Observability

Live Website: The Zen of Prometheus In modern days, we run our applications as loosely coupled microservices on distributed, elastic infrastructure as (mostly) stateless workloads. Under these circumstances, observability is the key to understanding how our applications run and behave in action to deliver highly available and resilient service. Prometheus is born in such an atmosphere as a solution to satisfy the observability needs of the cloud-native era. Among many other observability signals like logs and traces, metrics play the most substantial role. Sampled measurements observed throughout the system are crucial for monitoring the health of the applications and they enable real-time, actionable alerting. Although Prometheus tooling makes life a lot easier, there are still numerous possibilities to make mistakes or misuse them. ...

Observability is the key to understand how your application runs and behaves in action. This is especially vital for distributed environments like Kubernetes, where users run Cloud-Native microservices often written in Go. Among many other observability signals like logs and traces, the metrics signal has a substantial role. Sampled measurements observed throughout the system are crucial for monitoring the health of the applications and, they enable real-time, actionable alerting. While there are many open-source robust libraries, in various languages, that allow us to easily instrument services for backends like Prometheus, there are still numerous possibilities to make a mistake or misuse those libraries. ...