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April 19.2025
3 Minutes Read

How AI is Transforming Data Center Power and Cooling Solutions

Presenter discussing AI Data Center Power and Cooling Solutions.

Transforming Data Centers: The AI Revolution

The landscape of data centers is undergoing a radical transformation thanks to artificial intelligence, impacting how power and cooling are managed. At the forefront of these discussions was Vlad Galabov, Omdia's Research Director for Digital Infrastructure, who spoke at Data Center World 2025. He predicts that by 2030, AI will account for over 50% of global data center capacity and dominate more than 70% of revenue opportunities.

The Burgeoning Demand for Power

As industries across the globe increasingly adopt AI technologies, the demand for power within data centers is soaring. Galabov emphasized this surge, noting that since late 2023, the installed capacity for power in data centers worldwide has gone from under 150 GW to nearly 400 GW expected by 2030.

At the center of this growing capacity is a paradigm shift towards higher rack densities. The next generation of design, targeting 120 kW per rack with aspirations for 600 kW racks, reflects the aggressive trajectory that data centers are navigating. Each year, approximately 50 GW of new data center capacity is projected to be added, suggesting that half a terawatt will soon become standard.

The Financial Surge in CAPEX Investments

Accompanying the increase in power demands are monumental shifts in capital expenditures (CAPEX) related to the physical infrastructure of data centers. By 2030, global CAPEX for data centers is projected to skyrocket to $1 trillion, contrasting sharply with figures around $500 billion at the end of 2024. The most substantial gains will occur within infrastructure investments, particularly in power and cooling systems, slated to grow at an impressive rate of 18% per annum.

According to Galabov, these investments are crucial as compute and rack densities escalate. The future of data centers may veer away from a scalable server approach towards fewer systems with heightened capabilities, making it essential for operators to stay innovative amidst the ongoing advancements in AI technologies.

Cooling Innovations: A New Frontier

As power demands rise, conventional methods of cooling are nearing their absolute limits. Omdia's Principal Analyst Shen Wang spoke about the cooling implications of this AI-driven power surge. Air cooling, which has been a staple for data center operations, can only support up to 80 Watts per cm². Beyond this threshold, innovations like single-phase direct-to-chip (DtC) cooling are emerging as the best solutions.

This method involves employing water or cooling fluids directly on chips to efficiently dissipate heat, potentially allowing heat management of up to 140 W/cm². Wang anticipates that by 2026, the latest rack designs will surpass the capabilities of existing air cooling methods, further challenging data center operators to adapt and innovate.

Challenges on the Horizon

Despite the optimistic projections, the rise of AI in the data center industry is not without challenges. Galabov cautioned that while many new developments thrive, not all will succeed. Some startups and data center campuses may struggle to establish sustainable business models, especially if they lack technical expertise and strategic acumen.

Galabov's insights serve as a warning for investors: diversification among providers is crucial, as the fast-paced evolution of technology may lead to failures among less prepared competitors.

Looking Ahead: What Does This Mean for Future Developments?

As we gaze into the future of data centers enhanced by AI, one can’t help but ponder the broader implications of these changes. With self-generated data center power set to exceed 35 GW by 2030, dependency on local grids will lessen. Off-grid and behind-the-meter solutions will likely become indispensable for the upcoming generation of data centers.

The integration of AI into operations can foster agility within DevOps teams, enhancing responsiveness and efficiency across all facets of data management. Providing actionable insights to monitor and optimize energy consumption aligns closely with Agile DevOps methodologies, ensuring that energy strategies evolve as quickly as the technologies that require them.

Conclusion: Making Sense of the AI Surge in Data Centers

The sweeping changes in data center management driven by AI offer a clear path toward enhanced efficiency, but they also introduce a host of complexities. For anyone invested in the future of technology infrastructure—whether as an operator, developer, investor, or technologist—the message is clear: engage deeply with the emerging trends, and prepare to adapt to an environment where innovations in power and cooling are no longer options but necessities.

