Overview
Docker is an open-source platform for automating the process of building, shipping and running applications inside containers. Kubernetes goes one step further by providing the tools needed to deploy and manage containerized applications at scale in a clustered environment.
In this instructor-led, live training (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster.
By the end of this training, participants will be able to:
- Set up and run a Docker container.
- Deploy a containerized server and web application.
- Build and manage Docker images.
- Set up a Docker and Kubernetes cluster.
- Use Kubernetes to deploy and manage a clustered web application.
- Secure, scale and monitor a Kubernetes cluster.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note:
- Apache Tomcat and a Java EE application will be used as our demo servers and applications for containerization. However, *these are subject to change*. If you would like to see a specific application or related tool or technique covered in this training, please contact us to arrange.
Requirements
- Familiarity with the Linux command line
- A basic understanding of virtualization concepts
- An understanding of networking concepts
- An understanding of how web applications work
Audience
- Software Developers
- Architects
- Deployment engineers
Course Outline
[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