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?

We are thrilled to share that ManageEngine has been recognized as a Customers’ Choice in the 2025 Gartner Peer Insights Voice of the Customer for Network Management Tools. We are even more excited to be the only vendor positioned in the Customers' Choice quadrant for this category! This recognition is especially meaningful because it's completely based on reviews and feedback from our customers.

Today, next to Ping and TCP monitoring, we've also launched a new PHP SDK package, which has been rebuilt from scratch using the wonderful Saloon library. Using our new SDK, you can easily use the entire Oh Dear API. In this blog post, I'd like to show you how you can use the new SDK and how it works under the hood.

As an engineer on Honeycomb’s frontend platform team, I’m constantly trying to understand and improve our web performance. And I have a whole lot of questions. I tried answering these types of questions without Honeycomb in the past, and it was difficult and time consuming. It used to take me days to identify performance issues and their causes, let alone fix them and confirm that they improved web performance for some subset of users.

When you're instrumenting applications with OpenTelemetry, you'll encounter two core components: the API and the SDK. The API defines what telemetry data looks like and how it is created, while the SDK handles how that data is processed and exported. Understanding this split helps you build more maintainable observability and avoid tight coupling between your business logic and telemetry infrastructure.