Agile-DevOps Synergy

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02.05.2026

Rising Focus on API Security Testing: What DevOps Teams Need to Know

Update Why Software Security Testing Is Becoming Essential in DevOps In recent years, the landscape of software development has seen a monumental shift towards Agile methodologies, enhancing the speed and efficiency of application deployment. However, this rapid evolution has also ushered in significant security concerns, particularly surrounding software security testing and API security. A recent survey reveals that businesses are increasingly prioritizing these areas, reflecting a growing awareness of the vulnerabilities associated with fast-paced software development cycles. The Rise of APIs and Associated Security Risks APIs—or Application Programming Interfaces—act as essential connectors within various applications, enabling seamless communication between different services. Their integration has expanded dramatically, with reports indicating that 13% of organizations manage over 2500 APIs. This proliferation introduces complex security challenges due to the diverse types of APIs deployed—Open, Public, and Private APIs each necessitate unique security considerations. As organizations explore more extensive automation and digital transformation, they are also facing a related increase in security incidents. According to a survey by Traceable, a staggering 78% of cybersecurity professionals reported encountering an API-related security incident in the past year alone. Given that breaches can lead to substantial financial losses and reputational damage, it becomes crucial for companies to embed sophisticated security practices as part of their DevOps processes. The Shift Toward DevSecOps As awareness of API vulnerabilities grows, organizations are embracing a cultural shift towards DevSecOps, which integrates security at every stage of the development lifecycle. This proactive approach is pertinent as traditional security measures, such as firewalls or API gateways, often fail to address the nuanced vulnerabilities inherent in modern API ecosystems. Inadequate protection by existing security infrastructures presents a significant risk, considering that 52% of organizations lack comprehensive visibility into which APIs return sensitive data. Organizations are now grappling with the challenge of developing a security posture that not only identifies potential threats but also responds dynamically to emergent vulnerabilities. Understanding the Current API Security Landscape The important takeaway from recent findings highlights that API security is no longer merely a technical threat; it's a business-critical concern. With a majority of companies relying on third-party integrations, a breach in any part of the interconnected system can lead to a domino effect, compromising all linked services. Thus, enhancing API security translates into safeguarding consumer trust and ensuring uninterrupted service delivery. Instead of relying solely on older defenses, like legacy security solutions, organizations need to invest in more adaptive security frameworks. According to insights from The Hacker News, many companies are recognizing the limitations of existing infrastructure and are looking for context-aware security solutions that understand not only the technology but also the business processes involved. Practical Steps for Improving Security Posture Organizations must initiate a shift towards a more robust security framework. Here are key actionable insights to guide this transition: Implement Regular Security Testing: It is vital to establish a routine for conducting vulnerability scans and penetration testing focusing specifically on API endpoints. Enhance Visibility Tools: Invest in advanced monitoring solutions that provide detailed insights into API performance, behaviors, and potential misuse patterns. Adopt Agile Development Practices: Incorporate security early in the development process, integrating testing mechanisms with Agile and DevOps workflows. Educate Developers: Provide continuous training on API security best practices to developers. Understanding the implications of security in coding can drastically reduce vulnerabilities. Utilize Automated Security Solutions: Employ tools capable of continuous monitoring and automated responses to security threats, thus reinforcing defenses against potential breaches. Future Predictions and Opportunities Looking ahead, the continuous rise of APIs will only increase the demand for heightened security solutions. As organizations lean more into microservices architectures and heavily rely on interconnected systems, prioritizing API security will be essential to sustaining growth and fostering innovation in an increasingly interconnected digital landscape. The future of software development hinges on the understanding that security is not an afterthought but a foundational pillar that supports all aspects of technology integration.

02.05.2026

Microsoft Retires Standalone SharePoint and OneDrive Plans - Transitioning to Microsoft 365

Update Microsoft's Shift: The Future of SharePoint and OneDrive Microsoft is setting the stage for a significant change in how businesses utilize its collaboration tools, announcing the retirement of standalone SharePoint and OneDrive plans. As of June 2026, organizations will no longer be able to purchase these as separate products, with the services winding down by December 2029. This strategic pivot aims to streamline offerings and move users toward the more comprehensive Microsoft 365 bundles, which promise enhanced functionality, integration, and security. Why the Shift Matters The decision stems from several underlying factors. Microsoft reports low customer demand for standalone plans, alongside increased operational costs for maintaining diverse products. As organizations increasingly seek cohesive digital ecosystems, the demand for integrated solutions has grown significantly. Microsoft aims to meet this need by promoting Microsoft 365 as a unified platform that not only encapsulates SharePoint and OneDrive capabilities but also includes powerful AI tools such as Copilot, which are tailored for modern business needs. Planning Your Migration: Essential Steps For businesses impacted by these changes, a proactive approach to migration is crucial. First and foremost, organizations need to clean up existing data, identifying what is necessary to move to the new system and what can be archived or deleted. This tidying process enhances migration efficiency. Next, planning for an organized structure in Microsoft 365 is vital. As customized configurations can lead to complications down the line, it’s essential that organizations properly classify their content – putting private files in OneDrive and shared documents in SharePoint. This step aligns with insights drawn from successful migrations outlined in Practical365, which emphasizes organization and cleanup as crucial pillars. A New Era of Collaboration: What to Expect The transition to a Microsoft 365 environment presents organizations with numerous opportunities to enhance collaboration and productivity. By moving away from standalone tools, businesses can benefit from improved data integration across applications, reducing inefficiencies, and enhancing communication. The integration of tools such as Teams into Microsoft 365 creates a collaborative ecosystem where file sharing, project management, and team interaction flow seamlessly. Maximize Your Migration Strategy with Best Practices Organizations should embrace best practices to ensure a smooth transition. Conducting a pilot migration can uncover potential issues and allow teams to gauge the migration tool’s performance and adjust plans accordingly. As highlighted by Microsoft Learn's migration resources, providing clear timelines and expectations to users leads to less disruption and increased buy-in. Moreover, migrating essential files before moving away from existing systems helps minimize user frustration. What Lies Ahead: Future Predictions for Cloud Collaboration As Microsoft shifts towards a fully integrated cloud experience, companies must adapt quickly. The retirements of SharePoint and OneDrive standalone models reflect a broader trend in technology, where users are increasingly prioritizing solutions that offer collaboration and functionality in a single package. The integration of AI tools in these environments is not merely an enhancement; it is a critical component of future-ready workplaces, promising not just efficiency but also innovative capabilities previously unavailable. The Takeaway: Preparing for Change With these changes on the horizon, organizations must not delay in planning their migration strategy. Mapping out clear steps towards using Microsoft 365 will not only facilitate a smoother transition but also position businesses to leverage the full potential of these powerful tools. Embracing this change can lead to improved collaboration, security, and efficiency. It's time for businesses to take action and evolve alongside these advancements in cloud technology.

02.04.2026

Why the New MCP Support is Transforming DevOps Efficiency

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