Operations | Monitoring | ITSM | DevOps | Cloud

When developing software, the longer you intend to keep a system around, the more important it becomes to prioritize its code quality. But as more organizations move toward microservice architectures and adopt agentic AI and LLMs into their development workflows, many engineering teams have increased their emphasis on accelerating developer velocity, often at the expense of code quality. This can often result in code that fails to meet standards for performance, reliability, and security.

The zettabyte era of data is alive and well. Every tool in your tech stack now has some sort of AI functionality, while middleware sprawl and feature wars between vendors become daily battles.

Are you interested in learning about API monitoring? Then you’ve come to the right article. Below, we explain what APIs are and why they’re valuable, explore the basics of API monitoring, and wrap up with practical advice on how to get comprehensive API monitoring in your organization.

A 2017 study by Google, researchers found: That was over 8 years ago. And let’s be honest, it’s not likely users have found any additional patience in that time. Web Vitals are a set of performance metrics defined by Google that measure user experience. They focus on things like LCP (how long the main content takes to load), INP (how quickly the page responds to input), and CLS (how visually stable the app is, meaning whether content shifts unexpectedly).

An effective DevOps team is about creating the right structure, culture, and processes that enable collaboration across traditionally siloed departments. The right DevOps team structure can dramatically improve software delivery speed, reliability, and overall customer satisfaction. But what exactly makes a great DevOps team? And how can you build one that works for your organization?