CN110 Docker Swarm Application Essentials

Live Online (VILT) & Classroom Corporate Training Course

Unlock the full potential of Docker Swarm with our advanced containerization course. Dive deep into Swarm setup, deployment, networking, configuration management, scaling, and monitoring to become proficient in orchestrating containerized applications effectively.

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CN110 Docker Swarm Application Essentials


This course dives deep into orchestrating containerized applications with Docker Swarm. Participants will learn how to set up and configure a Swarm, deploy workloads, manage networking, provision storage, scale applications, and monitor Swarm clusters effectively.


By the end of this course, leaner will be able to:

  • Understand the operational priorities of container orchestration with Docker Swarm.
  • Learn about Swarm architecture and scheduling workflows.
  • Gain proficiency in deploying and scaling containerized applications on Swarm.
  • Implement automatic failure mitigation and application health checks.
  • Master advanced concepts such as rolling updates, service discovery, routing, dynamic configuration, and persistent storage provisioning.


  • Basic understanding of containerization principles and Docker.
  • Familiarity with Linux command-line interface.
  • Ability to operate a laptop with WiFi connectivity.
  • Latest Chrome or Firefox browser installed.
  • Free account at for lab exercises.

Course Outline

Module 1: Setting up and Configuring a Swarm2024-03-22T16:48:33+05:30
  • Installation and basic configuration of Docker Swarm.
  • Advanced customization options for Swarm clusters.
Module 2: Operational Priorities of Container Orchestration2024-03-22T17:00:13+05:30
  • Understanding the key considerations in orchestrating containerized applications.
Module 3: Networking and Service Discovery2024-03-22T17:02:22+05:30
  • Configuring networking for Swarm workloads.
  • Implementing service discovery and routing strategies.
Module 4: Scaling and Monitoring Swarm2024-03-22T17:07:28+05:30
  • Scaling workloads dynamically based on demand.
  • Monitoring Swarm clusters and identifying potential failure modes.

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