OpenTelemetry stands at the forefront of modern observability practices, revolutionizing how developers gain insights into their applications' performance and behavior. As a powerful distributed tracing framework, it empowers engineers to effortlessly instrument their applications, providing comprehensive visibility into the intricacies of microservices architectures. This tutorial discusses how OpenTelemetry can be used to get insights from a Java application.

Manually deploying and managing OpenTelemetry components in a Kubernetes environment can be a complex and time-consuming task. It involves creating various Kubernetes resources, setting up configurations, and ensuring the components are properly integrated with the applications.

RabbitMQ metrics monitoring is important to ensure that RabbitMQ is performing as expected and to identify and resolve problems quickly. In this tutorial, you will install OpenTelemetry Collector to collect RabbitMQ metrics and then send the collected data to SigNoz for monitoring and visualization.

Welcome to the 30th edition of our monthly product newsletter - SigNal 30! Last month, our Github repo crossed 15k+ Github stars, which is a great milestone for our open-source project and for our team. We also shipped the much-awaited logs pipeline that will make logs parsing a much better experience for our users. We also shipped other improvements to the product, hosted OpenTelemetry meetups and webinars, and much more.

Kubernetes is a powerful orchestration tool for managing containers, but it comes with its own set of challenges. One of the biggest hurdles is effectively logging what's happening in your system. As your applications grow and spread across clusters, keeping track of their behavior becomes crucial. In this article, we will discuss logging in Kubernetes, common Kubernetes log types, and how logs can be effectively tracked and managed.