Top 8 Open-Source Observability & Testing Tools

This page summarizes the projects mentioned and recommended in the original post on

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  • tracetest

    Tracetest - Generate end-to-end tests automatically from your traces. For QA, Dev, & Ops.

    Tracetest is a new addition to the CNCF landscape, and is 100% open source, with code first published on GitHub in February 2022. If you like what you are seeing from Tracetest, give the project a star on GitHub!

  • malabi

    Tracing Based JavaScript Assertions

    Malabi is an open-source test framework. With Malabi, you can write integration tests on distributed systems by collecting data from a microservice during a test run, then exposing an endpoint to make assertions on that data. The maintainers say Malabi implements trace-based testing, similar to Tracetest. Malabi uses OpenTelemetry to collect your trace data.

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • Newman

    Newman is a command-line collection runner for Postman

    Postman is a departure from the tracing- and observability-focused tools we just covered. Instead, Postman is a cloud platform for building and using APIs. Once your back-end team is on Postman, it acts like an API repository, giving you a single place to create, document, mock, and test your APIs across their entire lifecycle.

  • jaeger

    CNCF Jaeger, a Distributed Tracing Platform

    Jaeger is an open-source end-to-end tracing tool designed to help developers monitor and troubleshoot transactions in distributed environments. The goal is to simplify how developers debug a set of distributed services, which is far more complex than dealing with a single monolith.

  • signoz

    SigNoz is an open-source APM. It helps developers monitor their applications & troubleshoot problems, an open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool

    The team behind SigNoz describes itself as an open-source alternative to enterprise-level observability platforms like Datadog, New Relic, and more. Unlike some of the more generalist tools on this list, SigNoz focuses on application performance monitoring (APM), which attempts to measure performance from the end-user experience perspective, helping developers fix issues before real users are affected.

  • prometheus

    The Prometheus monitoring system and time series database.

    Prometheus is the de facto standard for monitoring, one aspect of observability, focusing on gathering metrics and enabling alerts. It uses a robust time-series database for storing high-resolution metrics data and multiple modes for visualizing what you’ve collected from your back-end services.

  • opentelemetry-go

    OpenTelemetry Go API and SDK

    One clear takeaway is the enormous value in instrumenting your back-end code with distributed tracing and OpenTelemetry sooner rather than later! Many of these popular observability and testing tools integrate with OpenTelemetry’s collector or SDK, which means you can instrument once and test out multiple tools to find the workflows that work best for back-end development at your organization.

  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • Apache Solr

    Apache Lucene and Solr open-source search software

    OpenSearch is an open-source database to ingest, search, visualize, and analyze data. It’s built on top of Apache Lucerce, a FOSS library for indexing and search, which OpenSearch leverages for more advanced analytics capabilities, like anomaly detection, machine learning, full-text search, and more.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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