In this article, we dig deeper into why we decided to extend support for ClickHouse as a storage backend for SigNoz and the efficiency gains we achieved using it.
Our first community update - Signal
Excited to launch our first newsletter. We are delighted to have crossed 1.6k stars on GitHub, growing more than 30% last month. Catch up on what we're upto at SigNoz!
Monitor your Python application with full stack open source APM tool - SigNoz
In this article, learn how to setup application monitoring for Python apps using an open-source solution, SigNoz.
Self-hosting software & why it may be worth considering again now
Not all industries are the same in terms of the sensitivity of data they handle. And as you mature as a company, you need to be more careful of how you handle your critical data. With the advent of modern cloud native technologies & Kubernetes, on-prem software is more viable now
The genesis of SigNoz - A full-stack open source observability platform
Why we felt there was a need for a full-stack open source observability platform and how we went about building it.
Cost benchmarking - Self hosting SigNoz vs using a SaaS vendor
In this post we want to lay out typical price which someone would incur in running SigNoz. This would give potential users an idea of what resources they would need to provision & typical monthly cost at different application load and sampling rates.
Getting started with OpenTelemetry on Kubernetes
OpenTelemetry is an instrumentation standard for application monitoring - both for monitoring metrics & distributed tracing. In this blog, we take you through a hands on guide on how to run this on Kubernetes.
Distributed tracing using Jaeger with Cassandra
With microservices becoming popular, tracing is increasingly more important in debugging production software. In this post, we take you through a step by step guide on setting up Jaeger over Kubernetes with Cassandra storage.
Why are we building SigNoz?
Setting up HA Prometheus with Cortex and Cassandra
In this blog, we explain how we enable high availability Prometheus using Cortex and Cassandra. This provides a single pane of view across multiple clusters - which enables visualising all monitoring metrics in one go.