In the world of modern business, data drives decision-making. Every interaction, every transaction, and every click generates a series of data in the form of logs. These logs, often seen as plain text records, have the potential to unlock valuable business insights when analyzed correctly. In How to Create Log-Based Metrics to Improve Application Observability, we described the process of creating log-based metrics to improve application observability using Sematext Cloud.

As a Site Reliability Engineer (SRE) or DevOps professional, you are well aware of the importance of observability in ensuring the smooth functioning and performance of your applications. Observing and monitoring your applications can help you identify and resolve issues in real-time, resulting in increased reliability and improved user experience. Logs play a crucial role in this process as they provide detailed information about the activity and behavior of your applications.

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.

If you’re thinking of running OpenSearch on Kubernetes, you have to check out the OpenSearch Kubernetes Operator. It’s by far the easiest way to get going, you can configure pretty much everything and it has nice functionality, such as rolling upgrades and draining nodes before shutting them down. Let’s get going 🙂

New Relic is a huge name in the website observability and analytics industry. They’ve carved out a space for themselves in a highly competitive monitoring space, and have garnered thousands of users and hundreds of millions in revenue. New Relic is known for its Infrastructure Monitoring capabilities, but it also has a number of other tools that are just as popular. But, New Relic is not so popular with everyone.