The Complete Guide to Kubernetes (3-Course Bundle)

Course Curriculum

Chapter 1: Hands-On Cloud Native Development with Kubernetes

Lecture 1: The Course Overview

Lecture 2: What Does Cloud-Native Mean?

Lecture 3: Working on a Cloud-Native Software Delivery Platform

Lecture 4: Understanding Cloud Build and Cloud Source Repositories

Lecture 5: Cloud Pub/Sub and Cloud Functions

Lecture 6: Configuring and Overview of a Google Kubernetes Engine

Lecture 7: Storing Code in Cloud Source Repositories

Lecture 8: Implementing CI/CD Workflows with Cloud Build

Lecture 9: Build, Test, and Push Docker Images to the Container Registry

Lecture 10: Configuring Cloud Pub/Sub for Notifications from the Container Registry

Lecture 11: Configure a Highly Available Kubernetes Cluster in GKE

Lecture 12: Differences Between Google Kubernetes Engine and kubeadm

Lecture 13: Getting Familiar with kubectl

Lecture 14: Deploying Our First Cloud- Native Application to GKE

Lecture 15: Scaling out the Application With kubectl

Lecture 16: End-to-end Continuous Delivery Workflow in Action

Chapter 2: Centralized Logging and Monitoring with Kubernetes

Lecture 1: The Course Overview

Lecture 2: Introduction to Centralized Monitoring and Logging with EFK

Lecture 3: Overview of Elasticsearch

Lecture 4: Overview of Fluentd

Lecture 5: Overview of Kibana

Lecture 6: Step-By-Step Guide to Implementing the EFK Stack

Lecture 7: Creating the Kubernetes Cluster in Google Cloud Platform

Lecture 8: Sending Kubernetes Cluster Metrics to EFK

Lecture 9: Kubernetes Cluster Observability in Detail

Lecture 10: Running Containerized Workloads on Kubernetes

Lecture 11: Sending and Analyzing Application Logs to EFK

Lecture 12: Application Monitoring and Logging at Scale

Lecture 13: Creating Kubernetes Monitoring Dashboards in Kibana

Lecture 14: Creating Application Monitoring Dashboards in Kibana

Lecture 15: Leveraging Kibana to Debug and Troubleshoot Application Issues

Chapter 3: Troubleshooting Kubernetes

Lecture 1: The Course Overview

Lecture 2: Planning and Installing

Lecture 3: Resource Management

Lecture 4: Scenario – Insufficient Cluster Capacity

Lecture 5: Pod Security Policy

Lecture 6: Troubleshooting Networking Issues

Lecture 7: Scenario – Deploy the Debug Tool

Lecture 8: DNS or Pod-to-Service Communication Issues

Lecture 9: Scenario – Kubernetes Dashboard Loading Is Slow

Lecture 10: Multi-Platform Kubernetes Cluster

Lecture 11: Taints and Tolerations

Lecture 12: Common Issues with Multi-Platform Clusters

Lecture 13: Scenario – Pending State Post-Deployment

Lecture 14: Kubernetes Cluster Management

Lecture 15: Creating and Managing Kubernetes Objects

Lecture 16: Viewing Kubernetes Resources Using Kubectl CLI

Lecture 17: Modifying Kubernetes Resources Using Kubectl CLI

Lecture 18: Kubectl CLI Issue

Lecture 19: Kubernetes Dashboard Overview

Lecture 20: Logging Architecture and Logging Patterns in Kubernetes

Lecture 21: Cluster-Level Logging in Kubernetes

Lecture 22: Common Issues Related to Logging

Lecture 23: Resource Allocation and Configuration Aspects of the Logging Backend

Lecture 24: Kubernetes Monitoring

Lecture 25: Key Resources to Monitor and Related Metrics

Lecture 26: Alerts

Lecture 27: Working with Replication Controllers

Lecture 28: Deployment with Replica Sets – Next – Generation Replication Controllers

Lecture 29: Running Jobs – Run Once and Forget

Lecture 30: Using Deployments

Lecture 31: Using DaemonSet to Run Code on Multiple Nodes

Lecture 32: Targeting Deployment to Specific Nodes

Lecture 33: Setting Resource Limits for Application

Lecture 34: Capabilities and Security Policies

Lecture 35: Troubleshooting Application Deployment Issues

Lecture 36: Handling Out Of Memory Errors

Lecture 37: Handling Garbage Collection and Eviction Thresholds

Lecture 38: Services for Kubernetes Explained

Lecture 39: Service Discovery and Routing

Lecture 40: Ingress Resources Explained

Lecture 41: Troubleshooting Application Access Issues