In this course, students will learn what a containerized application looks like when orchestrated by Docker Swarm. We will 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.
 

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

General technical audiences & IT professionals who want to learn how to develop, operate or manage scalable containerized applications orchestrated by Docker Swarm.
 

No certification available.

• 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