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 Duration 14 hours

Course Outline

Introduction to Kubernetes Monitoring

  • Challenges associated with monitoring Kubernetes clusters
  • Overview of Prometheus and Grafana in the context of Kubernetes
  • Kubernetes metrics: Understanding kube-state-metrics and Node Exporter

Deploying Prometheus for Kubernetes

  • Installing Prometheus within a Kubernetes cluster
  • Configuring Prometheus specifically for Kubernetes monitoring
  • Grasping the concept of Prometheus service discovery

Setting Up Grafana for Kubernetes Visualization

  • Establishing the connection between Grafana and Prometheus
  • Customizing Grafana dashboards for Kubernetes insights
  • Utilizing templating features to create dynamic Kubernetes dashboards

Supervising Critical Kubernetes Metrics

  • Tracking resource usage for pods and containers
  • Monitoring node health and operational performance
  • Visualizing service and network performance metrics

Implementing Alerting in Kubernetes

  • Configuring alert rules within Prometheus
  • Creating alerts for pod failures and resource limit breaches
  • Integrating Alertmanager with Kubernetes workflows

Scaling and Optimizing Monitoring Solutions

  • Scaling Prometheus for high-traffic environments
  • Enhancing the performance of Grafana dashboards
  • Applying best practices for monitoring multi-cluster setups

Advanced Monitoring Techniques

  • Implementing distributed monitoring architectures
  • Integrating Kubernetes monitoring with cloud platforms
  • Exploring emerging features in the Prometheus and Grafana ecosystems

Summary and Future Directions

Requirements

  • Hands-on experience with Kubernetes administration
  • Foundational knowledge of Grafana and Prometheus
  • Proficiency with YAML configuration files

Target Audience

  • Kubernetes administrators
  • DevOps engineers

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