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.

This course is targeted at students with the following:

• Motivations: Develop, operate or manage scalable containerized applications orchestrated by Docker Swarm

• Roles: General technical audiences & IT professionals

• Laptop with WiFi connectivity

• Attendees should have the latest Chrome or Firefox installed, and a free account at strigo.io.

• 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