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Monitoring and Observability for Application Developers

Monitoring & Observability are must have skills for Developers and DevOps professionals. This course provides a comprehensive overview of these concepts and teaches you the hands-on skills to employ monitoring, observability, and logging for your application.

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Monitoring and Observability for Application Developers

There is one session available:

119 already enrolled!
After a course session ends, it will be archivedOpens in a new tab.
Starts Feb 6, 2023

Monitoring and Observability for Application Developers

Monitoring & Observability are must have skills for Developers and DevOps professionals. This course provides a comprehensive overview of these concepts and teaches you the hands-on skills to employ monitoring, observability, and logging for your application.

Monitoring and Observability for Application Developers
3 weeks
8–10 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts Feb 6, 2023

About this course

Skip About this course

Employing monitoring and observability solutions are crucial skills for Software Developers and DevOps professionals to ensure continuous uptime and delivery for their applications. Monitoring is the practice of watching and understanding the state of systems using metrics and logs. ****

Observability is a modern development practice that allows software developers to actively troubleshoot applications faster than ever. Observability and Monitoring work together, with observability detecting and investigating problems, and monitoring capturing the metrics and alerting you when an issue occurs. ****

This course provides a comprehensive overview of monitoring and observability, including why it’s essential for application development, popular tools for application monitoring, troubleshooting and logging, and leveraging insights to make the application more reliable. ****

You’ll learn the fundamentals of monitoring, Golden signals, the difference between monitoring and evaluation, and terminology. You’ll also work with monitoring and alerting tools like Prometheus and Grafana and data visualization tools like Kibana and Splunk. You’ll understand the 3 Pillars of Observability and work with OpenTelemetry and implement logging with Mezmo. ****

This course includes multiple hands-on labs throughout the course for you to demonstrate your monitoring and observability skills and interact with popular tools used by professionals.

In the final project, you’ll apply monitoring and observability skills to a real-world application scenario and demonstrate your working knowledge and gain the confidence to perform these tasks as if in a job setting.

At a glance

  • Institution: IBM
  • Subject: Computer Science
  • Level: Intermediate
  • Prerequisites:

    Python programming skills.

What you'll learn

Skip What you'll learn
  • 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

About the instructors

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