In this course, you’ll learn what a containerized application looks like when orchestrated by Docker Swarm. We’ll cover scheduling workloads across a cluster, networking stateless and stateful applications, provisioning dynamic configuration and persistent storage, and scaling highly available applications in this course intended to set a strong foundation in orchestration for all technical roles.
Benefits
Course Duration:
1 day
Who Should Attend:
Role: general technical audiences & IT professionals
Motivations: develop, operate or manage scalable containerized applications orchestrated by Docker Swarm
Course Prerequisites:
CN100 course or equivalent experience
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
Lab Requirements:
Laptop with WiFi connectivity
Attendees should have the latest Chrome or Firefox installed, and a free account at strigo.io.
Course Outline:
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