CN100:
Docker Containerization Essentials (OD)
In the CN100: Docker Containerization Essentials course, you’ll learn how to create and manage individual containers using the Docker Engine. We’ll cover best practices in container image design and container deployment and auditing, as well as an introduction to single-node container networking and storage. This course is best practices focused, and is designed to enable rapid successful adoption of containerization from first principles.
Who Can Benefit
Motivations: Develop, operate or manage scalable containerized applications orchestrated by Docker Swarm
Roles: General technical audiences & IT professionals
Prerequisites
Familiarity with the bash shell
Filesystem navigation and manipulation
Command line text editors like vim or nano
Common tooling like curl, wget and ping
Familiarity with YAML and JSON notation
CN100 course or equivalent experience
Lab Requirements
Laptop with WiFi connectivity
Attendees should have the latest Chrome or Firefox installed, and a free account at strigo.io
Course Objectives
Setting up and configuring a Swarm
Operational priorities of container orchestration
Containerized application architecture
Swarm scheduling workflow & task model
Automatic failure mitigation
Swarm installation & advanced customization
Deploying workloads on Swarm
Defining workloads as services
Scaling workloads
Container scheduling control
Rolling application updates and rollback
Application healthchecks
Application troubleshooting
Deploying applications as Stacks
Networking Swarm workloads
Swarm service discovery and routing implementation
Routing strategies for stateful and stateless workloads
Swarm ingress traffic
Provisioning dynamic configuration
Application configuration design
Environment variable management
Configuration file management
Provisioning sensitive information
Provisioning persistent storage
Storage backend architecture patterns
NFS backed Swarms
Monitoring Swarm
What to monitor in production-grade Swarms
Potential Swarm failure modes & mitigations
Swarm workload monitoring