Duration: Hours

Kubernetes is a system for operating containerized applications at scale and it has become an essential tool for DevOps teams. Application teams can now deploy containerized applications to Kubernetes clusters, which can run either on-premises or in a cloud environment.

Training Mode: Online


Who Should Attend?

This hands-on course is designed for anyone wanting to learn how to deploy containerized workloads.

Kubernetes Training Course Outline

1. Introduction

a). Introduce Containers and their benefits

b). Create Microservices architectures using Containers

c). Apply best practices for managing containers and build files

d). Understand the Docker architecture

2. Get Started with Kubernetes

a). Introduce the terminology

b). Launch a Kubernetescluster

c). Create highly available pod replica sets with deployments

d). Expose pods with services

3. Deploy and Scale Workloads

a). Leverage labels to host different services on the same cluster

b). Automatically scale pods to handle user demand

c). Perform rolling updates to eliminate downtime during application updates

d). Minimize risks of new rollouts with blue-green deployments

e). Test new deployments with canary releases

4. Monitor Kubernetes Deployments

a). Control container and pod resources: CPU and Memory

b). Detect when pods are ready to receive traffic

c). Monitor pods to verify they are alive

d). Access storage volumes from containers

5. Introduction to Kubernetes Security

a). Tips on improving the security of Kubernetesclusters

b). Organize pods into namespaces

c). Manage user roles and permissions

d). Restricting network traffic with network policies

6. The Kubernetes Ecosystem

a). Integrate of Kubernetes, Docker, cluster and Cloud management

b). Organize resources using Helm

c). Manage Kubernetes using Rancher

d). Introduce other tools such as Istio, Kafka, Redis, and KNative


For more inputs on Kubernetes you can connect here.
Contact the L&D Specialist at Locus IT.


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