Keynote: Monitoring Kubernetes Clusters with Prometheus
summary
Prometheus is a pull-based system that stores raw multi‑dimensional metrics and scales to millions of time series; it scrapes histograms for on‑the‑fly percentiles, runs linear predictions to trigger alerts (example: linear prediction warns disk full in 4 hours), and discovers targets by watching the Kubernetes API so new pods are scraped immediately. Cluster setup uses node-exporter, kube‑state‑metrics, cAdvisor and etcd checks, and an operator plus ServiceMonitor CRDs produces a one-command deployment with alerts and Grafana dashboards.
AI-written summary · about
chapters (11)
- 0:00Intro
- 2:05Prometheus
- 5:00Metrics
- 5:50Monitoring individual targets
- 7:46Cluster monitoring
- 10:47The operator concept
- 12:10Prometheus overview
- 14:33Prometheus for services
- 15:20Selfservice and monitoring
- 15:57Service monitor
- 17:14Summary
related talks
37mMonitoring Kubernetes with Prometheus
24mPractical Kubernetes Monitoring with Prometheus
32mDemocratizing Application Monitoring with Prometheus
30mCrash course in Kubernetes monitoring
13mKeynote: Prometheus: From Berlin to Bonanza
02h 43mPrometheus from A to Z
31mEvolution of Metric Monitoring and Alerting: Upgrade Your Prometheus Today
34mMonitoring Cloud Infrastructure
