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 Duration 14 hours

Course Outline

Introduction to Kubernetes Monitoring

  • Challenges associated with overseeing distributed Kubernetes clusters
  • Overview of Prometheus and Grafana implementations for Kubernetes governance
  • Kubernetes metrics: Analysis of kube-state-metrics and Node Exporter components

Implementing Prometheus for Kubernetes

  • Deployment of Prometheus within a Kubernetes cluster environment
  • Configuration of Prometheus for comprehensive Kubernetes observability
  • Mechanics of Prometheus service discovery mechanisms

Configuring Grafana for Kubernetes Data Visualization

  • Establishing connectivity between Grafana and Prometheus data sources
  • Designing Grafana dashboards tailored for Kubernetes operations
  • Application of templating techniques for dynamic Kubernetes dashboard generation

Observing Core Kubernetes Performance Indicators

  • Tracking resource consumption at the pod and container levels
  • Assessing node stability, health, and throughput
  • Visualizing service-level and network performance metrics

Establishing Alerting Protocols for Kubernetes

  • Definition of alert rules within the Prometheus framework
  • Configuration of notifications for pod failures and resource limit breaches
  • Integration of Alertmanager with Kubernetes infrastructure

Scaling and Optimizing Monitoring Architectures

  • Scaling Prometheus instances in high-traffic operational contexts
  • Optimization of Grafana dashboard performance and efficiency
  • Best practices for monitoring multi-cluster Kubernetes environments

Advanced Monitoring Methodologies

  • Distributed monitoring architecture design
  • Integration of Kubernetes monitoring with cloud platform services
  • Evaluation of emerging features in the Prometheus and Grafana ecosystems

Summary and Recommended Actions

Requirements

  • Demonstrated experience in Kubernetes administration
  • Foundational knowledge of Grafana and Prometheus tools
  • Proficiency with YAML configuration standards

Target Audience

  • Kubernetes administrators
  • DevOps engineers

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