Advanced Kubernetes Techniques: Monitoring, Logging, Auto-Scaling

Delve into advanced Kubernetes features like monitoring, alerting, logging, and auto-scaling. Gain insights into creating resilient, self-adaptive clusters and applications with minimal manual intervention.

Advanced

76 Lessons

12h

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

55 Quizzes

407 Code Snippets

This course includes

55 Quizzes

407 Code Snippets

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

Before Getting Started

Get familiar with advanced Kubernetes techniques, requirements, and tools for enhanced cluster management.

Introduction

Intended Audience and Course Requirements

Autoscaling Deployments and StatefulSets

Discover the logic behind Kubernetes autoscaling using HorizontalPodAutoscaler for performance management and resource optimization.

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

Auto-Scaling Nodes Of A Kubernetes Cluster

Examine auto-scaling nodes for efficient resource use in Kubernetes clusters.

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

Collecting and Querying Metrics and Sending Alerts

Grasp the fundamentals of Kubernetes monitoring, metrics collection, querying, and alerting.

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

Debugging Issues Discovered Through Metrics and Alerts

Map out the steps for debugging Kubernetes issues using metrics, alerts, and instrumentation.

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

Extending HorizontalPodAutoscaler With Custom Metrics

10 Lessons

See how HorizontalPodAutoscaler integrates custom metrics, optimizing dynamic scaling and resource management.

Visualizing Metrics And Alerts

10 Lessons

Practice using Grafana and Prometheus for efficient monitoring and alert systems.

Collecting And Querying Logs

13 Lessons

Get familiar with centralized logging solutions and their integration with Kubernetes clusters.

Conclusion

1 Lesson

Walk through key advanced Kubernetes techniques for scaling, metrics, and logging.

Course Author

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.

Learn DevOps for Developers

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

10 Modules

Trusted by 1.4 million developers working at companies

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Anthony Walker

@_webarchitect_

Emma Bostian 🐞

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