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Monitoring & Observability

Monitoring helps you track applications, infrastructure, and services for health, performance, and reliability.

Monitoring vs. Observability

  • Monitoring: Tracking metrics (CPU, memory, errors) and alerting for issues
  • Observability: Understanding the internal state of systems by examining logs, metrics, and traces

Why Is Monitoring Important?

  • Detect issues early
  • Ensure high availability and performance
  • Provide insights for capacity planning and optimization

Common Tools

  • Prometheus: Metric collection and alerting
  • Grafana: Visualization dashboards
  • ELK/EFK Stack: Log aggregation (Elasticsearch, Logstash/Fluentd, Kibana)
  • Datadog, New Relic, Splunk: Commercial solutions

Core Practices

  • Set up baseline monitoring for all services
  • Use dashboards and alerts for critical events
  • Practice incident response and postmortems

A robust monitoring and observability setup helps teams respond quickly and deliver high-quality software!

Quick Recap

1. What is the primary goal of DevOps?

2. Which of the following is NOT a key pillar of DevOps?

3. What does Continuous Integration (CI) primarily aim to solve?

4. What distinguishes Continuous Deployment from Continuous Delivery?

5. Which of these tools is most closely associated with managing containerized applications at scale?

6. Why are containers considered essential in modern DevOps workflows?

7. What is the key difference between Monitoring and Observability?

8. Which stack is commonly used for log aggregation and visualization?


Congratulations! You’ve completed the DevOps basics path. Explore more advanced topics as you continue your journey.