Prometheus

A sponsored keynote, which is a genre that usually means a product pitch. This one is about how Red Hat ran Prometheus across a large fleet, and why the patches we needed went upstream rather than into a fork we would have to carry forever. Past a certain scale, Prometheus stops being one binary you put on a box. It becomes a set of components you assemble, with Thanos or something like it behind it, and the interesting problems move from “how do I scrape this” to how you keep the whole assembly cheap, queryable, and boring to operate. Same ideas, more moving parts. ...

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. ...