Monitoring - Kubernetes

Course overview

Monitoring workloads in the cluster is a central component of operating orchestrated applications. In the DevOps program, monitoring and orchestration are covered together. Metrics are generated at multiple levels simultaneously. !Course Content !1. Measurement Levels in the Kubernetes Cluster *Metrics at node, workload, and container levels *Selection of metrics per level *Integration into platform monitoring !2. Data Collection in Orchestrated Operations *Collection of metrics from the Kubernetes cluster *Handling short-lived containers *Labeling metrics by workload !3. Alerting in Monitoring Operations *Thresholds for utilization and availability *Alerting for workloads that do not start *Avoiding recurring false alarms !4. Capacity and Scaling Decisions *Evaluation of metrics for capacity planning *Basis for automatic scaling *Assessment of resource requirements per workload !Professional Relevance *Monitoring orchestrated applications in ongoing operations *Reliable basis for scaling decisions *Early detection of faulty workloads

Upcoming dates

• 2026-09-27T22:00:00.000Z · 2026-12-25T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-27T22:00:00.000Z · 2027-03-25T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-25T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-25T23:00:00.000Z · 2027-04-22T22:00:00.000Z · Virtuelles Klassenzimmer