
Learn how Docker Swarm automates provisioning and deployment of containers. Discover how it ensures redundancy, availability, load balancing, service discovery, health monitoring, and scalable resource allocation.
Understand how Docker containers, images, and Dockerfiles address environment disparity by packaging code and dependencies into portable containers that run everywhere.
Provision and manage docker hosts with docker-machine to form a swarm cluster, starting with a manager and adding worker nodes across Mac, Windows, or VirtualBox environments.
Create a Docker Swarm management node and a worker node using boot2docker or WSL on Windows, exploring virtual machines, Linux distros, and swarm mode.
Set up a virtual switch to enable communication between hosts, configure a Docker Swarm with one manager and two workers, and initialize the cluster for multi-node orchestration.
Initialize a three-node docker swarm by creating and configuring the manager with an advertise address, then join two workers and verify node availability.
Learn how to expand a Docker Swarm by using the join token to add workers and managers, and understand node roles, tokens, and swarm configuration.
Promote and demote swarm nodes to switch roles between managers and workers, convert nodes accordingly, and follow docker node commands to manage your swarm efficiently.
Remove a node from a docker swarm in a two-step process: leave the node from the swarm, then force remove if needed; verify swarm status and rejoin workers or managers.
Learn to inspect swarm nodes with docker node inspect, viewing id, creation and update times, labels, role, availability, certificates, IP address, and state; run on a manager node.
Create Docker swarm services by selecting a container image, running a command, and configuring ports, replicas, and networks.
Learn to scale a Docker Swarm service by using the replicas flag with docker service create, launching multiple containers across manager and worker nodes to demonstrate replica behavior.
Visualize docker swarm services in real time with the docker swarm visualizer, seeing where each service runs on the nodes through a graphical interface and monitoring status.
Explore how to view Docker Swarm service and task logs, inspect and manage services, scale and upgrade them, and troubleshoot issues using log details to identify containers, nodes, and images.
Explore updating node roles and availability in Docker Swarm, converting workers to managers, pausing nodes, and how labels and constraints affect service placement and execution.
Learn how to expose swarm services to the outside world by using port mapping to publish container ports on the host, enabling access via manager or worker IPs.
Learn to create and manage labels as key-value metadata, apply environment and other attributes to nodes, and use deployment constraints to run services only on labeled nodes.
Apply role-based constraints in Docker Swarm to ensure certain services run exclusively on manager nodes by using the rule option, including health-check rules.
Explore the moby project, docker's open source collection of container components and a framework to assemble them into a container platform, highlighting how open source contribution builds skills and opportunities.
Discover how Docker Swarm uses replicas to achieve high availability by keeping multiple docker service containers running across nodes, and the swarm automatically recovers failed or offline nodes.
Scale Docker Swarm services to meet demand by increasing or decreasing replicas. Use Docker service scale to adjust instances and monitor replica status as load changes.
Learn how Docker Swarm handles load balancing and auto rebalancing across manager and worker nodes, and perform a forced rebalancing using service update --force.
Learn how to forcefully rebalance Docker Swarm services across three nodes, distinguishing running from shut down services and validating balance with the Swarm visualizer.
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.
What is docker swarm?
Docker swarm allows the user to manage multiple containers deployed across multiple host machines. It for small/medium size organization having less then 200 employees or cluster of less then 1000 machines.
What are salient features of Docker Swarm?
The salient features of Docker Swarm is:
Easy installation
High level of availability
Scalability (Not Auto scalable)
Auto Load Balancing
Fault tolerance
Easy to rollback task
Decentralized access
Service Discovery
What you will learn in this course?
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.