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LinkedIn Learning

DevOps Foundations: Monitoring and Observability

via LinkedIn Learning

Overview

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Monitoring is a key practice area of modern operations. Learn the techniques and tools for monitoring from a DevOps mindset.

Syllabus

Introduction
  • Measure, detect, and respond
  • What you need to know
1. Introduction to Monitoring and Observability
  • Overview of monitoring and observability
  • Importance of observability in building applications
  • Pillars of observability
  • Observability architecture
2. Metrics and Monitoring
  • Metric types
  • Analyzing metrics
  • Choosing the right metric
  • Metrics in action using Mimir and Grafana Cloud
3. Tracing and Distributed Systems
  • Concepts of tracing and distributed systems
  • Tracing in action using Tempo and Grafana Cloud
4. Logging and Log Management
  • Concepts of logging and log management
  • Best practices for logging
  • Log collection and application
  • Log monitoring in action using Loki and Grafana Cloud
5. Events
  • Collecting system events
  • Event analysis and correlation
6. Monitoring Techniques
  • Application performance monitoring
  • Synthetics monitoring
  • Infrastructure monitoring
  • Product monitoring
  • Other monitoring techniques
7. Utilizing Observability Signals
  • Dashboards and visualization
  • Monitoring and alerting
  • SLIs, SLOs, SLAs
  • Incident management
  • Machine learning and observability
Conclusion
  • Choosing your observability stack
  • Measuring the success of your observability
  • Implementing observability in your organization

Taught by

Peco Karayanev and Ernest Mueller

Reviews

4.7 rating at LinkedIn Learning based on 69 ratings

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