<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:georss="http://www.georss.org/georss" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" > <channel> <title>hybrid cloud Archives - CDInsights</title> <atom:link href="https://www.clouddatainsights.com/tag/hybrid-cloud/feed/" rel="self" type="application/rss+xml" /> <link>https://www.clouddatainsights.com/tag/hybrid-cloud/</link> <description>Trsanform Your Business in a Cloud Data World</description> <lastBuildDate>Tue, 04 Jun 2024 14:12:20 +0000</lastBuildDate> <language>en-US</language> <sy:updatePeriod> hourly </sy:updatePeriod> <sy:updateFrequency> 1 </sy:updateFrequency> <generator>https://wordpress.org/?v=6.6.1</generator> <image> <url>https://www.clouddatainsights.com/wp-content/uploads/2022/05/CDI-Favicon-2-45x45.jpg</url> <title>hybrid cloud Archives - CDInsights</title> <link>https://www.clouddatainsights.com/tag/hybrid-cloud/</link> <width>32</width> <height>32</height> </image> <site xmlns="com-wordpress:feed-additions:1">207802051</site> <item> <title>Red Hat and Run:ai Collaborate for Enhanced Hybrid Cloud</title> <link>https://www.clouddatainsights.com/redhat-and-runeai-collaborate-for-enhanced-hybrid-cloud/</link> <comments>https://www.clouddatainsights.com/redhat-and-runeai-collaborate-for-enhanced-hybrid-cloud/#respond</comments> <dc:creator><![CDATA[Elizabeth Wallace]]></dc:creator> <pubDate>Sat, 01 Jun 2024 13:06:04 +0000</pubDate> <category><![CDATA[AI/ML]]></category> <category><![CDATA[artificial intelligence]]></category> <category><![CDATA[hybrid cloud]]></category> <category><![CDATA[RedHat]]></category> <category><![CDATA[Rune:ai]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=5210</guid> <description><![CDATA[Red Hat and Run:ai announced a strategic collaboration for enhanced hybrid cloud operations. Find out what it means.]]></description> <content:encoded><![CDATA[ <figure class="wp-block-image size-full"><img fetchpriority="high" decoding="async" width="1000" height="596" src="https://www.clouddatainsights.com/wp-content/uploads/2024/05/Depositphotos_612833614_S.jpg" alt="enhanced hybrid cloud" class="wp-image-5211" srcset="https://www.clouddatainsights.com/wp-content/uploads/2024/05/Depositphotos_612833614_S.jpg 1000w, https://www.clouddatainsights.com/wp-content/uploads/2024/05/Depositphotos_612833614_S-300x179.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2024/05/Depositphotos_612833614_S-768x458.jpg 768w" sizes="(max-width: 1000px) 100vw, 1000px" /></figure> <p>At the recent Red Hat Summit, Red Hat and Run:ai announced a collaboration to enhance Red Hat OpenShift AI with advanced GPU optimization capabilities. This partnership addresses the escalating demand for GPU resources as businesses expand their AI operations, ensuring efficient resource management and reliability across hybrid cloud environments. By integrating Run: ai’s resource allocation technologies, the initiative promises to significantly boost the scalability and performance of AI workflows and to offer enhanced hybrid cloud capabilities.</p> <h3 class="wp-block-heading">Addressing the Critical Need for GPU Optimization</h3> <p>As enterprises delve deeper into artificial intelligence (AI) to drive innovation and efficiency, the role of Graphics Processing Units (GPUs) becomes increasingly critical. GPUs are essential for powering complex AI processes such as model training, inference, and real-time data analysis. However, these powerful processors come with high costs and management challenges, particularly when deployed across distributed training jobs and inferencing tasks in a hybrid cloud environment.</p> <p>The collaboration between Red Hat and Run:ai is specifically designed to address these challenges. By optimizing the allocation and use of GPU resources, the partnership aims to prevent the underutilization of expensive GPU assets and manage the competing demands of various AI workloads. This capability is especially pertinent in <a href="https://www.rtinsights.com/red-hats-policy-as-code-designed-for-hybrid-cloud-and-ai-management/">hybrid cloud setups</a> where resource distribution and management can become fragmented and inefficient.</p> <p>Red Hat OpenShift AI, enhanced with Run:ai’s cutting-edge orchestration platform, now offers a solution that maximizes GPU utilization and simplifies the scheduling of AI workloads. It ensures that mission-critical tasks receive the necessary resources without delay. The integration of Run: ai’s technologies enables enterprises to adopt a more dynamic approach to resource management, where GPU power can be precisely allocated based on workload importance and urgency. This strategic optimization helps reduce operational costs and improve the overall efficiency of AI projects, enabling businesses to achieve more with their existing infrastructure.</p> <p>See also: <a href="https://www.clouddatainsights.com/navigating-the-next-era-of-hybrid-cloud-adoption/">Navigating the Next Era of Hybrid Cloud Adoption</a></p> <h3 class="wp-block-heading">Benefits of the Collaboration</h3> <p>The partnership between Red Hat and Run:ai brings several transformative advantages to enterprises seeking to enhance their AI capabilities within hybrid cloud environments. By integrating Run: ai’s advanced capabilities with Red Hat OpenShift AI, this collaboration streamlines GPU management and elevates the overall efficiency and effectiveness of AI operations.</p> <h4 class="wp-block-heading"><strong>Improved GPU Scheduling</strong></h4> <p>One of the foremost benefits of this collaboration is the enhancement of GPU scheduling. Run: ai’s technology integrates a dedicated workload scheduler into Red Hat OpenShift AI, prioritizing AI tasks based on urgency and resource requirements. Critical AI workloads receive the necessary computational power without delays, optimizing the throughput and reducing bottlenecks in AI processes.</p> <h4 class="wp-block-heading"><strong>Fractional GPU Utilization</strong></h4> <p>Another significant advancement brought about by this partnership is the ability to utilize fractional GPUs. This feature allows for the dynamic allocation of GPU resources, where tasks can use a portion of a GPU’s capabilities rather than the entire unit. Such granularity in resource allocation maximizes GPU usage and prevents resource wastage, making AI operations more cost-effective and scalable.</p> <h4 class="wp-block-heading"><strong>Enhanced Control Over Shared GPU Resources</strong></h4> <p>With multiple teams often working on different AI projects within an organization, managing shared GPU resources efficiently is crucial. The integration of Run: ai’s platform provides enhanced visibility and control over these resources. Teams across IT, data science, and application development can now access and allocate GPU resources more effectively, tailoring their usage to specific project needs. This enhanced control helps align resource allocation with organizational priorities and budgeting, improving the ROI on GPU investments.</p> <h3 class="wp-block-heading">Advanced Technical Enhancements for Streamlined AI Operations</h3> <p>The partnership between Red Hat and Run:ai introduces key technical enhancements to Red Hat OpenShift AI, optimizing GPU management for more efficient AI operations.</p> <ul class="wp-block-list"> <li><strong>Dedicated Workload Scheduler:</strong> Central to these enhancements is a sophisticated workload scheduler that intelligently prioritizes AI tasks based on their urgency and resource needs. This ensures that essential tasks access necessary resources promptly, reducing delays and boosting processing efficiency.</li> <li><strong>Dynamic Resource Allocation:</strong> This feature allows for flexible GPU usage, supporting fractional GPU utilization where tasks use only the needed portion of GPU resources. This adaptability maximizes GPU efficiency and cuts down on energy use and costs associated with underutilized GPUs.</li> <li><strong>Enhanced Visibility and Control:</strong> The collaboration improves visibility into GPU usage across various projects and teams, enabling better resource management decisions. Administrators gain precise control over GPU allocations, improving resource distribution alignment with project requirements and budgets.</li> </ul> <p>These enhancements streamline AI operations management and maximize ROI in AI technology investments, helping organizations maintain high operational efficiency and adapt swiftly to changing workload demands.</p> <p>See also: <a href="https://www.clouddatainsights.com/getting-the-most-from-cloud-parking/">Getting the Most from Cloud Parking</a></p> <h3 class="wp-block-heading">Future Prospects: Enhancing AI Deployment and Efficiency</h3> <p>As Red Hat and Run:ai advance their collaboration, they are planning developments that aim to enhance customer experiences and streamline AI model deployments in production environments:</p> <ul class="wp-block-list"> <li><strong>Seamless Integration and User Experience:</strong> Future updates will focus on deeper integration between Run: ai’s orchestration capabilities and Red Hat OpenShift AI, aiming to simplify the management of AI operations with an intuitive user interface and streamlined processes for faster deployment from development to production.</li> <li><strong>Automated AI Workflows:</strong> Automation of AI workflows is on the horizon. This will enable dynamic scaling and optimization of AI models based on real-time performance, thus enhancing operational efficiency and reducing the need for manual adjustments.</li> <li><strong>Enhanced Data Management Capabilities:</strong> Improvements are planned in data management to support quicker data ingestion, processing, and storage, which is crucial for the efficient training and deployment of complex AI models.</li> <li><strong>Expanded Support for Diverse Environments:</strong> The partnership intends to broaden support to various cloud services and infrastructures, facilitating more flexible AI application deployment across different platforms and enhancing resource utilization.</li> </ul> <p>These planned enhancements aim to elevate the standard of enterprise AI operations, making sophisticated AI capabilities more accessible and impactful across diverse industry sectors.</p> <h3 class="wp-block-heading">Building Enhanced Hybrid Cloud and Enterprise AI Operations</h3> <p>The collaboration between Red Hat and Run:ai marks a significant milestone in optimizing IT operations for the AI era, as emphasized at the Red Hat Summit. This partnership addresses the complex demands of managing AI and ML workloads in hybrid cloud environments by enhancing Red Hat OpenShift AI with advanced GPU management and workload scheduling features.</p> <p>The integration enables enterprises to manage and scale their AI operations efficiently, ensuring robust performance and resource optimization. Planned future enhancements aim to further streamline AI deployments through improved integration, automated workflows, and expanded cloud support, empowering businesses to use AI more effectively and sustainably.</p> <p>As AI continues transforming industries, the strategic alliance between Red Hat and Run:ai is crucial in helping organizations fully leverage their AI investments and drive global innovation. With enhanced hybrid cloud capabilities, companies can better take advantage of what the cloud can offer.</p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/05/Elizabeth-Wallace-RTInsights-141x150-1.jpg" width="100" height="100" alt="" itemprop="image"></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/elizabeth-wallace/" class="vcard author" rel="author"><span class="fn">Elizabeth Wallace</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p>Elizabeth Wallace is a Nashville-based freelance writer with a soft spot for data science and AI and a background in linguistics. She spent 13 years teaching language in higher ed and now helps startups and other organizations explain – clearly – what it is they do.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/redhat-and-runeai-collaborate-for-enhanced-hybrid-cloud/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">5210</post-id> </item> <item> <title>Red Hat Lightspeed Expands AI Across Hybrid Cloud Portfolio</title> <link>https://www.clouddatainsights.com/red-hat-lightspeed-expands-ai-across-hybrid-cloud-portfolio/</link> <comments>https://www.clouddatainsights.com/red-hat-lightspeed-expands-ai-across-hybrid-cloud-portfolio/#respond</comments> <dc:creator><![CDATA[Elizabeth Wallace]]></dc:creator> <pubDate>Sat, 25 May 2024 12:12:22 +0000</pubDate> <category><![CDATA[AI/ML]]></category> <category><![CDATA[hybrid cloud]]></category> <category><![CDATA[Lightspeed]]></category> <category><![CDATA[Red Hat]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=5213</guid> <description><![CDATA[Red Hat expands AI and hybrid cloud capabilities with Lightspeed. Discover how it is changing hybrid cloud implementation.]]></description> <content:encoded><![CDATA[ <figure class="wp-block-image size-full"><img decoding="async" width="999" height="625" src="https://www.clouddatainsights.com/wp-content/uploads/2024/05/Depositphotos_196169202_S.jpg" alt="AI and hybrid cloud" class="wp-image-5214" srcset="https://www.clouddatainsights.com/wp-content/uploads/2024/05/Depositphotos_196169202_S.jpg 999w, https://www.clouddatainsights.com/wp-content/uploads/2024/05/Depositphotos_196169202_S-300x188.