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Monitoring & Logs - Observability

About this course​

Observability is the ability to understand the internal state of a system from its outputs. This course covers the three pillars: Metrics, Logs, and Traces.

Prerequisites​

  • Basic DevOps knowledge
  • Docker and Kubernetes
  • Linux administration
  • Networking fundamentals

Course content​

  1. Introduction to Observability

    • The 3 pillars
    • SRE and SLOs
    • Observability architecture

  2. Prometheus

    • Architecture and concepts
    • PromQL
    • Service discovery

  3. Grafana

    • Dashboards
    • Data sources
    • Variables and templates

  4. ELK Stack

    • Elasticsearch
    • Logstash
    • Kibana

  5. Grafana Loki

    • Architecture
    • Promtail
    • LogQL

  6. Alerting

    • Alertmanager
    • Alerting rules
    • Routing and silencing

  7. Distributed Tracing

    • OpenTelemetry
    • Jaeger
    • Grafana Tempo

  8. Application Performance Monitoring

    • APM concepts
    • Datadog / New Relic
    • Open source alternatives

  9. Best practices

    • Naming conventions
    • Cardinality
    • Retention

  10. Exercises and Projects

    • Hands-on labs
    • Complete stack
    • Troubleshooting

Estimated duration​

⏱️ 18-22 hours of training including hands-on exercises

Learning objectives​

By the end of this course, you will be able to:

  • Deploy a complete monitoring stack
  • Write PromQL and LogQL queries
  • Create professional Grafana dashboards
  • Configure effective alerts
  • Implement distributed tracing
  • Apply observability best practices