Advanced Kubernetes Techniques: Monitoring, Logging, Auto-Scaling

INTERACTIVE COURSE

Advanced Kubernetes Techniques: Monitoring, Logging, Auto-Scaling

Advanced

76 Lessons

12h

Certificate of Completion

Advanced Kubernetes Techniques: Monitoring, Logging, Auto-Scaling

55 Quizzes

407 Code Snippets

94 Illustrations

Course Overview

The world of DevOps has exploded with the help of technologies like Kubernetes and Docker. In this course, you will learn about more advanced Kubernetes features such as monitoring, alerting, logging, and scaling - crucial concepts for any DevOps professional. You will learn how to monitor clusters, how to send alerts when potential issues arise, and how to query the whole system’s metrics and logs. By the end of this course, you will have the required knowledge to make your clusters and applications tru...Show More

Course Content

1

Before Getting Started

Intended Audience and Course Requirements

2

Autoscaling Deployments and StatefulSets

Introduction Create a Cluster

Install Metrics Server Observe Metrics Server Data Get Started with Auto-Scaling Pods Auto-Scale Pods Based on Resource Utilization Specify Replicas in Deployments or Statefulsets?Revise and Test the Concepts

3

Auto-Scaling Nodes Of A Kubernetes Cluster

Introduction Create a Cluster Set up Cluster Autoscaler Scale up the Cluster Scale down the Cluster Can We Scale up Too Much or De-scale to Zero Nodes?Cluster Autoscaler Compared in GKE, EKS, and AKS Revise and Test the Concepts

4

Collecting and Querying Metrics and Sending Alerts

Introduction Create a Cluster Choose the Tools for Storing and Querying Metrics and Alerting Defining Alert Rules Seeing Green Alerts in Action Seeing Red Alerts in Action Which Metric Types Should We Use?Alerting on Latency-related Issues Alerting on Traffic-related Issues Alerting on Error-related Issues Alerting on Saturation-related Issues Saturation-related Issues: Measure Memory Usage Alerting on Unschedulable or Failed Pods Upgrading Old Pods Measuring Containers Memory and CPU Usage Comparing Actual Resource Usage with Defined Requests Comparing Actual Resource Usage with Defined Limits Revise and Test the Concepts

5

Debugging Issues Discovered Through Metrics and Alerts

Introduction Create a Cluster Face a Disaster Use Instrumentation to Provide More Detailed Metrics Using Internal Metrics to Debug Potential Issues Revise and Test the Concepts

6

Extending HorizontalPodAutoscaler With Custom Metrics

10 Lessons

7

Visualizing Metrics And Alerts

10 Lessons

8

Collecting And Querying Logs

13 Lessons

9

Conclusion

1 Lesson

COURSE AUTHOR

How You'll Learn

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Take your Kubernetes skills to the next level, and make yourself more in-demand. Gain the skills to help you excel in any DevOps role.

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Master Docker and Kubernetes fast. Gain in-demand DevOps skills like at-scale application deployment, live-updates, and containerization.

10 Modules

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