This article was originally published on AI Study Room . For the full version with working code examples and related articles, visit the original post. Prometheus Deep Dive: Metrics, PromQL, Alerting, and High Availability Prometheus Deep Dive: Metrics, PromQL, Alerting, and High Availability Introduction Prometheus has emerged as the de facto standard for monitoring cloud-native infrastructure. Originally developed at SoundCloud and later donated to the Cloud Native Computing Foundation (CNCF), it has become the second graduated project after Kubernetes. Its pull-based metrics collection model, powerful query language, and multi-dimensional data model differentiate it from traditional monitoring solutions like Nagios or Zabbix. This article explores Prometheus architecture, metrics collection, PromQL, recording rules, alerting, and strategies for high availability. Metrics Collection Architecture Prometheus scrapes metrics from instrumented targets over HTTP.…