Welcome to SigNal 08, and the last SigNal issue of 2021! 🥳 This month, we made numerous PRs improving our product experience, added new awesome contributors, and launched a new initiative to discover better UX for our users. We also crossed 500+ members on our Slack community! 🥳 Wrapping up 2021, let’s see what Humans at SigNoz were up to in the month of December!

Welcome to SigNal 07! We sipped coffee, shipped code, fixed bugs, and made commits! The highlight of November was the alerts feature release 🔔. We also expanded our team and got our first community-led tutorial on how to monitor Ruby on Rails app with SigNoz. Let's dive in to see what humans of SigNoz have been up to in the month of November.

Welcome back to SigNal #6. Every month, SigNal from SigNoz gives you an update on what we've been building, shipping, and iterating. In the midst of sprint plannings, feature releases, and bug fixes, time just flew by, and here we are, with another monthly product update! Also, we crossed 5000+ GitHub stars this month.

A month and thousands of code lines later, we're here with our monthly product update - Signal #05. We squashed bugs, shipped custom metric dashboard along with improvisations in our frontend. We also got featured by one of the top online analytics magazines as one of the leading Data Observability platforms. 🥳 Let's dive in to see what humans at SigNoz have been up to!

Application Performance Monitoring (APM) tools are a critical component of distributed applications now. But choosing the right APM tool can be tricky. In this article, we go through a list of the top 21 APM tools including open-source APM tools which can help monitor and improve your application performance.

Jaeger is a popular open-source tool used for distributed tracing in a microservice architecture. In a microservice architecture, a user request or transaction can travel across hundreds of services before serving what a user wants. Distributed tracing helps to track the performance of a transaction across multiple services. Before we deep dive into how Jaeger accomplishes distributed tracing for microservices-based architecture, let's take a short detour to understand distributed tracing.

Both AWS X-Ray and Jaeger are distributed tracing tools used for performance monitoring in a microservices architecture. Jaeger was originally built by teams at Uber and then open-sourced in 2015. On the other hand, AWS X-Ray is a distributed tracing tool provided by AWS specifically focused on distributed tracing for applications using Amazon Cloud Services. Jaeger is a popular open-source tool that graduated as a project from Cloud Native Computing Foundation.

Jaeger is an open-source end-to-end distributed tracing tool for microservices architecture. On the other hand, Elastic APM is an application performance monitoring system that is built on top of the ELK Stack (Elasticsearch, Logstash, Kibana, Beats). In this article, let's explore their key features, differences, and alternatives. Application performance monitoring is the process of keeping your app's health in check. APM tools enable you to be proactive about meeting the demands of your customers.

Jaeger and New Relic are tools used in the application monitoring and observability domain. While Jaeger is an open source tool under Cloud Native Computing Foundation, New Relic is a SaaS vendor in the observability domain. Let us explore the key differences between Jaeger and New Relic in this article. New Relic is an extensive SaaS tool and provides application performance as well as infrastructure monitoring. Jaeger provides an open-source solution for end-to-end distributed tracing.

Jaeger and OpenTracing are both open-source projects. Jaeger was originally built by teams at Uber and then open-sourced. The OpenTracing project was also started by teams at Uber, and hence they are compatible with each other. While Jaeger is an end-to-end distributed tracing tool, OpenTracing is a set of APIs and libraries that can be used to instrument your application.