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Prometheus

Pull-based metrics monitoring and alerting built for cloud-native environments.

0Open Source
Monitoring
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Overview

Monitoring and alerting toolkit designed for reliability and scalability, part of the CNCF ecosystem.

Key Features

  • Multi-dimensional data model with labels for flexible querying
  • PromQL — powerful query language for aggregating and slicing metrics
  • Pull-based scraping with automatic Kubernetes service discovery
  • Alertmanager for deduplication, grouping, and routing of alerts
  • Exporters for databases, message queues, OS, and hardware metrics
  • Federation support for hierarchical multi-cluster setups

Real-World Workflows

Kubernetes cluster monitoring with alerting

  1. 1Deploy kube-prometheus-stack via Helm (includes Prometheus and Alertmanager)
  2. 2Prometheus auto-discovers pod and node metrics via Kubernetes SD
  3. 3Write PromQL alert rules for high CPU, OOMKill, and error rate spikes
  4. 4Alertmanager routes critical alerts to PagerDuty and warnings to Slack
  5. 5Visualize all metrics in pre-built Grafana dashboards

Application SLO tracking

  1. 1Instrument the application to expose /metrics in Prometheus format
  2. 2Define recording rules to compute error budget burn rate
  3. 3Alert when burn rate exceeds the threshold within a rolling window
  4. 4Display SLO compliance and remaining error budget on a Grafana dashboard

Getting Started

helm repo add prometheus-community \
  https://prometheus-community.github.io/helm-charts
helm install kube-prom-stack \
  prometheus-community/kube-prometheus-stack

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