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Advanced Kubernetes Techniques: Monitoring, Logging, Auto-Scaling
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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.

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Overview

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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 truly dynamic and resilient, so that they require minimal manual involvement and are self-adaptive.

The world of DevOps has exploded with the help of technologies like Kubernetes and Docker. In this course, you will learn abou...Show More

Content

76 Lessons55 Quizzes

Before Getting Started

2 Lessons

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

Introduction

Intended Audience and Course Requirements

Autoscaling Deployments and StatefulSets

8 Lessons

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

8 Lessons

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

18 Lessons

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

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

6 Lessons

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.

Introduction

Creating a Cluster

Using HorizontalPodAutoscaler Without Metrics Adapter

Exploring Prometheus Adapter

Create HPA with Custom Metrics pulled through Exporters

Create HPA with Custom Metrics pulled through Instrumented metric

Combine Metric Server Data with Custom Metrics

The Complete HorizontalPodAutoscaler Flow of Events

Reaching Nirvana

Revise and Test the Concepts

Visualizing Metrics And Alerts

10 Lessons

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

Introduction

Create a Cluster

Which Tools Should We Use for Dashboards?

Installing And Setting up Grafana

Importing and Customizing Pre-Made Dashboards

Creating Custom Dashboards

Creating Semaphore Dashboards

A Better Dashboard for Big Screens

Prometheus and Graph Alerts, Grafana Notifications, Semaphores

Revise and Test the Concepts

Collecting And Querying Logs

13 Lessons

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

Introduction

Create a Cluster

Exploring Logs Through kubectl

Choosing a Centralized Logging Solution

Exploring Logs Collection and Shipping

Explore Centralized Logging Through Papertrail

Combine GCP StackDriver with a GKE Cluster

Combine AWS CloudWatch with an EKS Cluster

Combine Azure Log Analytics with an AKS Cluster

Explore Centralized Logging

Switching to Elasticsearch for Storing Metrics

What Should We Expect from Centralized Logging?

Revise and Test the Concepts

Conclusion

1 Lessons

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

What did we do?

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Viktor Farcic

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