• Demonstrate working knowledge of monitoring tools Prometheus and Grafana, and observability tool Open Telemetry.

• Perform troubleshooting using Tracing. and explain the value Trace provides.

• Demonstrate your knowledge of monitoring techniques and explain how they would be used as metrics.

• Develop hands-on experience with variety of tools such as Prometheus, Grafana, Kibana, Splunk and Open Telemetry, Mezmo (LogDNA).

Module 1: Introduction to Monitoring for Applications

• What is Monitoring

• Types of Monitoring

• Introduction to Observability

• Introduction to Evaluation

• Golden Signals for Monitoring

• Difference Between Monitoring and Evaluation

• Components of Monitoring Systems

• Importance of Monitoring systems

Module 2: Monitoring Systems and Techniques

• Introduction to Synthetic monitoring

• Tools of Synthetic Monitoring

• Application Monitoring

• Application Monitoring in Action

• Hands-on Lab: Monitoring in Action (Prometheus, Grafana)

• Using Monitors visualization (Kibana, Splunk)

• User Monitors: Alerting

Module 3: Observability and Concepts

• What Do You Mean by Observability

• 3 Pillars of Observability: Tracing, Telemetry, Logging

• Introduction to Sampling

• Introduction to Telemetry

• Telemetry Platforms

• Tracing Tools

• Hands-on Lab: Automated Instrumentation with Open Telemetry

• Tracing for Container-based Applications

• Hands-on Lab: Kubernetes Configuration for Tracing

Module 4: Logging

• Introduction to Logging

• Logging Tools

• Distributed Logging – Correlation ID’s

• Implementing Logging (Formatting, Parsing of Logs)

• Log Storage (Configurations, Log Retention Policy)

• Mezmo Overview

• Demo: Mezmo in Action

• Hands-on Lab: Working with Mezmo (LogDNA)

Module 5: Final Project