Syllabus:
https://docs.google.com/document/d/1rMsBL-BZF8bW9Z4QN8bGx8_0TxG87CvIMs6Dr59ntV0
Kubernetes is the open source standard for managing application containers from local to planetary scale. Originally developed by Google using 15 years of R&D, Kubernetes now flourishes in the open source community and has become the foundation for production cloud native solutions.
Kubernetes is the largest and fastest growing open source software solution focused on democratizing distributed system patterns. In its first two years of general availability, more production users have committed to Kubernetes than any other comparable solution.
This course will help you to gain understanding how to deploy, use, and maintain your applications on Kubernetes. If you are into DevOps, this is a technology you need to master. Kubernetes has gained a lot of popularity lately and it is a well sought skill by companies.
This course is updated frequently to include the features of latest releases!
When Google started running containers a decade ago, nobody could reach this kind of infrastructure agility and efficiency. Using this knowledge, Google released Kubernetes as an free and open source project. Nowadays Kubernetes is used by small companies and big enterprises who want to gain the efficiency and velocity Google has.
You can containerize applications using Docker. You can then run those containers on your servers, but there's no way you can manage those efficiently without extra management software. Kubernetes is an orchestrator for your containers that will create, schedule and manage your containers on a cluster of servers. Kubernetes can run on-premise or in the cloud, on a single machine or on thousands of machines.
I will show you how to build apps in containers using docker and how to deploy those on a Kubernetes cluster. I will explain you how to setup your cluster on your desktop, or on the cloud using AWS/Azure/GCP. I use a real world example app based on Microservices architecture to show you the real power of Kubernetes: scheduling stateless and stateful applications with auto-healing and scaling capabilities.
There is no prior knowledge needed, but a dev/ops/cloud/linux/networks background will definitely help.