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2024/05/Depositphotos_196169202_S-768x480.jpg 768w" sizes="(max-width: 999px) 100vw, 999px" /></figure> <p>At this month’s Red Hat Summit 2024, Red Hat announced the expansion of Red Hat Lightspeed across its platforms. This strategic move integrates enterprise-ready AI across the Red Hat hybrid cloud portfolio, enhancing productivity and efficiency for both novices and experienced professionals. The <a href="https://www.redhat.com/en/about/press-releases/red-hat-infuses-generative-ai-across-hybrid-cloud-portfolio-red-hat-lightspeed">new offerings</a>, Red Hat OpenShift Lightspeed and Red Hat Enterprise Linux Lightspeed, leverage generative AI (GenAI) to simplify complex processes and improve user experiences.</p> <p>See also: <a href="https://www.clouddatainsights.com/red-hat-marries-linux-and-ai-into-a-platform-for-ai/">Red Hat Marries Linux and AI into a Platform for AI</a></p> <h3 class="wp-block-heading">Transforming IT Operations with Red Hat Lightspeed</h3> <p>Red Hat Lightspeed, first introduced with the Red Hat Ansible Automation Platform, addresses industry-wide skills gaps and the growing complexity of hybrid cloud environments. By incorporating GenAI, Lightspeed helps users deploy, manage, and maintain systems more accurately and efficiently. This AI-driven approach frees IT teams from routine tasks, allowing them to focus on innovation.</p> <p>Integrating generative AI with IT platforms extends existing capabilities and enhances innovation in automation, contributing to more scalable and efficient operations.</p> <h3 class="wp-block-heading">Simplifying Application Management</h3> <p>Red Hat OpenShift, considered by many to be the leading hybrid cloud application platform powered by Kubernetes, now includes OpenShift Lightspeed. This integration applies GenAI to streamline the deployment and management of both traditional and cloud-native applications. OpenShift Lightspeed supports various scenarios, such as autoscaling recommendations when clusters reach capacity, optimizing resource allocation, and ensuring efficient application lifecycle management.</p> <p>For instance, OpenShift Lightspeed can suggest enabling autoscaling, recommend appropriate instance sizes based on public cloud hosting, and even propose using GitOps to standardize configurations across clusters. This capability is especially beneficial for novices learning the platform and experts seeking to maximize efficiency.</p> <h3 class="wp-block-heading">Enhancing Linux Management</h3> <p>Red Hat Enterprise Linux Lightspeed aims to simplify the deployment, management, and maintenance of Linux environments. This platform leverages GenAI to assist users in addressing everyday challenges and emerging issues. For example, when a new Common Vulnerability and Exploit (CVE) is announced, Red Hat Enterprise Linux Lightspeed can alert administrators about security advisories, identify affected systems, and help schedule updates during maintenance windows—all through intuitive commands.</p> <p>This AI-driven approach builds on Red Hat’s extensive experience in enterprise Linux, making it easier for both novice admins and seasoned IT professionals to manage complex environments efficiently.</p> <h3 class="wp-block-heading">Advancements in Red Hat Ansible Lightspeed</h3> <p>Since its release in 2023, Red Hat Ansible Lightspeed has seen continuous improvements designed to enhance the overall user experience and the relevance of code recommendations. These refinements have been pivotal in making the platform more efficient and user-friendly, addressing the diverse needs of its users.</p> <p>By focusing on these key advancements, Red Hat Ansible Lightspeed continues to set the standard for automation platforms, delivering powerful, user-friendly solutions that meet the evolving needs of modern IT environments.</p> <h4 class="wp-block-heading">Model Customization and Tuning</h4> <p>One of the most significant advancements in Ansible Lightspeed is the integration of IBM watsonx Code Assistant. This feature allows users to customize and tune the model using their existing Ansible content. By leveraging this capability, organizations can train the model on their specific automation patterns and requirements, leading to more accurate and relevant code recommendations. This personalized approach improves the quality of automation scripts and increases the overall efficiency of IT operations.</p> <h4 class="wp-block-heading">Enhanced Administrative Dashboard</h4> <p>Introducing an enhanced administrative dashboard gives administrators comprehensive insights into the platform’s usage. This dashboard includes telemetry data, metrics for GenAI requests, and user activity insights. By monitoring these metrics, administrators can optimize the usage and performance of Ansible Lightspeed, ensuring that the platform meets their organization’s specific needs. The ability to track and analyze usage patterns helps identify areas for improvement and make informed decisions about resource allocation.</p> <h4 class="wp-block-heading">Tailored Code Recommendations</h4> <p>Ansible Lightspeed’s code recommendation system has been fine-tuned to provide more contextually relevant suggestions. This improvement means that users receive recommendations that are more aligned with their existing workflows and automation scripts. By understanding the context in which certain tasks are performed, the system can offer more precise and actionable suggestions, reducing the time and effort required to develop and maintain automation scripts.</p> <h4 class="wp-block-heading">Integration with Open Source Projects</h4> <p>Red Hat’s commitment to innovation is evident in its plans to extend the capabilities of Ansible Lightspeed by integrating GenAI into other open-source projects, such as Konveyor. This integration aims to bring advanced AI-driven features to a broader range of tools and platforms, further enhancing the value of the Red Hat Lightspeed portfolio. By incorporating GenAI into these projects, Red Hat continues to support the open-source community and drive the development of innovative solutions.</p> <h3 class="wp-block-heading">The Future of AI and Hybrid Cloud</h3> <p>Red Hat’s vision for AI across the hybrid cloud involves running AI workloads where data resides, whether in data centers, public clouds, or at the edge. This approach ensures consistency and compliance while addressing data sovereignty and operational integrity challenges. By integrating AI into its platforms, Red Hat enables IT organizations to quickly acquire new skills and scale existing expertise.</p> <p>The goal of Red Hat Lightspeed is to put production-ready AI into the hands of IT professionals, enabling rapid skill acquisition and scaling expertise across the hybrid cloud.</p> <p>Looking ahead, Red Hat may further enhance Ansible Lightspeed with additional features and capabilities. Potential future developments could include deeper integration with other Red Hat products, more advanced AI algorithms for predictive maintenance, or expanded support for edge computing environments. These enhancements would help ensure that Ansible Lightspeed remains at the forefront of automation technology, providing users with cutting-edge tools to manage their IT infrastructure.</p> <p>See also: <a href="https://www.clouddatainsights.com/the-convergence-will-be-a-powerful-trend-in-technology/">The Convergence will be a Powerful Trend in Technology</a></p> <h3 class="wp-block-heading">Pioneering AI Integration for Enhanced Productivity and Innovation</h3> <p>Red Hat’s expansion of Lightspeed across its hybrid cloud portfolio marks a significant step in integrating AI to enhance productivity, simplify operations, and drive innovation. As hybrid cloud adoption grows, these AI-infused platforms will play a crucial role in helping IT teams navigate complexity and unlock new levels of efficiency.</p> <p>OpenShift Lightspeed is expected to be available in late 2024, with early access information available for interested users. Additionally, Red Hat Enterprise Linux Lightspeed is currently in the planning phase, with more details to come. However, the new features of Ansible Lightspeed are already generally available. </p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img loading="lazy" decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/05/Elizabeth-Wallace-RTInsights-141x150-1.jpg" width="100" height="100" alt="" itemprop="image"></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/elizabeth-wallace/" class="vcard author" rel="author"><span class="fn">Elizabeth Wallace</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p>Elizabeth Wallace is a Nashville-based freelance writer with a soft spot for data science and AI and a background in linguistics. She spent 13 years teaching language in higher ed and now helps startups and other organizations explain – clearly – what it is they do.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/red-hat-lightspeed-expands-ai-across-hybrid-cloud-portfolio/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">5213</post-id> </item> <item> <title>Red Hat Marries Linux and AI into a Platform for AI</title> <link>https://www.clouddatainsights.com/red-hat-marries-linux-and-ai-into-a-platform-for-ai/</link> <comments>https://www.clouddatainsights.com/red-hat-marries-linux-and-ai-into-a-platform-for-ai/#respond</comments> <dc:creator><![CDATA[Salvatore Salamone]]></dc:creator> <pubDate>Sat, 11 May 2024 17:19:35 +0000</pubDate> <category><![CDATA[Cloud Strategy]]></category> <category><![CDATA[artificial intelligence]]></category> <category><![CDATA[hybrid cloud]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=5203</guid> <description><![CDATA[Announcements from the conference put teeth into Red Hat’s approach to AI and automation. Similar to what was done with cloud and open source, Red Hat is now doing the same for AI with a platform for AI approach. ]]></description> <content:encoded><![CDATA[<div class="wp-block-image"> <figure class="aligncenter size-full"><img loading="lazy" decoding="async" width="1000" height="563" src="https://www.clouddatainsights.com/wp-content/uploads/2024/05/AI-Platform-Depositphotos_596564298_S.jpg" alt="" class="wp-image-5205" srcset="https://www.clouddatainsights.com/wp-content/uploads/2024/05/AI-Platform-Depositphotos_596564298_S.jpg 1000w, https://www.clouddatainsights.com/wp-content/uploads/2024/05/AI-Platform-Depositphotos_596564298_S-300x169.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2024/05/AI-Platform-Depositphotos_596564298_S-768x432.jpg 768w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption class="wp-element-caption"><em>Announcements from the conference put teeth into Red Hat’s approach to AI and automation. Similar to what was done with cloud and open source, Red Hat is now doing the same for AI with a platform for AI approach.</em></figcaption></figure></div> <p>This week’s <a href="https://www.redhat.com/en/summit" target="_blank" rel="noreferrer noopener">Red Hat Summit</a> saw many of the company’s broad AI aspirations announced last year come to fruition. The high-level theme, introduced in <a href="https://www.rtinsights.com/red-hat-summit-keynote-red-hat-doubles-down-on-ai/" target="_blank" rel="noreferrer noopener">Tuesday’s keynote address</a> by President and CEO Matt Hicks, centered on how Red Hat has doubled down on AI throughout its portfolio and in its efforts with industry partners.</p> <p>Red Hat’s origins and its open-source focus over the years was reflected in the news from the conference. Specifically, Hicks noted that, as a company, Red Hat believes open source is the best model for AI and AI innovations.</p> <h3 class="wp-block-heading">A Platform for AI</h3> <p>Red Hat announced that it provides the AI platforms that organizations need to connect their clouds, data, workloads, and IT infrastructure by infusing AI capabilities into its open-source platforms. For instance, Red Hat introduced new cross-portfolio Lightspeed offerings, updates to Red Hat OpenShift AI, and more to bring automated AI capabilities into its <a href="https://www.clouddatainsights.com/navigating-the-next-era-of-hybrid-cloud-adoption/" target="_blank" rel="noreferrer noopener">hybrid cloud</a> technologies.</p> <p>Some of the key announcements in this AI as a platform area included:</p> <p><strong>Red Hat Enterprise Linux AI</strong> (RHEL AI) brings together the <a href="https://huggingface.co/ibm/granite-7b-base" target="_blank" rel="noreferrer noopener">open source-licensed Granite</a> large language model (LLM) family from IBM Research, InstructLab model alignment tools based on the <a href="https://arxiv.org/abs/2403.01081" target="_blank" rel="noreferrer noopener">LAB (Large-scale Alignment for chatBots) methodology</a>, and a community-driven approach to model development through the <a href="https://github.com/instruct-lab" target="_blank" rel="noreferrer noopener">InstructLab project</a>.</p> <p>The solution is packaged as an optimized, bootable RHEL image for deployments across hybrid cloud infrastructure. The solution is also included as part of OpenShift AI, Red Hat’s hybrid machine learning operations (MLOps) platform, for running models and InstructLab at scale across distributed cluster environments.</p> <p>The <strong>expansion of Red Hat Lightspeed</strong> across its platforms, “infusing enterprise-ready AI across the Red Hat hybrid cloud portfolio,” according to the company. In this week’s news, <a href="https://red.ht/4b8il62" target="_blank" rel="noreferrer noopener">Red Hat OpenShift</a> Lightspeed and <a href="https://red.ht/3UDQd5h" target="_blank" rel="noreferrer noopener">Red Hat Enterprise Linux</a> Lightspeed will now offer natural language processing capabilities designed to make Red Hat’s enterprise-grade Linux and cloud-native application platforms easier to use for users of any skill level. It does this through an integration with generative AI technology.</p> <p><strong>Automated policy as code</strong> is a new capability coming in future versions of the Red Hat Ansible Automation Platform. The capability will help enforce policies and compliance across hybrid cloud environments that increasingly include a varied and growing number of AI applications.