Operations | Monitoring | ITSM | DevOps | Cloud

Recently we’ve explored the evolving role of Kubernetes as a full ecosystem, rather than just a platform, diving into the power and complexity of add-ons. These tools, as highlighted previously, are key to augmenting Kubernetes core capabilities, and adding-on (as their name implies) essential capabilities not supported directly by Kubernetes itself.

Artificial intelligence is no longer a futuristic concept—it is shaping how businesses operate, how researchers innovate, and how people interact with technology. Models like DeepSeek-R1 , a promising new entrant, alongside established players such as Llama 3 and GPT-4o, are at the forefront of this transformation. These tools are not just about technological advancement; they are about solving real-world problems and driving meaningful progress.

DevOps is a dynamic field that bridges development and operations, ensuring seamless collaboration and faster software delivery. Whether you're just starting or looking to sharpen your skills, having quick access to essential concepts is invaluable. That’s why we’ve created a DevOps cheat sheet that covers everything from programming fundamentals to scripting and website building. This cheat sheet is your go-to resource for mastering DevOps tools, languages, and workflows.

Testing shouldn’t feel risky. While it might sound counterintuitive, certain types of testing can actually increase risks to your systems. Load testing, for example, is a great way to see how your systems behave under pressure, but it can also cause those same systems to fail if they aren’t equipped to handle the load. For some types of testing, this is necessary, as is the case with reliability testing and Chaos Engineering.

Engineering teams might face the technical hurdle of legacy system dependencies or they might worry about downtime during deployments. This article dives into these challenges and provides strategies to overcome them.

The DevOps Research and Assessment (DORA) report is an annual study that provides data-driven insights into what drives high performance in technology organizations. DORA originated as a team at Google, focused on increasing velocity, performance, and collaboration in DevOps. Drawing on feedback from over 39,000 professionals globally, the 2024 report categorizes the practices and metrics that define high-performing teams in two higher-level groups.