Kubernetes
Description
Everyone talks about Kubernetes lately, and they should. Kubernetes is now the market leader in container orchestration platforms, and has been adopted by all major cloud providers as a fully managed offering (GCP, AWS, Azure, Oracle Cloud), Kubernetes is being adopted in a growing rate for multiple use cases - as micro-services workloads, Big Data, and Machine Learning.
Intended audience
Senior developers, DevOps engineers and Cloud Architects, with good familiarity with Docker and Cloud concepts.
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Module 01 - Introduction
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Workshop Objectives
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Workshop Agenda
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Kubernetes Introduction
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Module 02 - Kubernetes Architecture
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Core Concepts
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High-Level components Architecture
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Master Components
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Worker Node Components
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Putting All Together
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Additional Services
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Module 03 - YAML and Kubctl
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YAML
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Kubectl
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Lab 01: Setting Up Your Workstation
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Module 04 - Kubernetes Basics
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Kubernetes Building Blocks
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Namespaces
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Pods
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Replication Sets
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Lab 02: Creating Our First Pod
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Module 05 - Deployments and Upgrades
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Deployments
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Rolling Upgrades
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Lab 03: Deploy and Upgrade a Single Service
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Module 06 - Labels and Annotations
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Labels
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Annotations
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Selectors
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Module 07 - Kubernetes Networking
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Kubernetes Networking Introduction
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Container Network Interface (CNI)
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CNI Plugins
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Fundamental Networking Rules
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Networking patterns
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Module 08 - Services
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Services Introduction
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Service Types – ClusterIP
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Service Types – NodePort
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Service Types – LoadBalancer
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Service Types – ExternalName
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Lab 04: Creating a Load Balancer Service
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Module 09 - Ingress
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Introduction to Ingress
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Ingress Controllers
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Lab 05: Deploying applications using Ingress
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Module 10 - ConfigMaps and Secrets
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ConfigMaps
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ConfigMaps – As Environment Variables
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ConfigMaps – As Volumes
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Secrets
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Lab 06: Using ConfigMaps and Secrets
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Module 11 - Jobs and CronJobs
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Jobs
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CronJobs
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Lab 07: Running Jobs and CronJobs
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Module 12 - Deamonsets
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DaemonSets
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Lab 08: Running Pods as DaemonSets
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Module 13 - Helm Package Manager
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What is Helm?
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Helm Concepts
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Helm Architecture
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Tiller
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Helm CLI
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Using Helm Charts
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Lab 09: Deploying Applications using Helm
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Module 14 - Managed Kubernetes
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Local Development Kubernetes
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Kubernetes on Google Cloud Platform (GKE)
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Kubernetes on Amazon Web Services (EKS)
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Kubernetes on Microsoft Azure (AKS)
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Kubernetes On-Premise using Kubeadm and Kubespray
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Other Kubernetes Distributions
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Module 15 - Advanced Scheduling
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Requests & Limits
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Taints & Tolerations
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Affinity & Anti-Affinity
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Module 16 - Autoscaling
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Scaling pods horizontally
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Scaling pods vertically
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Scaling cluster horizontally
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Lab 10: Configuring Autoscaling
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Module 17 - Kubernetes Storage
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Introduction
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Volumes
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PersistentVolumes
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PersistentVolumeClaims
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StorageClasses
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Module 18 - StatefulSets
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StatefulSets
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Lab 11: Working with StatefulSets
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Module 19 - Summary
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Course Summary
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What Next?
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- Basic Docker familiarity
- Basic Linux command line familiarity
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03-6176677
info@sela.co.il
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