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A practical oriented guide for Devops people with DCA sample questions
Updated on Sep, 2026
Programming, Software Development Tools, Docker
Duration - 1.5 hours
Training 5 or more people ?
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This course is fully based on pragmatic approach without any kind of bogus content. A short, precise and practical oriented course for IT pros just like you.
In this course, you are going to learn about most popular orchestration management tool, DOCKER SWARM. It allows the user to manage multiple containers deployed across multiple host machines.
Docker Swarm is for small/medium size organization having less then 200 employees or cluster of less then 1000 machines.
The salient features of Docker Swarm is:
High level of availability
Scalability (Not Auto scalable)
Easy to rollback task
Decentralized access
In this learning path, you'll get answers of what is docker, docker swarm, how to scale up the application, how to make fault tolerance and highly available applications and much more.
Then you'll be learning about how to create multiple Linux host machines with the help of docker machine and create virtual switch network among them for the communication. Once multiple cluster of nodes are ready to work with you'll learn to initialize docker swarm and generate token to add as many workers or managers into the swarm as per requirement.
Then you'll learn to deploy docker services (Image for microservices) in 3 node cluster
You'll have lots and lots of detailed hands on various commands related to docker swarm, docker nodes, docker containers, docker services.
Lectures backed by practical exercises makes it easy to understand without wasting time in doing troubleshooting. This is the only course that provides 90% practical hands on with 10% theory to support the topic.
Check out the detailed breakdown of what’s inside the course
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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