Operations | Monitoring | ITSM | DevOps | Cloud

Golang (Go) applications are known for their high performance, concurrency model, and efficient resource use, making Go an easy choice for building modern distributed systems. But just because your Go application is built for speed doesn't mean it's running perfectly in production. When things go wrong, just checking if your service is "UP" isn't enough.

Observability used to be a fragmented mess. You had one agent for logs, a different library for metrics, and a proprietary SDK for distributed tracing. If you wanted to switch vendors, you had to rewrite your instrumentation code from scratch. OpenTelemetry (OTel) fixed this. It has become the second most active project in the CNCF (Cloud Native Computing Foundation), right behind Kubernetes.

But migration is painful. Moving from Datadog means manually rebuilding dashboards, rewriting every query, and reconfiguring panels one by one. What took months to build takes weeks to migrate. Engineering teams get pulled away from actual product work to rebuild monitoring infrastructure they already had working. Critical monitoring setups and the context around why dashboards were built a certain way often get lost. We kept hearing about this from teams evaluating SigNoz, so we built a solution.

Django is a popular open-source "batteries-included" Python web framework that enables rapid development while taking out much of the hassle from routine web development. By providing pre-built components like ORM integrations, authentication/authorization systems and more, it enables developers to focus on business logic and iterate fast. As such, developers and organizations worldwide use Django to build web apps of varying complexities.