prometheus-configuration

Prometheus scrape configuration defines target endpoints for metric collection from Kubernetes pods and node-exporter. This setup uses service discovery and static configurations to automatically identify and scrape metrics from infrastructure components and application workloads.

Prometheus alerting and recording rules provide proactive visibility by evaluating metric expressions at regular intervals. Recording rules precompute frequent queries to optimize performance, while alerting rules trigger notifications based on defined threshold conditions.

Prometheus deployment supports both Helm-based installation on Kubernetes clusters and Docker Compose configurations. Helm enables scalable, managed deployments with standardized templates, while Docker Compose offers simpler setup for development environments.

Prometheus monitoring operates across Kubernetes, Docker Compose, and bare-metal environments. The configuration adapts to each deployment target by adjusting scrape configurations and service discovery methods to collect metrics from both containerized and direct infrastructure sources.

Prometheus scrape configuration failures often stem from incorrect service discovery settings or missing Kubernetes API permissions. Proper configuration requires accurate role definitions, correct namespace selectors, and matching label selectors to successfully discover and scrape target services.

Service discovery is needed in dynamic environments like Kubernetes where pod IPs change frequently, while static scrape configurations suit stable bare-metal targets. The configuration supports both approaches, allowing mixed strategies for comprehensive metric collection across infrastructure.