Open Source Go Server Monitoring Tools

An easy-to-use Status Page for your websites and applications. Statping will automatically fetch the application and render a beautiful status page with tons of features for you to build an even better status page. This Status Page generator allows you to use MySQL, Postgres, or SQLite on multiple operating systems. Statping-ng strives to remain future-proof and remain intact if a failure is created. Your Statping-ng service should not be running on the same instance you're trying to monitor. If your server crashes your Status Page should still remain online to notify your users of downtime.

Go gRPC Prometheus is a middleware for exporting gRPC metrics to Prometheus, enabling performance monitoring and alerting for gRPC services.

Distributed tracing observability platforms, such as Jaeger, are essential for modern software applications that are architected as microservices. Jaeger maps the flow of requests and data as they traverse a distributed system. These requests may make calls to multiple services, which may introduce their own delays or errors. Jaeger connects the dots between these disparate components, helping to identify performance bottlenecks, troubleshoot errors, and improve overall application reliability. Jaeger is 100% open source, cloud-native, and infinitely scalable.

Kindling is an eBPF-based cloud-native monitoring tool, which aims to help users understand the app behavior from kernel to code stack. With trace profiling, we hope the user can understand the application's behavior easily and find the root cause in seconds. Besides trace profiling, Kindling provides an easy way to get an overview of network flows in the Kubernetes environment and many built-in network monitor dashboards like TCP retransmit, DNS, throughput, and TPS. Not only as a network monitor, but Kindling is also trying to analyze one detail RPC call and get the following information, which can be found in network Explore in Chrome. The usage is the same as network exploration in Chrome, with which users can tell which part to dig into to find the root cause of the problem in the production environment.