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Learn about the most popular orchestration management tool, Kubernetes
Updated on Sep, 2026
Programming, Software Development Tools, Kubernetes
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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 the most popular orchestration management tool, Kubernetes.
Kubernetes, also known as K8s, is an open-source container orchestration tool for automating the deployment, scaling, and management of containerised applications.
Among list of containerization orchestration tool, K8s is one of the popular and powerful tool which is originally designed by Google and is now maintained by the CNCF aka Cloud Native Computing Foundation.
The salient features of Kubernetes are:
Automated rollouts and rollbacks
IPv4/IPv6 dual-stack
Automatic bin packing and much more
In this learning path, you'll get answers to what a container is and a container orchestration tool, what Kubernetes is and how it is different from Docker, how to scale up the application, how to make fault tolerance and highly available applications and much more.
Then you'll be learning about pods (the basic unit of a Kubernetes cluster), then adding namespaces and labels to make a virtual cluster. Then you'll learn about replication controller, replicaset and deployment. What are the similarities and differences among them, and how can them with the help of YAML files?
You'll have lots and lots of detailed hands-on various commands related to minikube and kubectl.
Lectures backed by practical exercises make 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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