</p> <p><strong>Podman AI Lab</strong>, <a href="https://developers.redhat.com/products/podman-desktop/podman-ai-lab" target="_blank" rel="noreferrer noopener">an extension for Podman Desktop</a>, that gives developers the ability to build, test, and run generative artificial intelligence (GenAI)-powered applications in containers using an intuitive, graphical interface on their local workstation.</p> <p><strong>See also: </strong><a href="https://www.rtinsights.com/red-hat-simplifies-genai-development-and-ai-search/" target="_blank" rel="noreferrer noopener">Red Hat Simplifies GenAI Development and AI Search</a></p> <h3 class="wp-block-heading">Taking Open Source into New Application Areas</h3> <p>A prime benefit of providing an open-source platform is that it can spawn innovation in numerous application areas. A series of partner announcements from the conference offered a glimpse into what is possible.</p> <p>One of the most interesting efforts from the conference was the announcement of an expanded <strong>collaboration with Deloitte</strong> to help manage the complexity of multi-vendor software ecosystems across industries. One specific area the two companies will concentrate on is a comprehensive solution to support the development, systems engineering, testing, and operations of software-defined vehicle (SDV) product lines. With this collaboration, Deloitte and Red Hat will help organizations accelerate the transition from traditional hardware development methodologies to software-defined development cycles.</p> <p>SDVs are essentially edge data centers that deliver new capabilities and functionality to vehicles. To address the needs of this market, Red Hat and Deloitte have designed a pre-integrated, multi-vendor solution for SDVs based on the <a href="https://www.redhat.com/en/blog/new-standard-red-hat-vehicle-operating-system-modern-and-future-vehicles">Red Hat In-Vehicle Operating System</a>.</p> <p>The pre-integrated solution also includes <a href="https://red.ht/4b8il62">Red Hat OpenShift</a>, serving as the application platform offering a DevOps environment with a strong security posture and <a href="https://red.ht/4dgLOwr">Red Hat Ansible Automation Platform</a> and <a href="https://www.redhat.com/en/technologies/cloud-computing/quay">Red Hat Quay</a> for greater mission-critical automation and container image security capabilities in SDV development workflows.</p> <p>Those solutions are complemented by Deloitte’s SDV portfolio, which includes services and capabilities for systems engineering, DevSecOps, validation and verification, virtualization, and modern engineering. Deloitte’s capabilities are supported by generative AI (GenAI) for quality assurance and development teams, including use cases for spec-to-code generation, test case coverage, and intelligent vehicle diagnostics.</p> <h3 class="wp-block-heading">A Final Word</h3> <p>AI and automation are top priorities for most organizations today. However, many organizations face great challenges when they try to implement both technologies into their existing infrastructures and workflows.</p> <p>Open-source AI and automation solutions help ease the problems. They come with an eager community of developers and evangelists that can bring attention to new issues and get them resolved quickly.</p> <p>Announcements from the conference put teeth into Red Hat’s approach to AI and automation. Similar to what was done with cloud and open source, Red Hat is now doing the same for AI with a platform for AI approach.</p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img loading="lazy" decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/05/sal-headshot-150x150-1.webp" width="100" height="100" alt="" itemprop="image"></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/ssalamone/" class="vcard author" rel="author"><span class="fn">Salvatore Salamone</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p>Salvatore Salamone is a physicist by training who has been writing about science and information technology for more than 30 years. During that time, he has been a senior or executive editor at many industry-leading publications including High Technology, Network World, Byte Magazine, Data Communications, LAN Times, InternetWeek, Bio-IT World, and Lightwave, The Journal of Fiber Optics. He also is the author of three business technology books.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/red-hat-marries-linux-and-ai-into-a-platform-for-ai/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">5203</post-id> </item> <item> <title>Survey Highlights Surge in Cloud Adoption and Strategic Multi-cloud Engagement</title> <link>https://www.clouddatainsights.com/survey-highlights-surge-in-cloud-adoption-and-strategic-multi-cloud-engagement/</link> <comments>https://www.clouddatainsights.com/survey-highlights-surge-in-cloud-adoption-and-strategic-multi-cloud-engagement/#respond</comments> <dc:creator><![CDATA[Elizabeth Wallace]]></dc:creator> <pubDate>Thu, 25 Apr 2024 13:58:49 +0000</pubDate> <category><![CDATA[Cloud Strategy]]></category> <category><![CDATA[Migration]]></category> <category><![CDATA[hybrid cloud]]></category> <category><![CDATA[multi-cloud]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=5181</guid> <description><![CDATA[The survey found a notable shift towards increased efficient cloud adoption, as well as a move to multi-cloud and hybrid cloud strategies. ]]></description> <content:encoded><![CDATA[<div class="wp-block-image"> <figure class="aligncenter size-full"><img loading="lazy" decoding="async" width="1000" height="667" src="https://www.clouddatainsights.com/wp-content/uploads/2024/04/multi-cloud-Depositphotos_8872627_S.jpg" alt="" class="wp-image-5183" srcset="https://www.clouddatainsights.com/wp-content/uploads/2024/04/multi-cloud-Depositphotos_8872627_S.jpg 1000w, https://www.clouddatainsights.com/wp-content/uploads/2024/04/multi-cloud-Depositphotos_8872627_S-300x200.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2024/04/multi-cloud-Depositphotos_8872627_S-768x512.jpg 768w, https://www.clouddatainsights.com/wp-content/uploads/2024/04/multi-cloud-Depositphotos_8872627_S-930x620.jpg 930w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption class="wp-element-caption">The survey found a notable <em>shift towards increased efficient cloud adoption, as well as a move to strategic multi-cloud and hybrid cloud strategies.</em></figcaption></figure></div> <p>The adoption of cloud computing continues to escalate among tech professionals and IT leaders, as indicated by IT management software company Flexera’s “<a href="https://info.flexera.com/CM-REPORT-State-of-the-Cloud">2024 State of the Cloud</a>” report . This year’s findings reveal a significant uptick in the number of organizations planning to migrate more workloads to the cloud, highlighting a trend toward more sophisticated utilization of cloud resources.</p> <h3 class="wp-block-heading"><a></a>Cloud migration and the multi-cloud</h3> <p>This year’s survey gathered responses from over 750 tech professionals and IT leaders. It reveals a notable shift towards increased and more efficient cloud adoption, as well as robust engagement with multi-cloud and hybrid cloud strategies. Responses show 58% of respondents planning to escalate their cloud workloads in 2024, highlighting an industry-wide effort to optimize existing cloud resources effectively. The establishment of FinOps teams in over half of the organizations underlines a strategic approach to curbing unnecessary cloud expenditure. Furthermore, the adoption of sophisticated multi-cloud (89%) and hybrid cloud (73%) setups indicates a deepening commitment to leveraging cloud technologies for greater business agility. Organizations increasingly operate applications across diverse clouds and enhance operational continuity by enabling workload failover between clouds. This signifies a strategic embrace of the cloud as a foundational element for innovative business solutions.</p> <p><strong>See also: </strong><a href="https://www.clouddatainsights.com/what-strategic-decisions-to-consider-for-cloud-repatriation/" target="_blank" rel="noreferrer noopener">What Strategic Decisions to Consider for Cloud Repatriation</a></p> <h3 class="wp-block-heading"><a></a>Challenges and Opportunities in Cloud Adoption</h3> <p>Despite the enthusiasm for cloud migration, challenges remain. Identifying application dependencies is cited as a significant hurdle, alongside the need for cost assessments comparing on-premises and cloud solutions. However, the report also sheds light on the rapid adoption of generative AI services in the public cloud, with 85% of organizations using them in some capacity, though many are still in the experimentation phase. This exploration of new technologies, alongside the evolving strategies for cloud deployment, reflects a dynamic and advancing landscape for cloud computing in the tech industry.</p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img loading="lazy" decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/05/Elizabeth-Wallace-RTInsights-141x150-1.jpg" width="100" height="100" alt="" itemprop="image"></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/elizabeth-wallace/" class="vcard author" rel="author"><span class="fn">Elizabeth Wallace</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p>Elizabeth Wallace is a Nashville-based freelance writer with a soft spot for data science and AI and a background in linguistics. She spent 13 years teaching language in higher ed and now helps startups and other organizations explain – clearly – what it is they do.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/survey-highlights-surge-in-cloud-adoption-and-strategic-multi-cloud-engagement/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">5181</post-id> </item> <item> <title>Navigating the Next Era of Hybrid Cloud Adoption</title> <link>https://www.clouddatainsights.com/navigating-the-next-era-of-hybrid-cloud-adoption/</link> <comments>https://www.clouddatainsights.com/navigating-the-next-era-of-hybrid-cloud-adoption/#respond</comments> <dc:creator><![CDATA[Michael Curry]]></dc:creator> <pubDate>Fri, 19 Apr 2024 12:26:44 +0000</pubDate> <category><![CDATA[Cloud Strategy]]></category> <category><![CDATA[Data Architecture]]></category> <category><![CDATA[hybrid cloud]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=5171</guid> <description><![CDATA[By embracing a strategic approach to data and workload migration and leveraging the inherent flexibility of hybrid cloud architectures, businesses can navigate the complexities of modernization while driving innovation and resilience.]]></description> <content:encoded><![CDATA[<div class="wp-block-image"> <figure class="aligncenter size-full"><img loading="lazy" decoding="async" width="1000" height="600" src="https://www.clouddatainsights.com/wp-content/uploads/2024/04/hybrid-cloud-Depositphotos_677130160_S.jpg" alt="" class="wp-image-5175" srcset="https://www.clouddatainsights.com/wp-content/uploads/2024/04/hybrid-cloud-Depositphotos_677130160_S.jpg 1000w, https://www.clouddatainsights.com/wp-content/uploads/2024/04/hybrid-cloud-Depositphotos_677130160_S-300x180.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2024/04/hybrid-cloud-Depositphotos_677130160_S-768x461.jpg 768w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption class="wp-element-caption"><em>By embracing a strategic approach to data and workload migration and leveraging the inherent flexibility of hybrid cloud architectures, businesses can navigate the complexities of modernization while driving innovation and resilience.</em></figcaption></figure></div> <p>The hybrid cloud landscape is rapidly evolving, and some companies struggle to keep up with the new innovations. By 2028, <a href="https://www.gartner.com/en/newsroom/press-releases/2023-05-16-gartner-says-4-trends-are-shaping-the-future-of-cloud-data-center-and-edge-infrastructure" target="_blank" rel="noreferrer noopener">Gartner</a> forecasts that modernization efforts will culminate in 70% of workloads running in a cloud environment, up from 25% in 2023. To date, moving workloads to the cloud has primarily involved tackling the relatively easy data and workloads running on-premises—the low-hanging fruit. The next wave of data migration to the cloud will not be as easy and will require a greater understanding of transactional data and applications, many of which run on mainframes today.</p> <p>From evaluating the business case for migration to navigating the complexities of data governance and compliance, each facet of the migration journey presents unique considerations that demand careful deliberation. For companies navigating the next era of hybrid cloud adoption, several strategies and considerations must be considered to best uncover the untapped potential of <a href="https://www.gartner.com/en/newsroom/press-releases/2023-05-16-gartner-says-4-trends-are-shaping-the-future-of-cloud-data-center-and-edge-infrastructure" target="_blank" rel="noreferrer noopener">migrating the remaining 45% of workloads</a>.</p> <h3 class="wp-block-heading"><strong>Exploring the Uncharted Territory</strong></h3> <p>As companies embark on the journey toward hybrid cloud, they must delineate the purpose of their data migration endeavors. Whether leveraging advanced AI tools or developing innovative customer-facing applications, accessibility to data is paramount for driving transformative initiatives. By articulating clear objectives, businesses can align their migration investments with their overarching business strategy, maximizing the value derived from cloud adoption.