As APIs play a crucial role in connecting modern cloud applications, monitoring their availability and performance is a must if you want to provide a top-notch experience. A good API monitoring tool will help you build reliable APIs by identifying and resolving the issues before they reach your users. If you’re interested in such a solution, look no further. In this article, we reviewed some of the best API monitoring tools and services available today, both open source and commercial.

The World Wide Web’s transmission system is built on HTTP. To ensure an application that uses the HTTP transmission works, you must monitor it constantly. This is where an HTTP monitor comes in. In this tutorial, we’ll cover the fundamentals of HTTP monitors, including what they are, why they matter, and how to set one up.

Solr is widely adopted by startups and enterprises alike. It’s powerful and open-source, so it’s very appealing to just about everyone looking for a search platform to build off of. Being easily accessible, many people overlook the importance of monitoring Solr. Even when that importance is put into question, a lot of people continue with the trend and use an open-source tool for their monitoring needs.

While Kubernetes revolutionized distributed orchestration, it also added complexity to logging and monitoring. To keep up with the challenges of working with Kubernetes clusters, you need to adapt your monitoring strategy. This includes changing the tools you use. To help keep your Kubernetes environment healthy, we made a list of the best Kubernetes monitoring tools. This list includes both open-source and commercial.

We often get questions like: And while the 14-year-old in me is proud to say that we’ve done 24/7 support for clusters of 1000+ nodes holding many PB of data, I am quick to add that.

OK, so you’ve decided to move from Elasticsearch to OpenSearch. Maybe our comparison helped you decide and maybe you’ve checked our guide on how to perform the migration. But how do you know if your new OpenSearch performs as well and functions as correctly as the existing Elasticsearch? Even when comparing old with new versions, upgrades don’t always translate into better performance.