Docker and Kubernetes: Building and Scaling a Containerized Application Training Course

[Day 01]

Introduction

• Containers vs virtual machines
• Speed and performance

Overview of Docker architecture

• Docker and the Linux kernel
• Docker components (Docker client, Docker daemon, images, registry, containers)

Using Docker to run and manage containers

• Images, containers, volumes, networks

Brief overview of container orchestration

Installing Docker

Pulling an image from the internet

• Sample: Apache Tomcat

Running the container

Docker registries

• Public vs private

Creating and managing Dockerfiles

Building a Docker image

Deploying a web application

• Sample application: Java EE application server

How Docker containers communicate with each other

Configuring volumes and networks in Docker

• Linking and state

[Day 02]

Deep dive into container orchestration with Kubernetes

Overview of Kubernetes architecture

• Pods, labels/selectors, replication controllers, services, API

Installing a Kubernetes cluster

Creating Kubernetes pods, volumes and deployments

Grouping and organizing your cluster

Discovering and publishing services

Discovering and connecting to containers

Deploying a web application

• Handling application components
• Handling Database connections

Kubernetes security

• Authentication & authorization

Advanced networking

• Docker networking vs Kubernetes networking

Monitoring Kubernetes

• Cluster logging with Elasticsearch and fluentd
• Container level monitoring (cAdvisor UI, Influxdb, Prometheus)

[Day 03]

Scaling your Kubernetes cluster

Infrastructure for Kubernetes

• Provisioning, partitioning, networking

Building a high-availability cluster

• Load balancing and service discovery

Deploying a scalable application

• Horizontal pod autoscaling
• Database clustering in Kubernetes

Updating your application

• Releases in Kubernetes

Troubleshooting

Closing remarks