</p> <p>Every successful journey begins with a map. Likewise, a comprehensive inventory of existing data assets is essential for effective migration to the cloud. Particularly for established enterprises, legacy data may be scattered across various repositories, rendering it challenging to assess comprehensively. Identifying these data silos and understanding where they fit into various modernization efforts is critical to identifying whether they are a priority for data migration, helping organizations allocate resources effectively.</p> <p>This discovery process not only enhances visibility into the entirety of the data landscape but also facilitates the identification of redundant or obsolete datasets that can be archived or decommissioned, thereby optimizing storage and operational costs. Additionally, by mapping data dependencies and interrelationships, businesses can mitigate the risk of data fragmentation and ensure trust and seamless integration into hybrid cloud environments. This also enables a more thorough analysis of data residency requirements and regulatory constraints, enabling organizations to proactively address compliance considerations and minimize potential legal and reputational risks associated with data migration.</p> <p>Overall, a systematic approach to data discovery and classification serves as a cornerstone for successful hybrid cloud adoption, laying the groundwork for robust data governance and future scalability.</p> <p><strong>See also: </strong><a href="https://www.clouddatainsights.com/hybrid-cloud-leads-the-way-but-few-have-holistic-strategy/">Hybrid Cloud Leads The Way, But Few Have Holistic Strategy</a></p> <h3 class="wp-block-heading"><strong>Strategically Deciding What Workloads Should Migrate to the Cloud</strong></h3> <p>Not all workloads are destined for cloud migration. While the allure of cloud-native solutions is undeniable, specific applications may remain best suited for mainframe environments due to various factors.</p> <p>One critical consideration is performance requirements; some transactional workloads may require consistent high processing speeds, low latency, and high availability provided by mainframe systems, making them unsuitable for migration to the cloud. Additionally, regulatory compliance plays a significant role in determining the suitability of cloud migration for specific workloads. Industries such as finance and healthcare, which handle sensitive customer data, must navigate stringent regulatory frameworks that may limit the feasibility of cloud migration. Moreover, cost considerations must be carefully weighed when evaluating the migration of workloads to the cloud.</p> <p>While cloud solutions offer scalability and cost-efficiency benefits, certain workloads may incur higher operational costs or require significant rearchitecting to function optimally in the cloud environment. Hence, organizations must discern the optimal deployment model for each workload, striking a delicate balance between innovation and pragmatism. Organizations can maximize the value derived from hybrid cloud adoption while mitigating potential risks and optimizing resource utilization by conducting thorough assessments of workload characteristics and aligning migration strategies with overarching business objectives.</p> <p>However, even when workloads remain in place, data can often be made available to cloud applications and analytics and AI initiatives, either by providing access through virtualized queries or by replicating and synchronizing data between platforms on an ongoing basis.</p> <p>Embracing a phased approach to workload transfer facilitates a smooth transition to the hybrid cloud. An incremental strategy not only minimizes disruption but also enables iterative optimization of cloud deployments, fostering continuous innovation and agility. Breaking down the migration process into manageable stages allows for targeted resource allocation and risk management, ensuring that each workload transition is executed with precision and minimal impact on day-to-day operations.</p> <p>Additionally, adopting a phased approach provides feedback and course correction opportunities, enabling organizations to refine their migration strategies based on real-time insights and evolving business requirements. By prioritizing high-impact data that offer immediate business value, organizations can demonstrate tangible benefits early in the migration journey, garnering support and buy-in from stakeholders across the enterprise. As data and workloads are progressively migrated to the cloud, organizations can leverage the flexibility of hybrid architectures to optimize resource utilization and swiftly adapt to changing market dynamics. Ultimately, a phased approach to data and workload transfer accelerates the pace of cloud adoption and lays the foundation for long-term innovation and competitive advantage in an increasingly digital world.</p> <h3 class="wp-block-heading"><strong>Seeing Hybrid Cloud Adoption in Action</strong></h3> <p>Companies who embark on the journey to hybrid cloud often experience enormous benefits. <a href="https://www.rocketsoftware.com/customer-case-studies/liberty-mutual-insurance">Liberty Mutual Insurance</a>, a leading global insurer, migrated to the cloud to provide the flexibility and connectivity needed to modernize its content management operations. With more than 30 million customer profiles, 40 billion records, and over 45,000 employees, Liberty Mutual needed to modernize operations through fast, secure data migration from mainframe repositories to cloud systems to remain competitive and provide the best service—all without disrupting business operations.</p> <p>By migrating to the cloud, not only was Liberty Mutual able to implement innovative cloud and open-source software, but the organization could harness data-driven insights to enhance customer experiences and drive competitive differentiation. By migrating select workloads to the cloud, Liberty Mutual gained unprecedented agility in deploying AI-powered analytics solutions, enabling personalized offerings and predictive decision-making.</p> <p>This strategic migration positioned Liberty Mutual as a frontrunner in the fiercely competitive insurance landscape and underscored the transformative potential of hybrid cloud architectures in driving business agility and resilience. As organizations across all industries embark on their own journeys toward hybrid cloud adoption, the successful ones will improve business insights and customer satisfaction. In an era of rapid technological advancement and digital disruption, embracing hybrid cloud solutions is not merely a choice but a strategic imperative for those poised to thrive in the digital age.</p> <p>As the landscape continues to evolve, the next era of hybrid cloud adoption presents unparalleled opportunities for organizations to unlock the full potential of their data assets. It is imperative that businesses effectively and strategically migrate the critical but harder-to-access data that resides on the mainframe. By embracing a strategic approach to data and workload migration and leveraging the inherent flexibility of hybrid cloud architectures, businesses can navigate the complexities of modernization while driving innovation and resilience. The journey towards optimal cloud delivery is well underway – and the future promises boundless possibilities for those willing to embrace change.</p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img alt='Michael Curry' src='https://secure.gravatar.com/avatar/a9a94ecc325e9aef9e469349747de92d?s=100&d=mm&r=g' srcset='https://secure.gravatar.com/avatar/a9a94ecc325e9aef9e469349747de92d?s=200&d=mm&r=g 2x' class='avatar avatar-100 photo' height='100' width='100' itemprop="image"/></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/michael-curry/" class="vcard author" rel="author"><span class="fn">Michael Curry</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p><strong>Michael Curry is the President of the Data Modernization Business Unit at </strong><strong><a href="https://www.rocketsoftware.com/">Rocket Software</a></strong>. He joined <a href="https://www.rocketsoftware.com/">the</a> company in 2023, bringing with him extensive knowledge of building business software products, defining and executing software product strategy, and implementing large-scale systems within Fortune 500 companies. As president, he oversees worldwide strategy, development, and product management for the Data Modernization business unit. Prior to Rocket Software, he served as an executive in residence for Great Hill Partners, a Growth Private Equity firm in Boston, where he led a detailed market assessment of the Data and AI markets. His background also includes leadership positions in multiple software companies, including 17 years at IBM, leading strategy and execution in business lines across integration, artificial intelligence, data governance and analytics, and SaaS business applications. He has served as a member of the IBM Technology Team, the IBM AI Ethics Board, and the IBM Distinguished Industry Leader Board. This deep experience underscores his track record across all facets of building software businesses.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/navigating-the-next-era-of-hybrid-cloud-adoption/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">5171</post-id> </item> <item> <title>The Impact of Generative AI on Cloud Storage</title> <link>https://www.clouddatainsights.com/the-impact-of-generative-ai-on-cloud-storage/</link> <comments>https://www.clouddatainsights.com/the-impact-of-generative-ai-on-cloud-storage/#respond</comments> <dc:creator><![CDATA[Elizabeth Wallace]]></dc:creator> <pubDate>Thu, 25 Jan 2024 13:55:12 +0000</pubDate> <category><![CDATA[AI/ML]]></category> <category><![CDATA[GenAI]]></category> <category><![CDATA[hybrid cloud]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=4910</guid> <description><![CDATA[Generative AI is changing how companies are thinking about cloud storage. ]]></description> <content:encoded><![CDATA[ <figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="1000" height="667" src="https://www.clouddatainsights.com/wp-content/uploads/2024/01/Depositphotos_287898424_S.jpg" alt="generative AI and cloud storage" class="wp-image-4911" srcset="https://www.clouddatainsights.com/wp-content/uploads/2024/01/Depositphotos_287898424_S.jpg 1000w, https://www.clouddatainsights.com/wp-content/uploads/2024/01/Depositphotos_287898424_S-300x200.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2024/01/Depositphotos_287898424_S-768x512.jpg 768w, https://www.clouddatainsights.com/wp-content/uploads/2024/01/Depositphotos_287898424_S-930x620.jpg 930w" sizes="(max-width: 1000px) 100vw, 1000px" /></figure> <p>Generative AI (GenAI) is a rapidly evolving and increasingly influential force. This domain, encompassing sophisticated machine learning models that generate text, images, and other complex outputs, is reshaping just about everything, technology-focused or otherwise. As GenAI systems grow in complexity and capability, so too do their demands for vast, diverse, and ever-expanding datasets. These escalating data requirements are not just a technical challenge; they represent a pivotal shift in how enterprises approach data and cloud storage and management.</p> <p>In response to this shift, a significant transition is occurring within the storage strategies of organizations. Enterprises, recognizing the limitations of traditional storage paradigms, are increasingly turning towards hybrid cloud storage solutions. This move is not merely a trend but a strategic adaptation to the unique demands posed by GenAI. Hybrid cloud storage, with its blend of on-premises and cloud-based resources, offers a flexible and scalable approach to data management. It provides the agility to handle large volumes of data generated by GenAI applications while also addressing security, compliance, and cost-efficiency concerns.</p> <p>See also: Cloud Control: <a href="https://www.clouddatainsights.com/cloud-control-effective-strategies-for-navigating-the-multi-cloud-era/">Effective Strategies for Navigating the Multi-Cloud Era</a></p> <p>As GenAI continues to advance and integrate deeper into various sectors – from healthcare and finance to entertainment and academia – the role of hybrid cloud storage becomes ever more critical. This integration is not a simple plug-and-play solution; it requires a nuanced understanding of both the capabilities of GenAI and the intricacies of cloud and on-premises storage systems. The evolution of storage strategies in response to GenAI is a testament to the dynamic nature of technological progress and the continuous adaptation enterprises require to stay at the forefront of innovation.</p> <h3 class="wp-block-heading">Drivers for the Shift to Hybrid Cloud Storage</h3> <p>The migration towards hybrid cloud storage in the realm of Generative AI (GenAI) is driven by a confluence of factors, chief among them being the burgeoning data volumes and the intricate nature of GenAI applications.</p> <h4 class="wp-block-heading">Escalating Data Volumes and Complexity in GenAI</h4> <p>GenAI applications are renowned for their voracious appetite for data. As these models delve into more complex tasks, such as generating high-fidelity images or understanding nuanced human languages, the quantum of data required scales exponentially. This data isn’t just vast in volume; it’s varied in type and complex in structure. Handling such multifaceted data necessitates a storage solution that’s expansive and adept at managing the complexities of data types and formats.</p> <p>Traditional on-premises storage systems, while robust and secure, often lack the scalability and flexibility required for such dynamic data handling. Conversely, cloud storage offers the necessary scalability but can sometimes fall behind in areas of data sovereignty and latency-sensitive operations. This is where the hybrid cloud model comes into play, presenting a balanced solution that harnesses the best of both worlds.