Do you know what your application is doing at any moment in time? In this course, Managing Advanced Kubernetes Logging and Tracing, you’ll learn to debug your applications, find performance issues, and optimize the resources according to the real-world usage of your application. First, you’ll explore how to handle logs both from your application and Kubernetes. Next, you’ll discover how to store and process the logs and also how to use distributed tracing. Finally, you’ll learn how to visualize all this information and add alerting. When you’re finished with this course, you’ll have the skills and knowledge of Kubernetes logging and tracing needed to maintain a distributed application in production
Author Name: Piotr Gaczkowski
Author Description:
Piotr is keen on automating boring activities. Coding since he was 10 years old. He loves creating simple solutions for everyday human problems. Willingly shares his knowledge by writing articles and conducting courses. Has worked in the IT industry for over 10 years, both on full-time positions and as a freelancer. Rarely without sunglasses, never without headphones.

Table of Contents

• Course Overview
  1min
• Why Are Logging and Tracing Important?
  19mins
• Accessing the Kubernetes Logs
  19mins
• Collecting and Analyzing the Logs
  16mins
• Distributed Tracing in Kubernetes
  16mins
• Monitoring with Prometheus and Grafana
  19mins
• Advanced Use Cases for Observability
  12mins