Target Audience
Developers, DevOps, System Administrators
About Docker and Kubernetes
Docker is a very popular framework for building, shipping and running distributed applications. It eases the deployment process.
Kubernetes is a popular framework for managing container deployments on a cluster.
In this course, the students will learn the concepts of Kubernetes (e.g., Pods, ReplicaSets, Deployments, Services) as well as deployment patterns and best practices.
The course includes extensive hands-on exercises will are crucial to the understanding of the topics.
Docker is a very popular framework for building, shipping and running distributed applications. It eases the deployment process.
Abstract
In this course, the students understand the concepts, architecture and user-cases of Docker.
The course involves extensive hands-on exercises which are crucial to the understanding of the Docker mechanics.
Prerequisites
• Basic Linux commands
• Basic Programming Concepts (control flows, conditionals, scripting)
What will you learn?
Docker Intro:
- The problem domain
- How Docker works
- Linux namespaces
- cgroups
- Docker vs VM
- Docker architecture
- Installing Docker
Containers:
- Running containers
- 3rd party containers
- Logging
- Managing containers
Volumes:
- Mounting volumes to a container
- Managing volumes
- Listing
- Deleting
- Using data containers
Building images:
- Dockerfile syntax
- FROM, ADD, RUN, CMD ..
- Build configuration
- Image caching
- Managing Docker images
- Tagging
- Publishing to registry
- Deletion
Docker compose:
- Docker compose syntax
- Services
- Build definitions
- Inheritance
- Networking
- Docker-compose cli api
Understanding basic Kubernetes Concepts
- An overview of images and containers
- Pods
- Labels & Selectors
- Replica Sets (and Replication Controllers)
Using Deployments to manage your services declaratively
- Update management and update strategies
- Deploy multiple revisions
- Blue/green deployment
- Canary release strategies
- Audit releases (event log)
Services
- How services work
- Load balancing
- Virtual service IP
- Abstract away backends (simple local database/external database)
- Talking to services
- Environment variables
- DNS (A cluster addon)
- Headless services
Secrets and ConfigMaps
- Daemon Sets and Jobs
- Communicate with daemons
- Push
- NodeIP
- DNS
- Service
- Jobs types
- Non-parallel
- Parallel and fixed completion count
- Parallel with a work queue
- The syllabus includes a virtual lab for each section.
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