Kubernetes Training Course with Docker

Who should attend

This training course is for anyone who needs to run or manage workloads on Kubernetes, whether you have inherited a cluster or you are exploring a new platform for your application deployment. The course is focussed on learning the day-to-day requirements of running Kubernetes interwoven with theory to give you a solid understanding of what’s happening "underneath the bonnet".

Prerequisites

Delegates should have some basic understanding of Linux and application development. You are not required to have any knowledge of Docker or Kubernetes although this may be advantageous. If you have any concerns please get in touch as we can help you get up to speed with the pre-requisites, through a hands-on primer (prior to in-house training, for instance) or written materials.

As this is a Bring Your Own Device course we'll ask you to bring a laptop (Windows, Mac or Linux) with:

• Admin permissions
• A user profile on Github
• Git installed
• The ability to SSH out to external machines (Windows users will need an application like Putty)

Live, instructor-led online and on-site training

We appreciate that you need flexibility to fit in with new working situations - whether you're an individual, part of a distributed team, or simply have projects and deadlines to meet. 

Our remote training can take place online in a virtual classroom, with content split into modules to accommodate your scheduling challenges and meet your learning goals. Get in touch today to find out how we can help design a cost-effective, flexible training solution.

As soon as it's safe, we'll return to also offering the on-site custom training courses and programmes upon which we've built our reputation.

Docker

• History of Docker and Containers
• Fundamental building blocks of a container
• Getting your application into an image
• Going from images to containers
• Interacting with running containers
• Multiple container workloads using docker-compose
• Docker networking
• Docker volumes

Kubernetes

• What is Kubernetes?
• What’s the problem we’re solving
• Kubernetes components
• Nodes

Resources for running your workloads

• Creating and editing:
  • Pods
  • Replicasets
  • Deployments
  • Namespaces

Configuring your application

• Useful commands in Kubernetes
• Environment variables
• ConfigMaps
• Secrets

Placing your workload

• Resource requirements
• Taints & Tolerations
• Node Selectors
• Node Affinity

Multi-container pods

• initContainers

Application observability in Kubernetes

• Liveness and readiness probes
• Container logging
• Debugging applications

Pod Design

• Labels, selectors and annotations
• Rolling updates and rollbacks
• Jobs
• Cronjobs

Kubernetes Security

• Service accounts
• RBAC

Kubernetes Networking

• Services
• Ingress
• Network policies

State persistence in Kubernetes

• Persistent volumes and persistent volume claims
• Storage classes
• StatefulSets