מחזור: מחזור 77
תאריך פתיחה: 16/05/2024
מועדי הקורס:
16/05/202423/05/2024
שעות לימודים: 09:00 - 16:30
מחיר לפני מע"מ: ₪ 3,160
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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.
Topics
Module 01 - Introduction
Workshop Objectives
Workshop Agenda
Kubernetes Introduction
Module 02 - Kubernetes Architecture
Core Concepts
High-Level components Architecture
Master Components
Worker Node Components
Putting All Together
Additional Services
Module 03 - YAML and Kubctl
YAML
Kubectl
Lab 01: Setting Up Your Workstation
Module 04 - Kubernetes Basics
Kubernetes Building Blocks
Namespaces
Pods
Replication Sets
Lab 02: Creating Our First Pod
Module 05 - Deployments and Upgrades
Deployments
Rolling Upgrades
Lab 03: Deploy and Upgrade a Single Service
Module 06 - Labels and Annotations
Labels
Annotations
Selectors
Module 07 - Kubernetes Networking
Kubernetes Networking Introduction
Container Network Interface (CNI)
CNI Plugins
Fundamental Networking Rules
Networking patterns
Module 08 - Services
Services Introduction
Service Types – ClusterIP
Service Types – NodePort
Service Types – LoadBalancer
Service Types – ExternalName
Lab 04: Creating a Load Balancer Service
Module 09 - Ingress
Introduction to Ingress
Ingress Controllers
Lab 05: Deploying applications using Ingress
Module 10 - ConfigMaps and Secrets
ConfigMaps
ConfigMaps – As Environment Variables
ConfigMaps – As Volumes
Secrets
Lab 06: Using ConfigMaps and Secrets
Module 11 - Jobs and CronJobs
Jobs
CronJobs
Lab 07: Running Jobs and CronJobs
Module 12 - Deamonsets
DaemonSets
Lab 08: Running Pods as DaemonSets
Module 13 - Helm Package Manager
What is Helm?
Helm Concepts
Helm Architecture
Tiller
Helm CLI
Using Helm Charts
Lab 09: Deploying Applications using Helm
Module 14 - Managed Kubernetes
Local Development Kubernetes
Kubernetes on Google Cloud Platform (GKE)
Kubernetes on Amazon Web Services (EKS)
Kubernetes on Microsoft Azure (AKS)
Kubernetes On-Premise using Kubeadm and Kubespray
Other Kubernetes Distributions
Module 15 - Advanced Scheduling
Requests & Limits
Taints & Tolerations
Affinity & Anti-Affinity
Module 16 - Autoscaling
Scaling pods horizontally
Scaling pods vertically
Scaling cluster horizontally
Lab 10: Configuring Autoscaling
Module 17 - Kubernetes Storage
Introduction
Volumes
PersistentVolumes
PersistentVolumeClaims
StorageClasses
Module 18 - StatefulSets
StatefulSets
Lab 11: Working with StatefulSets
Module 19 - Summary
Course Summary
What Next?
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