Explore practical methods for monitoring ephemeral storage metrics in Kubernetes to ensure efficient resource management and improve overall performance.

This guide breaks down how recording rules can help, with simple tips to improve performance and manage complex data.

I had just opened an old project file, expecting to make a quick fix. But as I started scrolling through the code, my heart sank. What should have been a simple update turned into a maze of cryptic variable names, giant functions, and duplicated logic. I remember thinking, how did it get this messy?

That’s when it hit me—clean code is more than just making things work, it’s about creating code that’s easy to navigate, understand, and maintain. I realized that the problem wasn’t just the complexity of the project, it was the lack of clarity in the way the code was written.

Since then, I’ve embraced the principles of Clean Code, and they’ve completely changed the way I approach development. I now write code with the next developer in mind—even if that next developer is future me.

In my latest blog, I break down the key Clean Code principles I’ve learned over the years, focusing on Python and TypeScript. If you’re looking to write code that’s not only functional but also future-friendly, check it out!

This guide explains the key aspects of the OpenTelemetry Collector, including its features, use cases, and practical tips for managing telemetry data effectively.

This guide shows you how to easily use Jaeger with OpenTelemetry for improved tracing and application monitoring.