prometheus-configuration

Prometheus scrape configuration defines metric collection jobs for Kubernetes services, static targets, and file-based service discovery workflows. You specify target endpoints, scrape intervals, and TLS settings to ensure reliable metrics gathering across your infrastructure.

Recording rules precompute expensive Prometheus queries such as request rates, error rates, latency percentiles, and resource utilization. Configuring these rules saves computational overhead during dashboard rendering and alert evaluation.

Prometheus alert rules define threshold conditions for service outages, high error rates, latency spikes, CPU, memory, and disk pressure. You write PromQL expressions that trigger alerts when infrastructure or application metrics breach defined limits.

File-based service discovery supports monitoring Docker Compose application fleets by dynamically loading target configurations from JSON or YAML files. This approach standardizes metric collection across dynamic infrastructure without requiring manual static target updates.

TLS settings secure scrape traffic between Prometheus and targets, while relabeling standardizes metric labels before ingestion. Both are required operational details for building a reliable, production-ready monitoring stack.