</p> <p>See also: <a href="https://www.clouddatainsights.com/a-roadmap-to-boost-data-team-productivity-in-the-era-of-generative-ai/">A Roadmap to Boost Data Team Productivity in the Era of Generative AI</a></p> <h4 class="wp-block-heading">Balancing Flexibility and Control</h4> <p>In the hybrid cloud storage model, the scalability and flexibility of the cloud are leveraged to handle large-scale data processing and storage needs. This is particularly beneficial for GenAI applications that continuously evolve and require swift scaling of resources. The cloud component allows enterprises to adapt to these changing needs without the capital expense and physical constraints of expanding on-premises infrastructure.</p> <p>Simultaneously, the hybrid model retains critical aspects of on-premises storage, notably control and security. Data security and compliance are non-negotiable for organizations, especially those in regulated industries like healthcare and finance. The on-premises element of hybrid cloud storage provides the control needed to manage sensitive data, meet regulatory requirements, and ensure that critical operations are not entirely dependent on external cloud environments.</p> <p>This balance is not just a matter of convenience; it’s a strategic imperative. The flexibility of the cloud enables enterprises to experiment with and deploy GenAI applications rapidly. At the same time, controlling on-premises storage ensures that they can manage and protect their core assets effectively. In essence, hybrid cloud storage is emerging as a foundational component in the GenAI era, facilitating innovation while safeguarding the integrity and security of enterprise data.</p> <h3 class="wp-block-heading">Challenges in Adoption</h3> <p>Adopting hybrid cloud storage in response to the demands of Generative AI (GenAI) presents several significant challenges, encompassing technical, logistical, security, and compliance aspects.</p> <h4 class="wp-block-heading">Technical and Logistical Integration Challenges</h4> <p>Integrating cloud storage with existing on-premises infrastructure is a complex endeavor. It involves ensuring compatibility between different systems and technologies and managing data transfer and accessibility across diverse platforms. Additionally, streamlining workflows to optimize data management across hybrid environments is essential but can be intricate. Challenges also arise in scaling the infrastructure to meet evolving data needs without disrupting existing operations.</p> <h4 class="wp-block-heading">Security and Compliance Concerns</h4> <p>Maintaining robust security as data traverses between cloud and on-premises systems is a major challenge. This is compounded by the need to adhere to industry-specific regulations and data residency requirements. Ensuring regulatory compliance and data sovereignty across both environments is crucial but often challenging. Proactive risk management and continuous monitoring are imperative to address potential threats and vulnerabilities in a dynamic hybrid environment.</p> <h4 class="wp-block-heading">Pathways to Overcome Adoption Challenges</h4> <p>Successfully navigating the complex landscape of hybrid cloud storage requires strategic and thoughtful approaches. Organizations must focus on several key areas to overcome the technical, logistical, security, and compliance challenges associated with integrating cloud and on-premises solutions.</p> <ul class="nv-cv-m wp-block-list"> <li>Skilled Personnel and Training: Invest in training for existing IT staff. Hire specialists in hybrid cloud solutions.</li> <li>Partnering with Experienced Vendors: Collaborate with vendors with expertise in hybrid cloud integrations. Utilize their specialized tools and support.</li> <li>Iterative Implementation and Testing: Adopt a phased approach to integration. Conduct thorough testing at each stage.</li> <li>Advanced Security Measures: Implement end-to-end encryption and robust security solutions. Use data governance tools for policy enforcement.</li> <li>Compliance and Data Governance: Develop comprehensive strategies for regulatory compliance. Employ tools to manage data sovereignty issues.</li> <li>Scalability and Infrastructure Flexibility: Use modular infrastructure designs for scalability. Implement flexible resource allocation strategies.</li> <li>Effective Data Management: Develop efficient data migration strategies. Implement unified data management tools.</li> </ul> <p>By focusing on these areas, <a href="https://www.rtinsights.com/the-definitive-guide-to-generative-ai-for-industry/">organizations can effectively manage</a> the complexities of hybrid cloud storage, ensuring a secure, compliant, and scalable infrastructure that fully supports the demands of GenAI applications.</p> <h3 class="wp-block-heading">Industry Adoption and Examples</h3> <p>The adoption of hybrid cloud storage <a href="https://www.clouddatainsights.com/unlocking-business-success-in-2023-and-beyond-the-power-of-cloud-and-generative-ai/">by enterprises</a> is being shaped not only by its potential benefits but also by the challenges it presents. These challenges influence how and why industries implement hybrid cloud solutions.</p> <p>Adoption Trends in Various Industries</p> <ul class="nv-cv-m wp-block-list"> <li><strong>Healthcare</strong>: In healthcare, secure and compliant data management is paramount. Hybrid cloud storage allows sensitive patient data to be kept on-premises while leveraging cloud capabilities for large-scale data analysis, such as in genomic research or patient data analytics. The balancing act between security and scalability is a key driver for hybrid adoption in this sector.</li> <li><strong>Financial Services</strong>: Financial institutions are adopting hybrid cloud storage to manage the vast amounts of data required for real-time processing and analysis, such as for fraud detection and risk assessment. The need for stringent data security and regulatory compliance, while also requiring scalable computing resources, makes the hybrid model suitable.</li> <li><strong>Retail and E-commerce</strong>: These sectors utilize hybrid cloud storage for handling customer data and analytics while maintaining compliance with consumer data protection laws. The flexibility to scale during peak shopping periods while maintaining control over sensitive customer information is a critical consideration.</li> </ul> <h4 class="wp-block-heading">Influence of Challenges on Adoption</h4> <p>The challenges associated with hybrid cloud storage, such as technical integration complexities and security concerns, are influencing the pace and manner of its adoption across industries. Sectors with high regulatory compliance needs, like healthcare and finance, are particularly cautious, ensuring that security and compliance are not compromised while pursuing scalability and flexibility. The technical challenge of integrating disparate systems is leading some enterprises to seek partnerships with experienced vendors who can provide expertise and tailored solutions.</p> <p>Overall, the industry adoption of hybrid cloud storage is marked by a careful balancing act, where the benefits of scalability and flexibility are weighed against the need for security, compliance, and seamless integration. This cautious yet strategic approach is guiding the transformation of enterprise data management in the era of GenAI.</p> <p>So what does that look like in the real world? Here are some hypothetical examples: </p> <ul class="nv-cv-d nv-cv-m wp-block-list"> <li><strong>A Global Bank’s Hybrid Strategy</strong>: One prominent global bank implemented a hybrid cloud solution to manage its financial data. The bank stores sensitive customer information on-premises to comply with data residency regulations while employing cloud-based analytics to gain insights into customer behavior and market trends.</li> <li><strong>Healthcare Research Organization</strong>: A leading healthcare research organization uses hybrid cloud storage to manage its vast repositories of medical data. Patient records are stored in secure on-premises servers, while cloud computing resources are used for computational-intensive tasks like DNA sequencing and drug discovery research.</li> <li><strong>Retail Giant’s Scalable Solution</strong>: A major retail corporation adopted a hybrid cloud storage approach to manage customer data and online transaction processing. During high-demand periods like Black Friday or Cyber Monday, they leverage the cloud’s scalability to handle the surge in online shopping traffic and data processing while keeping sensitive data under their control.</li> </ul> <p>See also: <a href="https://www.clouddatainsights.com/explore-the-mutual-advantages-of-generative-ai-and-the-cloud/">Explore the Mutual Advantages of Generative AI and the Cloud</a></p> <h3 class="wp-block-heading">Future Prospects</h3> <p>As Generative AI (GenAI) continues to grow and evolve, the landscape of hybrid cloud storage is expected to undergo significant transformations. These changes will be a result of both the escalating demands of GenAI applications and the continuous advancements in storage technology.</p> <h4 class="wp-block-heading">Evolution of Hybrid Cloud Storage with GenAI</h4> <ul class="nv-cv-d nv-cv-m wp-block-list"> <li><strong>Increased Automation and AI Integration</strong>: Future hybrid cloud storage solutions will likely incorporate more advanced AI and machine learning algorithms to automate data management tasks. This includes predictive analytics for capacity planning, automated data tiering, and intelligent data caching, which can significantly improve efficiency and reduce operational costs.</li> <li><strong>Enhanced Security and Compliance Tools</strong>: As GenAI applications delve into more sensitive areas, the need for robust security and compliance measures in hybrid cloud storage will become more acute. Expect advancements in encryption technologies, AI-driven security monitoring, and more sophisticated compliance management tools to ensure data protection and regulatory adherence.</li> <li><strong>Greater Scalability and Flexibility</strong>: The future of hybrid cloud storage will emphasize even greater scalability and flexibility. Technologies like containerization and microservices architectures will play a crucial role, allowing businesses to dynamically allocate resources across cloud and on-premises environments depending on their changing needs.</li> </ul> <p>See also: <a href="https://www.clouddatainsights.com/navigating-the-cloud-in-2024-ai-disruptions-emerging-players-and-standardization-challenges/">Navigating the Cloud in 2024: AI Disruptions, Emerging Players, and Standardization Challenges</a></p> <h4 class="wp-block-heading">Technological Advancements to Watch Out For:</h4> <ul class="nv-cv-d nv-cv-m wp-block-list"> <li><strong>Edge Computing Integration</strong>: The integration of edge computing with hybrid cloud storage is anticipated to be a significant trend. This will facilitate faster data processing and decision-making at the edge, which is particularly beneficial for real-time GenAI applications like autonomous vehicles and IoT devices.</li> <li><strong>Quantum Computing’s Impact</strong>: As quantum computing matures, its potential impact on hybrid cloud storage and GenAI is immense. Quantum computing could increase processing capabilities exponentially, enabling more complex AI models and potentially revolutionizing data encryption and security.</li> <li><strong>Sustainable and Energy-Efficient Storage Solutions</strong>: Sustainability will become a more pressing concern. We can expect innovations in energy-efficient storage technologies and strategies to reduce the carbon footprint of large data centers.</li> <li><strong>Advanced Data Fabric and Interoperability Solutions</strong>: It is likely that sophisticated methodologies like data fabrics will evolve to enable seamless data movement and access across hybrid environments. This will enhance interoperability between different cloud services and on-premises systems, making data integration and management more efficient.</li> </ul> <p>The future of hybrid cloud storage in the context of GenAI should see dynamic growth and innovation. With an emphasis on automation, security, scalability, and sustainability, these advancements will not only cater to the increasing demands of GenAI but also pave the way for new capabilities and applications in various sectors. As technology evolves, so too will the strategies and solutions for managing the ever-growing data needs of GenAI, offering exciting prospects for enterprises and technology providers alike.</p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img loading="lazy" decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/05/Elizabeth-Wallace-RTInsights-141x150-1.jpg" width="100" height="100" alt="" itemprop="image"></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/elizabeth-wallace/" class="vcard author" rel="author"><span class="fn">Elizabeth Wallace</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p>Elizabeth Wallace is a Nashville-based freelance writer with a soft spot for data science and AI and a background in linguistics. She spent 13 years teaching language in higher ed and now helps startups and other organizations explain – clearly – what it is they do.