Software applications are the lifeline of today’s business. Apps often encounter issues such as bugs, slow speeds, or poor performance. Ensuring your app performs at an acceptable standard is crucial, and this is where monitoring and observability are essential for maintaining continuous uptime and delivering a seamless user experience.

This course covers the fundamentals of monitoring and observability, equipping you with essential skills and knowledge. You will learn about popular monitoring tools like Prometheus and Grafana, and explore data visualization tools such as Kibana and Splunk. These tools are integral to effective application monitoring and provide valuable insights into system performance. The course also delves into the Three Pillars of Observability, teaching you how to work with the OpenTelemetry framework and create logs using Mezmo.

Application monitoring involves identifying, measuring, and evaluating the performance of an application. It enables developers to proactively detect and resolve issues, ensuring optimal performance. Observability, on the other hand, assesses how well an application can be monitored based on the data collected. You will learn how monitoring and observability provide deep insights into your system, keeping it running smoothly and efficiently.

Throughout the course, you will engage in interactive labs to gain hands-on experience with monitoring and observability tools. In the final project, you will demonstrate your expertise by tackling a real-world application scenario, gaining the confidence to perform monitoring and observability tasks in any practical setting.

This course provides essential monitoring and observability skills for software developers, DevOps professionals, and site reliability engineers (SRE).

Learning Outcomes

Describe the importance of monitoring and observability, and explain key concepts like Golden Signals.
Interpret application performance metrics and troubleshoot using logging, stack traces, and log analytics.
Apply your understanding of monitoring techniques and illustrate how these metrics are utilized.
Implement observability for your applications to gain real-time performance insights
Build hands-on expertise with tools such as Prometheus, Grafana, Kibana, Splunk, OpenTelemetry, and Mezmo (LogDNA).

Course Syllabus

Module 1: Introduction to Monitoring for Applications

Video: Introduction to Monitoring
Video: Types of Monitoring
Video: Golden Signals of Monitoring
Summary and Highlights: Monitoring Basics
Practice Quiz: Monitoring Basics
Video: Difference between Monitoring and Evaluation
Video: Components of a Monitoring System
Video: Types of Metrics in a Monitoring System
Video: Importance of Monitoring
Summary and Highlights: Objectives of Monitoring
Practice Quiz: Objectives of Monitoring
Reading: Module 1 Glossary: Introduction to Monitoring for Applications
Quiz: Module 1 Graded Quiz: Introduction to Monitoring for Applications

Module 2: Monitoring Systems and Techniques

Video: Introduction to Synthetic Monitoring
Video: Tools of Synthetic Monitoring
Video: Introduction to Application Monitoring
Video: Introduction to Prometheus
Lab: Hands-on Lab: Monitoring in Action with Prometheus
Video: Choosing the Right Application Monitoring Tool
Video: Introduction to Grafana
Lab: Hands-on Lab: Monitoring in Action with Grafana
Reading: Summary and Highlights: Implementing Monitoring
Practice Quiz: Implementing Monitoring
Video: Using Visualization in Monitoring
Video: Alerting in Monitoring
Reading: Summary and Highlights: Monitoring Techniques
Practice Quiz: Monitoring Techniques
Cheat Sheet: Monitoring Systems and Techniques
Reading: Module 2 Glossary: Monitoring Systems and Techniques
Quiz: Module 2 Graded Quiz: Monitoring Systems and Techniques

Module 3: Methodologies and Tools in Logging

Video: Introduction to Logging
Video: Log Monitoring Tools
Video: Distributed Logging and Tracing
Reading: Summary and Highlights: Logging
Practice Quiz: Logging
Video: Implementing Logging
Video: Log Storage
Lab: Hands-on Lab: Analyze HTTP Logs
Reading: Summary and Highlights: Logging Implementation
Practice Quiz: Logging Implementation
Video: Mezmo Overview and Demo Video
Lab: Hands-on lab: Create a Parsing Template using Mezmo
Reading: Summary and Highlights: Introduction to Mezmo
Practice Quiz: Introduction to Mezmo
Reading: Module 3 Glossary: Methodologies and Tools in Logging
Quiz: Module 3 Graded Quiz: Methodologies and Tools in Logging

Module 4: Observability and Concepts

Video: What is Observability?
Video: The 3 Pillars of Observability
Video: Cloud Native Observability
Video: Cloud Native Observability Tools
Video: Introduction to Sampling
Video: IBM Instana Overview and Demo Video
Lab: Hands-on Lab: Observability in Action with Instana (Sandbox)
Reading: Summary and Highlights: Observability
Practice Quiz: Observability
Video: Introduction to Telemetry
Video: Telemetry and Tracing Tools
Lab: Hands-on Lab: Automated Instrumentation with OpenTelemetry
Reading: Summary and Highlights: Tracing using Open Telemetry
Practice Quiz: Tracing using Open Telemetry
Video: Tracing for Container-Based Applications
Lab: Hands-on Lab: Kubernetes Configuration for Tracing
Reading: Summary and Highlights: Monitoring Containers
Practice Quiz: Monitoring Containers
Cheat Sheet: Observability and Concepts
Reading: Module 4 Glossary: Observability and Concepts
Quiz: Module 4 Graded Quiz: Observability and Concepts

Module 5: Final Project

Final Project: Overview and Project Scenario
Final Project (Part 1): Getting Started with Instana: Setup and Creating Dashboard
Final Project (Part 2): Monitoring the Robotshop Application using Instana
Final Assessment

Course Wrap-Up

Reading: Glossary: Monitoring and Observability for Development and DevOps
Reading: Congratulations and Next Steps
Reading: Thanks from the Course Team

General Information

This course is self-paced.
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Recommended Skills Prior to Taking this Course

Software Engineering principles
Working knowledge of Python

Monitoring & Observability

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