Kubernetes Orchestration

In the course Kubernetes Orchestration from SpiralTrain participants learn how to set up a Kubernetes cluster to deploy and manage a system of microservices and containers.

Kubernetes Introduction

The course Kubernetes Orchestration starts with a discussion of the packaging of applications in images from which containers are instantiated. In particular Docker Containers, Docker Engine and the role of Dockerfiles and docker-compose.yaml are discussed.

Kubernetes Components

Next it is explained which components make up a Kubernetes cluster, how these components are built up and how they work together. This includes Nodes, Pods and Services. Also covered is how the kubectl command line tool can be used to control the cluster.

Kubernetes Architecture

The course Kubernetes Orchestration also explains the architecture of a Kubernetes cluster with the scheduler, replication controllers and rest services. The role of YAML Files, the Pod Manifest, Metadata and ConfigMaps is treated.

Cluster Deployments

Then it's time to cover Cluster Deployments. The deployment lifecycle of a cluster with container states such as Desired State, Actual State and Pod phases such as Complete Stage and Failed Stage is treated. And scaling of deployments and the rollback of deployments are also discussed.

Kubernetes Services

Subsequently attention is paid to the various services that are present in a Kubernetes cluster, such as the ClusterIP, the NodePort and the LoadBalancer service. Service discovery and port configurations are covered as well.

Networking

Finally networking in a Kubernetes cluster is on the program of the course. Container communication and pod communication are treated. Ingress networking and ingress rules are explained.

Audience course Kubernetes Orchestration

The course Kubernetes Orchestration is intended for developers and devops professionals who want to gain knowledge of Kubernetes for deploying and orchestrating containers.

Prerequisites course Kubernetes Orchestration

To participate in the course Kubernetes Orchestration participants must have experience in developing applications. Experience with containers is recommended.

Realization Training Kubernetes Orchestration

The theory is covered on the basis of presentations. The concepts are explained with demos. The theory is interchanged with exercises. The course times are from 9.30 to 16.30.

Certificate course Kubernetes Orchestration

After successfully completing the course participants receive a certificate Kubernetes Orchestration.

Modules

Module 1 : Kubernetes Intro

• What is Kubernetes?
• Packaging Applications
• Images
• Docker Containers
• Docker Engine
• Environment Replication
• Control Groups
• Namespaces
• Layered File System
• Resource Utilization
• Development Life Cycle
• Containers and Microservices
• Container Orchestration

Module 2 : Kubernetes Components

• Kubernetes Cluster
• Nodes and Pods
• Services
• kubectl
• cluster-info
• Kubernetes Dashboard
• Grafana Monitoring
• Rest-API
• Swagger Dashboard
• Master Container
• kube-scheduler
• kube-apiserver
• Using CLI

Module 3 : Kubernetes Architecture

• Scheduler
• Replication Controllers
• Rest Services
• etcd
• kube-proxy
• YAML Files
• Pod Manifest
• Metadata
• Label Selectors
• Storage
• ConfigMaps
• ConfigMap from File
• ConfigMap in Pod

Module 4 : Cluster Deployments

• Deployment Lifecycle
• Deployment Stages
• Progressing Stage
• Desired State
• Actual State
• Complete Stage
• Failed Stage
• Rollback Deployments
• Scale Deployment
• Pause Deployment
• Cluster Workloads
• Health Checks
• Life Cycle Hooks

Module 5 : Kubernetes Services

• Types of Services
• ClusterIP
• NodePort
• LoadBalancer
• ExternalName
• Proxy Modes
• userspace
• iptables
• Service Discovery
• DNS versus ENV Var
• Headless Services
• Port Configurations
• Secrets

Module 6 : Networking

• Container Communication
• Pod Communication
• Pod to Service Communication
• Ingress
• HTTP(S) Routes
• Ingress Rules
• Types Of Ingress
• Single Service
• Simple Fanout
• Virtual Hosting
• Ingress Controllers
• Helm Charts
• Operators