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/the-impact-of-generative-ai-on-cloud-storage/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">4910</post-id> </item> <item> <title>Cloud Control: Effective Strategies for Navigating the Multi-Cloud Era</title> <link>https://www.clouddatainsights.com/cloud-control-effective-strategies-for-navigating-the-multi-cloud-era/</link> <comments>https://www.clouddatainsights.com/cloud-control-effective-strategies-for-navigating-the-multi-cloud-era/#respond</comments> <dc:creator><![CDATA[Nitha Puthran]]></dc:creator> <pubDate>Tue, 09 Jan 2024 16:05:24 +0000</pubDate> <category><![CDATA[Cloud Strategy]]></category> <category><![CDATA[cloud governance]]></category> <category><![CDATA[Cloud strategy]]></category> <category><![CDATA[hybrid cloud]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=4879</guid> <description><![CDATA[Companies wanting the "goldilocks" of the cloud need a new approach. Find out what strategies for multi-cloud are necessary for success.]]></description> <content:encoded><![CDATA[<div class="wp-block-image"> <figure class="aligncenter size-full"><img loading="lazy" decoding="async" width="1000" height="707" src="https://www.clouddatainsights.com/wp-content/uploads/2024/01/Depositphotos_318319818_S.jpg" alt="Strategies for the multi-cloud" class="wp-image-4880" srcset="https://www.clouddatainsights.com/wp-content/uploads/2024/01/Depositphotos_318319818_S.jpg 1000w, https://www.clouddatainsights.com/wp-content/uploads/2024/01/Depositphotos_318319818_S-300x212.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2024/01/Depositphotos_318319818_S-768x543.jpg 768w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption class="wp-element-caption"><em>Companies wanting the “goldilocks” of the cloud need a new approach. Find out what strategies for multi-cloud are necessary for success.</em></figcaption></figure></div> <p>To find the right cloud fit, companies need a thoughtful approach. However, the goldilocks fit is possible with the right strategies for multi-cloud. </p> <p>Most companies today operate in the cloud, whether through a public or private cloud, on-premises (“on-prem”) servers, or some combination. In just the past decade, cloud computing has gained nearly universal adoption – today, 87% of organizations have a <a href="https://www.flexera.com/blog/cloud/cloud-computing-trends-2021-state-of-the-cloud-report/">multi-cloud strategy</a> in place or underway. </p> <p>See also: <a href="https://www.clouddatainsights.com/is-hybrid-cloud-the-way-to-deal-with-public-cloud-costs/">Is Hybrid Cloud the Way to Deal With Public Cloud Costs?</a></p> <p>Of all options, the most common is the <a href="https://www.techtarget.com/searchcloudcomputing/definition/hybrid-cloud">hybrid cloud</a> strategy, a combination of two or more different types of clouds and/or other on-prem deployments that provide high degrees of flexibility, scalability, and cost savings. Last year, Cisco’s <a href="https://www.techrepublic.com/article/report-82-of-it-leaders-are-adopting-the-hybrid-cloud/">Global Hybrid Cloud Trends Report</a> found that 82% of IT leaders said they have adopted the hybrid cloud, a big increase in just the past year, that industry experts equate in part to a rise in remote work and companies optimizing their compute infrastructure by keeping some of their data stored in legacy on-prem infrastructure. </p> <p>Despite its popularity, a hybrid cloud isn’t always the right fit for every company –management can become complex, and data compatibility and movement can create issues. However, advocates of the hybrid cloud feel like it’s the Goldilocks of data infrastructure, providing IT teams with the “just right” fit for their data needs and one that enables a business to scale its infrastructure to meet business demands.</p> <h3 class="wp-block-heading"><strong>The Best of Both Worlds?</strong> Strategies for Multi-Cloud</h3> <p>As with all IT decisions, defining clear objectives and aligning metrics to specific business outcomes is critical. Which applications provide the greatest benefit when moved to the cloud? How do we integrate the landscape of applications across the enterprise? And perhaps most importantly, how do we ensure our data security? Without a robust security design and operating model, a hybrid cloud environment exposes the cloud to new threats, and many public cloud providers have made it very clear that securing <a href="https://www.cpomagazine.com/cyber-security/are-you-aware-of-the-shared-responsibility-model-the-saas-data-loss-risk-you-might-not-know-youre-taking/">your data is primarily your responsibility</a>.</p> <p>For those considering embarking on a hybrid cloud journey, here are three strategies to keep in mind:</p> <h4 class="wp-block-heading"><strong>1. Invest in Data Resilience & Recovery </strong></h4> <p>Data resilience ensures that data remains available and intact despite disruptions (like hardware failure, network demand surges, or natural disasters), while data recovery is necessary to restore data in case of data loss or corruption. Both are critical components of any data security strategy, and hybrid clouds offer a way to hedge your bets on potential disaster scenarios – a combination of on-prem and public cloud mitigates physical risks like water or fire damage. This underscores the importance of analyzing, understanding, and having a complete picture of your data and what makes most sense in terms of where it resides, before making any moves.</p> <p>You’ll never be 100% protected from threats to your data, but you can be prepared to respond when they appear. By clearly defining your backup/recovery and DR policies and creating redundancies for data that’s on-prem and in the cloud, you’re building resiliency for if/when the worst happens.</p> <h4 class="wp-block-heading"><strong>2. Make Cost Management a Key to Success</strong></h4> <p>Managing costs and monitoring performance for one cloud can be complicated, but it gets even trickier when different services, workloads, and data are spread across different environments. Effective cost management strategies help companies control expenses, optimize resource utilization, and make informed decisions about their hybrid cloud investments. </p> <p>The hybrid cloud is chosen to optimize performance, security, and cost, but you must be able to measure and manage your costs to ensure the benefits that were planned are being recognized. Be sure to define the location and expected benefits for each application and associated data. Then, measure the results across all clouds and on-prem to adjust as necessary. This is where partnering with a managed service provider is worthwhile and why multi-cloud <a href="https://www.intel.com/content/www/us/en/cloud-computing/finops.html#:~:text=What%20Is%20FinOps%3F,hard%20to%20predict%20or%20control.">FinOps</a> (cloud financial management) is such an important discipline.</p> <h4 class="wp-block-heading"><strong>3. Embrace Cloud Automation </strong></h4> <p>Automation gets a bad rap when conflated with replacing human jobs, but the reality is that for many tasks, automation frees up resources, allows teams to be more efficient, and enables compliance. For example, an organization can ensure its cloud infrastructure meets security needs, corporate governance, and regulatory requirements during its creation. </p> <p>Cloud automation can also enable IT self-service portals where authorized users can troubleshoot issues or request resources without burdening the IT team. According to <a href="https://blog.thedigitalgroup.com/infographics-blog-on-interesting-facts-about-employee-self-service">The Digital Group</a>, employee IT self-service improves productivity by 44% and enhances security by preventing avoidable human errors. </p> <h3 class="wp-block-heading"><strong>The Hybrid Cloud Forecast</strong></h3> <p>The future of hybrid cloud infrastructure will likely be characterized by increased integration, flexibility, and sophistication. IT leaders need to have an honest conversation about whether they will fully transition to a public cloud deployment, have a cloud-first policy, or embrace a long-term hybrid cloud approach to optimize based on the application and data requirements. </p> <p>The pace of innovation seems to accelerate each week, and companies will need to stay agile if they hope to benefit from emerging technologies. Taking steps now to modernize your infrastructure is an important precursor for accelerating digital transformation. The hybrid cloud enables businesses to adapt to these evolving needs, optimize resources, and maintain control over sensitive data, making it a vital strategy for staying competitive in today’s digital landscape. With the right strategies <a href="https://www.clouddatainsights.com/why-people-choose-public-private-hybrid-or-multi-cloud-solutions/">for multi-cloud</a>, companies can finally create the right solution for their needs.</p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img loading="lazy" decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/10/Nitha-Puthran.jpeg" width="100" height="100" alt="" itemprop="image"></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/nitha-puthran/" class="vcard author" rel="author"><span class="fn">Nitha Puthran</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p><strong><a href="https://www.linkedin.com/in/nitha-puthran-0b8375/">Nitha Puthran</a></strong> is Senior Vice President, responsible for the Cloud, Infrastructure & Security service lines at <strong><a href="https://www.persistent.com/">Persistent Systems</a></strong>. Nitha has close to two decades of demonstrated success spanning core infrastructure and cloud services, managed data center services and digital transformation. She has been instrumental in leading and implementing complex non-linear initiatives for key clients focused on reducing cost of operations and providing excellent client experience. She is responsible for driving key CXO level business relationships and advisory for Persistent’s clients. Prior to Persistent, Nitha led the Global Infrastructure and Cloud business for BFSI vertical at Wipro. Subsequent to her role at Wipro, Nitha worked at Avanade as a Managed Services Business Executive helping them in transforming engagement models. Nitha has a bachelor’s in Engineering from the University of Mumbai.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/cloud-control-effective-strategies-for-navigating-the-multi-cloud-era/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">4879</post-id> </item> <item> <title>Why People Choose Public, Private, Hybrid, or Multi-Cloud Solutions</title> <link>https://www.clouddatainsights.com/why-people-choose-public-private-hybrid-or-multi-cloud-solutions/</link> <comments>https://www.clouddatainsights.com/why-people-choose-public-private-hybrid-or-multi-cloud-solutions/#respond</comments> <dc:creator><![CDATA[Elizabeth Wallace]]></dc:creator> <pubDate>Thu, 02 Nov 2023 23:04:20 +0000</pubDate> <category><![CDATA[Cloud Data Platforms]]></category> <category><![CDATA[hybrid cloud]]></category> <category><![CDATA[multi-cloud]]></category> <category><![CDATA[private cloud]]></category> <category><![CDATA[public cloud]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=4278</guid> <description><![CDATA[Find out what new statistics say about why organizations are choosing public, private, hybrid, or multi-cloud infrastructure.]]></description> <content:encoded><![CDATA[<div class="wp-block-image"> <figure class="aligncenter size-full"><img loading="lazy" decoding="async" width="1000" height="486" src="https://www.clouddatainsights.com/wp-content/uploads/2023/08/Depositphotos_543891130_S.jpg" alt="" class="wp-image-4279" srcset="https://www.clouddatainsights.com/wp-content/uploads/2023/08/Depositphotos_543891130_S.jpg 1000w, https://www.clouddatainsights.com/wp-content/uploads/2023/08/Depositphotos_543891130_S-300x146.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2023/08/Depositphotos_543891130_S-768x373.jpg 768w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption class="wp-element-caption"><em>A new list of statistics reveals motivations and goals behind many cloud decisions.</em></figcaption></figure></div> <p>An incredibly comprehensive literature review from <a href="https://techreport.com/statistics/cloud-computing-statistics/" target="_blank" rel="noreferrer noopener">Tech Report</a> has outlined the state of the cloud — over 150 statistics covering the present and future of the cloud. We know that cloud has become one of the most ubiquitous tools in just about any organization. Seeing current trends outlined like this puts it all in perspective.</p> <p>For example, by 2025, 85% of firms are forecasted to adopt a “cloud-first” strategy, and a majority of 51% of IT expenditures will transition from traditional tools to their cloud counterparts. The massive pivot to the cloud isn’t solely about adoption; it’s about innovation. A significant percentage (75%) of tech leaders report that all new products and services are now being crafted in the ethereal confines of the cloud. How are companies handling the decision of what type of cloud to use for that innovation? Let’s delve deeper into the unique attributes and implications of public, private, hybrid, and multi-cloud models based on the gathered statistics.