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dgt_k8s07 – Monitoring

Course Title: dgt_k8s07 – Monitoring

Overview:

In the dynamic world of Kubernetes k8s, effective monitoring is essential to ensure that applications and clusters operate smoothly. The “dgt_k8s07 – Monitoring” course provides participants with a comprehensive understanding of how to implement robust monitoring solutions using Prometheus, Grafana, and Alertmanager within a Kubernetes environment.

Course Objectives:

  • Understand the Basics: Gain foundational knowledge about why monitoring is crucial in a Kubernetes ecosystem.
  • Learn Key Tools: Dive into the functionalities of Prometheus for metrics collection, Grafana for data visualization, and Alertmanager for alert management.
  • Operational Proficiency: Learn to deploy and configure these tools efficiently using the Prometheus Stack Operator.
  • Integration Skills: Master the integration of these monitoring components in a Kubernetes cluster.

Course Modules:

  1. Introduction to Kubernetes Monitoring:
  2. Importance of monitoring in containerized environments.

  3. Overview of challenges in monitoring Kubernetes clusters.

  4. Prometheus: Metrics Collection and Analysis:

  5. Introduction to Prometheus architecture and data model.
  6. Configuring Prometheus to scrape metrics from Kubernetes components.

  7. Writing PromQL queries for effective metric analysis.

  8. Grafana: Visualization and Dashboards:

  9. Setting up Grafana within a Kubernetes cluster.
  10. Creating custom dashboards to visualize Kubernetes metrics.

  11. Best practices for dashboard design and usage.

  12. Alertmanager: Alert Management:

  13. Configuring Alertmanager for alert routing, deduplication, and grouping.
  14. Defining alert rules in Prometheus to trigger notifications.

  15. Integrating with notification channels like email, Slack, or PagerDuty.

  16. Prometheus Stack Operator:

  17. Importance of using the Prometheus Stack Operator for streamlined deployments.
  18. Step-by-step guide on deploying the Prometheus Stack Operator.

  19. Configuring and managing a complete stack Prometheus, Grafana, Alertmanager with minimal manual intervention.

  20. Advanced Monitoring Techniques:

  21. Implementing service monitoring, node-level metrics, and application-specific metrics.
  22. Using recording rules for optimized query performance.

  23. Enhancing alerting strategies with multi-tiered alert policies.

  24. Hands-on Lab Exercises:

  25. Practical exercises to deploy and configure Prometheus Stack in a Kubernetes cluster.

  26. Real-world scenarios to create dashboards and alerts that mimic production environments.

  27. Best Practices and Optimization:

  28. Optimizing resource usage for monitoring components.
  29. Security considerations when deploying monitoring solutions.
  30. Scaling the monitoring stack with growing clusters and workloads.

Target Audience:

This course is designed for DevOps professionals, system administrators, Kubernetes practitioners, and IT engineers who aim to enhance their skills in cloud-native application monitoring. Prior knowledge of Kubernetes basics is recommended but not mandatory, as the course will cover essential concepts where necessary.

Course Outcome:

By the end of this course, participants will be equipped with the skills needed to deploy a fully functional monitoring stack using Prometheus, Grafana, and Alertmanager within a Kubernetes environment. They will understand how to leverage the Prometheus Stack Operator to simplify deployment processes and ensure comprehensive visibility into their applications and infrastructure.
The students can push their exercises to the Academy DevOps & SRE GIT project. For this module, create a folder with your username as its name in the following subfolder: https://github.com/Garanti-Del-Talento/gdt_academy/tree/main/dgt_k8s07__monitoring