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Self-Study: Monitoring for Containers (3.9)

 

Brief

This self-study module explores container monitoring, focusing on Kubernetes observability, Prometheus, Grafana, and Alerting Mechanisms. You will learn why monitoring is essential, key metrics to track, and popular tools used to monitor containerized applications effectively.

Videos

  1. Why is Monitoring Important in Kubernetes?
  2. Learn about monitoring Kubernetes workloads and the importance of observability.
  3. Watch: https://www.youtube.com/watch?v=XHexyDqa_S0&t=979s&ab_channel=IsitObservable
  4. Prometheus and Grafana for Kubernetes Monitoring
  5. Understand how Prometheus collects metrics and how Grafana visualizes them.
  6. Watch: https://www.youtube.com/watch?v=fzny5uUaAeY
  7. Kubernetes Logging and Metrics Collection
  8. Explore how logs and metrics are gathered in Kubernetes using Loki and Promtail.
  9. Watch: https://www.youtube.com/watch?v=XR_yWlOEGiA

Readings

  1. Why You Need Monitoring in Kubernetes
  2. Learn how Kubernetes monitoring helps track resource usage, manage workloads, and troubleshoot failures.
  3. Read: https://kubernetes.io/docs/concepts/cluster-administration/logging/
  4. Key Metrics for Kubernetes Monitoring
  5. Understand important metrics like CPU, memory, network usage, and container restarts.
  6. Read: https://grafana.com/docs/grafana-cloud/kubernetes-monitoring/
  7. Using Prometheus for Monitoring
  8. Discover how Prometheus scrapes metrics from Kubernetes clusters.
  9. Read: https://prometheus.io/docs/introduction/overview/
  10. Visualizing Metrics with Grafana
  11. Learn how Grafana creates dashboards for real-time Kubernetes monitoring.
  12. Read: https://grafana.com/docs/grafana/latest/introduction/

Key Concepts to Explore

  • Why Monitoring Matters in Kubernetes
  • Observability: Provides insights into resource usage and application health.
  • Troubleshooting: Helps identify pod failures, network bottlenecks, and CPU/memory issues.
  • Auto-scaling: Kubernetes uses monitoring data to dynamically adjust resources.
  • Compliance & Security: Ensures systems meet security and operational policies.
  • Key Monitoring Metrics
  • Node Metrics: CPU, memory, disk usage, and network traffic.
  • Pod & Container Metrics: CPU usage, memory consumption, restart counts.
  • Application Metrics: HTTP request latency, error rates, and throughput.
  • Popular Monitoring Tools for Kubernetes
  • Prometheus: Pull-based metrics collection and alerting.
  • Grafana: Data visualization and dashboarding for Kubernetes monitoring.
  • ELK Stack (Elasticsearch, Logstash, Kibana): Log-based observability.
  • Loki & Promtail: Logging solutions designed for containerized applications.
  • AWS CloudWatch: Managed Kubernetes monitoring solution in AWS.
  • Understanding Prometheus Components
  • Prometheus Server: Scrapes and stores metrics.
  • Exporters: Convert application metrics into a Prometheus-compatible format.
  • Alertmanager: Sends alerts via Slack, email, and PagerDuty.
  • Pushgateway: Allows short-lived jobs to push metrics.
  • Setting Up Kubernetes Monitoring with Prometheus & Grafana
  • Helm-based deployment of Prometheus stack
  • Using ServiceMonitor for targeted metric collection
  • Querying data with PromQL (Prometheus Query Language)

Helpful Links (References)

  1. Kubernetes Observability Guide
  2. Learn best practices for monitoring containerized workloads.
  3. https://isitobservable.io/observability/kubernetes/how-to-collect-logs-in-kubernetes-with-loki-and-promtail
  4. Deploying Prometheus and Grafana on Kubernetes
  5. Step-by-step guide for setting up monitoring stacks.
  6. https://lexdsolutions.com/post/2024-06-26-deploying-prometheus-grafana-loki-and-promtail-into-kubernetes/
  7. Prometheus Documentation
  8. Official documentation on collecting and querying container metrics.
  9. https://prometheus.io/docs/introduction/overview/
  10. Grafana Loki for Kubernetes Logging
  11. Learn how Loki integrates with Kubernetes for log aggregation.
  12. https://grafana.com/docs/loki/latest/send-data/promtail/installation/

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