course | Certified Observability Engineer Training

Module 1: Introduction to Observability
 

•  Understanding Observability: Concepts and Principles
•  The Role of Observability in Modern Systems
•  Observability vs. Monitoring: Key Differences
•  Benefits and Challenges of Implementing Observability

Module 2: Observability Tools and Technologies
 

•  Logging: Log Management and Analysis
•  Metrics: Collecting and Analyzing System Metrics
•  Tracing: Distributed Tracing Techniques
•  APM (Application Performance Monitoring) Tools
•  Synthetic Monitoring and Real User Monitoring (RUM)

Module 3: Implementing Observability Solutions
 

• Designing an Observability Strategy
• Instrumentation: Adding Observability to Applications and Infrastructure
• Data Collection and Storage
• Visualization and Dashboarding
• Alerting and Incident Response

Module 4: Analyzing Observability Data
 

• Log Analysis and Search Techniques
• Metrics Analysis and Visualization
• Tracing Data Analysis and Troubleshooting
• Correlation and Root Cause Analysis
• Anomaly Detection and Predictive Analytics

Module 5: Advanced Observability Topics
 

• Observability in Microservices and Distributed Systems
• Observability for Cloud-Native Applications
• Observability at Scale: Challenges and Best Practices
• Observability, Security, and Privacy Considerations
• Future Trends and Emerging Technologies in Observability

Module 6: Exam Preparation
 

• Overview of the Certified Observability Engineer Certification Exam
• Sample Questions and Practice Exercises
• Exam Tips and Strategies.