Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes clusters facilitate the management of containerized applications. Imagine coordinating a seamless flow of workloads across servers, ensuring they operate in harmony, regardless of scale. This is exactly what Kubernetes clusters can do for the smooth deployment of your applications. Read on to learn more about Kubernetes clusters, including how to manage them using our list of critical metrics.

For most organizations, Kubernetes is the preferred containerization platform thanks to its scaling capabilities. Scaling is more than a mere technical endeavor—it helps maintain reliability, efficiency, and smooth user experiences while handling huge data without any business disruptions. It also aids in reducing business expenditures by cutting down on manual labor and avoiding deployment failures.

MySQL is the backbone of many applications, and keeping it running smoothly is essential. But monitoring MySQL isn’t just about tracking CPU usage or checking if the database is up. It’s about understanding queries, indexing, slow queries, and resource utilization to ensure performance never takes a hit. This guide walks through everything you need to know to monitor MySQL effectively.

When it comes to monitoring Java applications, JMX (Java Management Extensions) plays a pivotal role. If you're looking to optimize your app’s performance, understand its behavior, and troubleshoot issues in real-time, JMX monitoring is a tool you'll want to understand inside and out.

When it comes to Rails development, logging isn’t just about tracking what’s happening in your app. It’s a lifeline for developers, helping you catch bugs, monitor performance, and keep your code running smoothly in production. In this guide, we’ll cover everything from the basics to some cool tips that are often overlooked.

Using a mock server is a popular method of working around these limitations and realities, allowing you to test web server assets against specific requests, ensuring that your response data matches the expected outcome. Today, we’re going to look at a powerful solution for Python clients in the form of MockServer. We’ll walk through the tool’s basics and learn how to use it for your own testing.

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.