</p> <h3 class="wp-block-heading">Public Cloud: Economies of Scale and Diverse Adoption</h3> <p>The public cloud has garnered significant attention and investment in recent years. With anticipated end-user spending nearing $600 billion in 2023, this model offers unparalleled economies of scale, ensuring cost-efficiency for its users. The astounding $120 billion invested in infrastructure in 2022 stands testimony to the robustness and reliability the leading public cloud providers offer. </p> <p>Moreover, with businesses setting aside 50% of their workloads to run on public clouds and using an average of 2.2 platforms, it’s evident that diversification within the public cloud environment is a growing trend. A resounding 96% of businesses have placed their faith in at least one public cloud service, highlighting a significant amount of trust in its dependability. This is apparent even across sectors. From retail and e-commerce at 79% adoption to media at 73% and software organizations at 72%, the extensive sectoral uptake underscores the versatility and universal appeal of the public cloud. </p> <p>AWS, Microsoft Azure, and Google Cloud Platforms emerge as the leading trinity, an unsurprising domination of the public cloud market. However, despite its many advantages, its shared resource environment can sometimes raise security concerns. Additionally, its standardized nature might restrict bespoke modifications needed by individual businesses or highly specialized sectors.</p> <p>See also: <a href="https://www.clouddatainsights.com/public-cloud-growth-set-to-explode/" target="_blank" rel="noreferrer noopener">Public Cloud Growth Set to Explode</a></p> <h3 class="wp-block-heading">Private Cloud: The Epitome of Exclusivity and Enhanced Security</h3> <p>Unlike public clouds, private clouds offer exclusive access to cloud resources not shared by any other organization. Their unique proposition is the enhanced privacy, security, and customization they bring to the table, especially for businesses dealing with sensitive data. </p> <p>The predicted rapid revenue growth to $528.36 billion by 2029 reflects an increasing interest in the adoption of private clouds. A substantial 84% of businesses employ at least one private cloud in their operations, with 32% of workloads typically performed in these environments. Microsoft Azure Stack, AWS Outposts, and VMware vSphere/vCenter lead the private cloud market, with adoption rates of 58%, 52%, and 54% respectively. </p> <p>The private cloud’s particular appeal in the telecoms industry, with a 64% adoption rate, is noteworthy. However, the trade-offs include a possibly heftier initial investment and the need for robust IT teams for management, something that might present a barrier to smaller organizations.</p> <p>See also: <a href="https://www.rtinsights.com/move-over-hybrid-and-multicloud-here-come-autonomous-cross-cloud-services/" target="_blank" rel="noreferrer noopener">Move Over Hybrid and Multi-Cloud: Here Come Autonomous Cross-Cloud Services</a></p> <h3 class="wp-block-heading">Hybrid Cloud: Marrying Scalability with Security</h3> <p>Companies are increasingly viewing Hybrid cloud solutions as the middle ground, providing the best of both public and private clouds. Their core strength lies in offering the security of private clouds while tapping into the scalability of public ones. Notably, 80% of businesses have chosen to employ multiple public clouds, and 60% claim to use numerous private clouds. </p> <p>The fact that a hybrid cloud strategy delivers 2.5 times more commercial value according to the latest statistics is a testament to its efficacy. Larger corporations, especially those with revenues exceeding $500 million, are particularly drawn to the hybrid model, with 56% having adopted it. An impressive 70% of IT leaders believe in the indispensability of a robust hybrid cloud strategy for realizing the promise of a full digital transformation. </p> <p>But, like all models, it’s not devoid of challenges. Striking the right balance and ensuring seamless integration between private and public components often demand intricate planning and specialized expertise.</p> <p>See also: <a href="https://www.clouddatainsights.com/is-hybrid-cloud-the-way-to-deal-with-public-cloud-costs/" target="_blank" rel="noreferrer noopener">Is Hybrid Cloud the Way to Deal With Public Cloud Costs?</a></p> <h3 class="wp-block-heading">Multi-Cloud: Diversification and Flexibility at its Peak</h3> <p>A multi-cloud strategy is centered on flexibility and risk diversification. According to the gathered statistics, a staggering 98% of businesses engaged with at least two cloud infrastructure providers and ambitious plans by 31% plan to incorporate four or more. It’s clear that multi-cloud is not just a fleeting trend but a fundamental strategy. </p> <p>The key driving factors include durability, technological change, flexibility, and governance and security. By the middle of 2023, it’s predicted that 8 out of 10 businesses will have embraced multi-cloud solutions. Yet, for all its merits, businesses often grapple with finding skilled professionals adept at managing these diverse environments. Skill shortages affect 40% of multi-cloud operations, with siloed teams and training gaps being additional concerns.</p> <p>See also: <a href="https://www.clouddatainsights.com/new-multi-cloud-study-answers-how-did-we-get-here/" target="_blank" rel="noreferrer noopener">New Multi-Cloud Study Answers: How Did We Get Here?</a></p> <h3 class="wp-block-heading">Navigating the Cloudscape: Making an Informed Decision</h3> <p>The coming years include big cloud plans from many organizations. Deciding between these cloud strategies involves a careful evaluation of a company’s needs, goals, and resources.</p> <ul class="nv-cv-d nv-cv-m wp-block-list"> <li><strong>Data Sensitivity</strong>: If your organization handles highly sensitive data, a private cloud might be more fitting. On the other hand, less critical workloads can reside on the public cloud, with hybrid solutions bridging the two.</li> <li><strong>Cost Considerations</strong>: Public clouds are often more affordable due to shared resources, while private clouds entail higher upfront costs. However, hybrid and multi-cloud strategies, when optimized, can strike a balance between cost-efficiency and bespoke needs.</li> <li><strong>Scalability Needs</strong>: If rapid scalability in response to fluctuating demand is crucial, public clouds are ideal. Meanwhile, steady, predictable workloads might find a home in private clouds.</li> <li><strong>Vendor Dependencies</strong>: Multi-cloud strategies allow businesses to diversify their vendor interactions, minimizing the risks of vendor lock-ins and leveraging best-of-breed solutions.</li> <li><strong>Resource Availability</strong>: Consider the expertise and resources available. While public clouds require minimal management, private clouds demand dedicated IT teams. Hybrid and multi-clouds, being more complex, necessitate a blend of skills.</li> <li><strong>Future-Proofing</strong>: Always factor in future growth and potential pivots. The flexibility of hybrid and multi-cloud solutions makes them suitable for businesses anticipating significant evolution.</li> </ul> <h3 class="wp-block-heading">Embracing the Future of the Cloud</h3> <p>It appears from the latest statistics that the cloud is not just a trend—it’s the future. The millions of cloud infrastructure adopters globally and the persistent plans of businesses to ramp up cloud investments, even in times of economic turbulence, are testaments to this fact. The cloud era isn’t just arriving; it’s already here, rewriting the rules of business, technology, and innovation. As enterprises give top priority to creating cloud-native applications and strategies, the onus is on us to adapt, evolve, and soar into this limitless digital expanse.</p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img loading="lazy" decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/05/Elizabeth-Wallace-RTInsights-141x150-1.jpg" width="100" height="100" alt="" itemprop="image"></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/elizabeth-wallace/" class="vcard author" rel="author"><span class="fn">Elizabeth Wallace</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p>Elizabeth Wallace is a Nashville-based freelance writer with a soft spot for data science and AI and a background in linguistics. She spent 13 years teaching language in higher ed and now helps startups and other organizations explain – clearly – what it is they do.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/why-people-choose-public-private-hybrid-or-multi-cloud-solutions/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">4278</post-id> </item> <item> <title>How Cloud Bursting Might Rescue Mainstream Operations</title> <link>https://www.clouddatainsights.com/how-cloud-bursting-might-rescue-mainstream-operations/</link> <comments>https://www.clouddatainsights.com/how-cloud-bursting-might-rescue-mainstream-operations/#respond</comments> <dc:creator><![CDATA[Elizabeth Wallace]]></dc:creator> <pubDate>Fri, 21 Jul 2023 16:17:26 +0000</pubDate> <category><![CDATA[Integration]]></category> <category><![CDATA[cloud bursting]]></category> <category><![CDATA[Cloud strategy]]></category> <category><![CDATA[hybrid cloud]]></category> <category><![CDATA[public cloud]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=3390</guid> <description><![CDATA[Cloud bursting can provide flexibility for companies to scale operations during times of peak processing. Find out how it works.]]></description> <content:encoded><![CDATA[<div class="wp-block-image"> <figure class="aligncenter size-full is-resized"><img loading="lazy" decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2023/06/Depositphotos_10952083_S.jpg" alt="" class="wp-image-3391" width="749" height="497" srcset="https://www.clouddatainsights.com/wp-content/uploads/2023/06/Depositphotos_10952083_S.jpg 999w, https://www.clouddatainsights.com/wp-content/uploads/2023/06/Depositphotos_10952083_S-300x199.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2023/06/Depositphotos_10952083_S-768x509.jpg 768w" sizes="(max-width: 749px) 100vw, 749px" /><figcaption class="wp-element-caption"><em>Cloud bursting allows companies to “overflow” processing from on-premises to the cloud during peak events.</em></figcaption></figure></div> <p>Imagine an online retail store preparing for its biggest sales event of the year. The IT team knows they’ll encounter an immense surge in website traffic and transactions, and their existing infrastructure won’t be sufficient to handle the load. But they have a secret weapon: cloud bursting. As the event kicks off, the website experiences an unprecedented influx of visitors. Without skipping a beat, the IT team seamlessly scales their on-premises resources to the cloud, harnessing the power of elastic compute and storage capabilities. The website remains responsive, offering customers a smooth and delightful shopping experience. As the event ends, the workload seamlessly scales back down, leaving the IT team satisfied with their ability to handle the unexpected workload surge. </p> <p>See also: <a href="https://www.clouddatainsights.com/how-understanding-our-kubernetes-cloud-costs-enabled-us-to-scale/" target="_blank" rel="noreferrer noopener">How Understanding Our Kubernetes Cloud Costs Enabled Us to Scale</a></p> <p>Now replace the retail scenario with the media and streaming industry and a major live streaming event. Imagine the energy and utilities sector during a major weather event such as a heatwave or financial services during a global economic crisis. In each scenario, organizations leverage cloud bursting to optimize costs by only paying for additional resources during peak periods while ensuring enhanced performance and resilience. Let’s dive into the concept of cloud bursting, explore its benefits and challenges, and provide practical insights for IT practitioners to leverage this technology effectively.</p> <h3 class="wp-block-heading">Understanding cloud bursting</h3> <p>Cloud bursting has emerged as a powerful solution, enabling businesses to seamlessly scale their computing resources from on-premises infrastructure to the cloud. Companies can dynamically expand computing resources by extending on-premises infrastructure to the cloud during peak demand. When workloads increase, companies have an “overflow” bucket to ensure optimum performance but can quickly scale back once the peak period is over to avoid wasting resources.</p> <p>Key components for successful cloud bursting are: </p> <ul class="nv-cv-d nv-cv-m wp-block-list"> <li><strong>Workload monitoring</strong>: Track resource utilization and identify peak demand periods.</li> <li><strong>Auto-scaling policies</strong>: Automate provisioning and deprovisioning of cloud resources based on predefined thresholds.</li> <li><strong>Data synchronization</strong>: Ensure consistent data access and minimize latency when bursting.</li> <li><strong><a href="https://www.clouddatainsights.com/for-a-strategic-cloud-consider-the-network/">Networking considerations</a>:</strong> Establish secure and efficient communication channels between on-premises infrastructure and the cloud environment.</li> </ul> <h3 class="wp-block-heading">Benefits of cloud bursting and one big surprise</h3> <ul class="nv-cv-d nv-cv-m wp-block-list"> <li><strong>Scalability and Flexibility:</strong> Handling sudden workload surges without permanent infrastructure expansions, ensuring cost-effective scalability and operational flexibility.</li> <li><strong>Enhanced Performance</strong>: Leveraging the elastic resources of the cloud during peak demand, improving application performance and user experience by reducing response times, increasing system throughput, and efficiently distributing workloads.</li> <li><a href="https://www.clouddatainsights.com/balancing-cost-optimization-with-innovation-and-growth-of-enterprise-data/"><strong>Cost Optimization</strong></a>: Enabling cost savings by avoiding over-provisioning expenses, i.e., paying for additional resources when needed and aligning infrastructure costs with actual workload demands.</li> </ul> <p>Surprisingly, many IT practitioners may not be aware that cloud bursting is not limited to scaling only to public cloud environments. While the common perception is that cloud bursting involves expanding resources to a public cloud provider, it can also involve scaling to a private cloud or even a different on-premises infrastructure.