Operations | Monitoring | ITSM | DevOps | Cloud

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.

JMX metrics offer a powerful way to monitor and optimize Java application performance. In this blog, we’ll explore the types of JMX metrics you should keep an eye on when to check them, and how they help ensure your applications run smoothly and efficiently.

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.

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.