Data centers are the backbone of our increasingly interconnected world. They power everything from streaming services to AI, handling vast amounts of data every second. However, this technological advancement comes at a cost, with energy consumption being a significant concern. In fact, data center energy consumption is forecasted to double by 2026. As we venture further into 2024, it is important to review some of the key trends around energy consumption in data centers.

It’s April 22 and everybody knows today is Earth Day. But do you know how much energy your IT infrastructure is consuming and what that translates to in cost and carbon footprint? As we place more demands on our IT infrastructure to store and manage the reams of data we’re collecting and run advanced analytics and artificial intelligence on that data, we are inevitably consuming more energy in our data centers.

What it means to be “enterprise grade” has changed. In software development, the size of new artifacts and the pace of development has increased dramatically. Developers are now releasing new components daily, if not multiple times a day. With containerization, and now AI/ML models, new pieces of software can be multiple GBs or larger.

Test automation has become an indispensable part of software development, ensuring faster releases, higher quality, and overall cost-effectiveness. However, to reap the full benefits, it’s crucial to implement best practices that maximize efficiency and effectiveness. In this blog post, we’ll delve into some key strategies and tips for achieving optimal results with test automation.

As application platforms grow larger, the idea of DevOps teams where developers support the software development lifecycle, but also manage infrastructure and the platform, is beginning to reach the limits of what these teams can support. Rather than taking their best application developers and making them work on infrastructure problems, more organizations are coming to the conclusion that a centralized platform team specialized in that area is a better use of their developers’ skill sets.

When you save files or install programs, they are often broken up into smaller pieces and scattered across different hard drive sections. This is known as fragmentation. Over time, as you add and delete more files, the hard drive fragments further, resulting in slower performance.

Faster software development cycles means greater reward, and greater risk. Organizations that lose sight of continuous alignment to standards risk delayed launches, higher risk of churn, and higher costs—not to mention unproductive and unhappy developers. Building a strong production readiness review process can help, but existing tools and frameworks haven’t made it easy to keep up to date with the increased velocity at which software is expected to ship.

Virtualization revolutionized computing forever by enabling a more efficient way to utilize hardware resources. It allows a single server to run multiple virtual machines, maximize hardware use, and optimize resource allocations.