</p> <p>This concept, known as reverse cloud bursting or reverse-bursting, enables organizations to dynamically redirect workload from a public cloud back to their private infrastructure or a secondary on-premises data center when specific conditions are met. This flexibility allows organizations to optimize costs, maintain data sovereignty, or address compliance requirements while benefiting from the elasticity of cloud bursting.</p> <h3 class="wp-block-heading">Reverse cloud bursting offers several advantages, including:</h3> <ol class="nv-cv-d nv-cv-m wp-block-list"> <li><strong>Data Localization and Compliance</strong>: In industries with strict data governance regulations or where data sovereignty is critical, reverse cloud bursting gives organizations more control over their data by bringing it back in-house or to a compliant, private infrastructure.</li> <li><strong>Enhanced Performance and Latency</strong>: In certain scenarios where low latency is essential, such as real-time data processing or high-frequency trading, reverse cloud bursting allows organizations to keep their workloads closer to their data sources, reducing network latency and improving overall application performance.</li> <li><strong>Hybrid Cloud Flexibility</strong>: Reverse cloud bursting complements the <a href="https://www.clouddatainsights.com/workloads-everywhere-hybrid-cloud-is-here/">hybrid cloud</a> strategy by providing additional options for workload distribution across different infrastructure environments. It allows organizations to leverage the strengths of both public and private cloud environments, optimizing resource utilization and maintaining a flexible and scalable infrastructure.</li> </ol> <p>By understanding the potential of reverse cloud bursting, IT practitioners can expand their options for workload management and explore innovative ways to optimize their infrastructure, address compliance requirements, and achieve a balance between cost, performance, and data control.</p> <h3 class="wp-block-heading">Challenges and considerations</h3> <p>One potential negative surprise for IT practitioners exploring cloud bursting is the complexity and potential challenges associated with implementing and managing the technology effectively. While cloud bursting offers numerous benefits, certain considerations can catch organizations off guard:</p> <ul class="nv-cv-d nv-cv-m wp-block-list"> <li><strong>Workload Burst Detection</strong>: Accurately detecting workload bursts is crucial for effective resource scaling. Strategies include utilizing monitoring tools, analyzing historical data, and employing machine learning algorithms to identify patterns and trigger cloud bursting. This can be a considerable challenge requiring advanced monitoring and analysis techniques.</li> <li><strong>Data Consistency and Latency</strong>: Data synchronization and network optimization may present technical challenges and require careful planning and configuration. Robust data synchronization mechanisms are needed to maintain consistent access to data across on-premises and cloud environments. Optimizing network connectivity between environments helps reduce latency and improve overall system performance.</li> <li><strong>Application Compatibility</strong>: Some applications may not be designed to scale seamlessly across different infrastructure environments. Certain legacy applications or those tightly coupled with specific on-premises systems may require modifications or redesign to leverage cloud bursting capabilities fully. The need for application refactoring or redesign can introduce additional complexities and potential disruptions to the overall ecosystem.</li> <li><strong>Operational Complexity</strong>: Managing a hybrid infrastructure that involves on-premises resources and multiple cloud providers can be operationally complex. IT practitioners must navigate different management interfaces, monitoring tools, and orchestration frameworks to ensure consistent visibility and control across the hybrid environment. Training and expertise may be required to handle the intricacies of managing and troubleshooting a hybrid infrastructure effectively.</li> <li><strong>Security</strong>: Cloud bursting introduces security implications that need to be addressed. Organizations must implement robust data protection measures to secure data during transit and storage in the cloud. Employing identity and access management practices ensures proper authorization and authentication.</li> <li><strong>Compliance</strong>: Compliance with industry regulations and a comprehensive security posture across hybrid environments are vital for data privacy and protection. Ensuring security and compliance in a hybrid environment can be complex, requiring a deep understanding of relevant regulations and best practices.</li> </ul> <h3 class="wp-block-heading">Cloud bursting best practices</h3> <p>There are three key components to managing a successful cloud-bursting strategy.</p> <h4 class="wp-block-heading">1. Workload Analysis and Planning</h4> <p>Performing a thorough workload analysis is vital to identify suitable workloads for cloud bursting. Consider factors such as resource requirements, performance thresholds, and data sensitivity to determine which workloads can benefit most from cloud bursting.</p> <h4 class="wp-block-heading">2. Hybrid Architecture Design</h4> <p>Building a robust hybrid infrastructure is crucial for seamless cloud bursting. Considerations include establishing reliable network connectivity, implementing efficient data synchronization mechanisms, and incorporating disaster recovery mechanisms to ensure high availability and data integrity across environments.</p> <h4 class="wp-block-heading">3. Automation and Orchestration</h4> <p><a href="https://www.clouddatainsights.com/the-technology-behind-and-benefits-of-data-pipeline-automation/">Automation</a> and orchestration tools are pivotal in managing cloud-bursting operations efficiently. Leveraging these tools enables dynamic scaling, automates resource provisioning, and ensures smooth transitions between on-premises and cloud environments.</p> <h3 class="wp-block-heading">Mastering unpredictability for smoother operations</h3> <p>Much like our hypothetical retail company in the introduction or any of our other examples, companies can create flexible processing options for unpredictable demand through a cloud-bursting strategy. Understanding the nuances and best practices of cloud bursting is crucial for successfully navigating the dynamic landscape of modern infrastructure. Implementing cloud bursting can empower businesses to seamlessly scale their operations and confidently tackle the challenges posed by unpredictable workload fluctuations, thereby gaining a competitive edge in today’s digital realm.</p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img loading="lazy" decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/05/Elizabeth-Wallace-RTInsights-141x150-1.jpg" width="100" height="100" alt="" itemprop="image"></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/elizabeth-wallace/" class="vcard author" rel="author"><span class="fn">Elizabeth Wallace</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p>Elizabeth Wallace is a Nashville-based freelance writer with a soft spot for data science and AI and a background in linguistics. She spent 13 years teaching language in higher ed and now helps startups and other organizations explain – clearly – what it is they do.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/how-cloud-bursting-might-rescue-mainstream-operations/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">3390</post-id> </item> <item> <title>Is Hybrid Cloud the Way to Deal with Public Cloud Costs?</title> <link>https://www.clouddatainsights.com/is-hybrid-cloud-the-way-to-deal-with-public-cloud-costs/</link> <comments>https://www.clouddatainsights.com/is-hybrid-cloud-the-way-to-deal-with-public-cloud-costs/#respond</comments> <dc:creator><![CDATA[David Curry]]></dc:creator> <pubDate>Fri, 23 Dec 2022 15:54:33 +0000</pubDate> <category><![CDATA[Cloud Strategy]]></category> <category><![CDATA[cloud costs]]></category> <category><![CDATA[hybrid cloud]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=2129</guid> <description><![CDATA[A hybrid approach maintains the values of both on-premises and public cloud, and enables businesses to make cost effective decisions. ]]></description> <content:encoded><![CDATA[<div class="wp-block-image"> <figure class="aligncenter size-full is-resized"><img loading="lazy" decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/12/Hybrid-Depositphotos_111665314_S.jpg" alt="" class="wp-image-2131" width="750" height="500" srcset="https://www.clouddatainsights.com/wp-content/uploads/2022/12/Hybrid-Depositphotos_111665314_S.jpg 1000w, https://www.clouddatainsights.com/wp-content/uploads/2022/12/Hybrid-Depositphotos_111665314_S-300x200.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2022/12/Hybrid-Depositphotos_111665314_S-768x512.jpg 768w, https://www.clouddatainsights.com/wp-content/uploads/2022/12/Hybrid-Depositphotos_111665314_S-930x620.jpg 930w" sizes="(max-width: 750px) 100vw, 750px" /><figcaption class="wp-element-caption"><em>A hybrid approach maintains the values of both on-premises and public cloud, and enables businesses to make cost effective decisions.</em></figcaption></figure></div> <p>The public cloud has enabled small businesses to gain access to the same storage and compute resources which were previously only available to the largest companies on the planet. However, the value proposition for medium and large enterprises is coming under attack, with a few high-profile businesses publishing criticisms of public cloud services costs.</p> <p>David Heinemeier Hansson, programmer of Ruby on Rails and partner at Basecamp, published <a href="https://world.hey.com/dhh/why-we-re-leaving-the-cloud-654b47e0" target="_blank" rel="noreferrer noopener">a blog</a> recently in which he discussed the reasons for Basecamp leaving the public cloud. In it, Hansson came to the conclusion that “renting computers is (mostly) a bad deal for medium-sized companies like ours with stable growth.”</p> <p>Hansson goes on to reference that the cloud has been of enormous value to Basecamp at times, most recently when it launched its email service Hey. The original estimate was that the email service would have 30,000 users, but within three weeks it had 300,000 sign-ups, and needed the cloud to manage the unexpected load. </p> <p>This was one of the two instances where Hansson sees value in the public cloud: irregular traffic and when there is not enough traffic. Both instances are often a factor with startups, which do not have a lot of users or have a unique selling point that is time or location dependent, like the new social app BeReal, which gets every user to upload a photo at the exact same time. </p> <p><strong>See also:</strong> <a href="https://www.clouddatainsights.com/are-cloud-costs-and-sprawl-casting-a-shadow-how-finops-can-help/" target="_blank" rel="noreferrer noopener">Are Cloud Costs and Sprawl Casting a Shadow? How FinOps Can Help</a></p> <p>Hansson discloses in the blog that Basecamp is spending half a million dollars on public cloud costs, and argues that for that price, the company could acquire a huge amount of computational resources. He also rejects the argument that management of the machines will cost more than public cloud fees, and claims suggestions of cost effectiveness and simplicity have not materialized. </p> <p>It is not the first argument against public cloud, but it does demonstrate a growing consideration amongst businesses that have moved their resources onto the cloud, or have scaled their startup with public cloud resources. Once a business has scaled to a level where it can build its own storage and compute resources, does the public cloud make sense? </p> <p><strong>See also:</strong> <a href="https://www.clouddatainsights.com/visibility-into-costs-critical-for-cloud-migration-success/" target="_blank" rel="noreferrer noopener">Visibility into Costs Critical for Cloud Migration Success</a></p> <p>In many instances, once a business gets to that level it does not need to be one or the other. Many businesses operate some of their services on the public cloud, while other processes are run on-premises. If we look at another popular social app, Snapchat, it uses public cloud to balance out any spikes in traffic while having its own servers for data storage and analytics. </p> <p>For organizations moving from fully on-premises, it is highly unlikely that all storage and compute solutions will be run on the cloud. A hybrid approach maintains the values of both on-premises and public cloud, and enables businesses to make cost effective decisions. </p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img loading="lazy" decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/05/curry-150x150-1.webp" width="100" height="100" alt="" itemprop="image"></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/david-curry/" class="vcard author" rel="author"><span class="fn">David Curry</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><div class="author-info"> <div class="author-description"> <p>David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.</p> </div> </div> <div class="clear"> <article id="post-47305" class="entry-grid first-grid post-47305 post type-post status-publish format-standard has-post-thumbnail hentry category-aiops tag-aiops tag-observability"> <div class="post-thumb"></div> </article> </div> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/is-hybrid-cloud-the-way-to-deal-with-public-cloud-costs/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">2129</post-id> </item> </channel> </rss>