| Dates | Number Of Tickets | price |
| Until 01.06.24 | 1 | 1800 ILS |
| Until 01.06.24 | 5 | 7200 ILS + 1 FREE |
| After 01.06.24 | 1 | 2100 ILS |
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.
Syllabus
- 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?
Schedule:
21:00 - 15:00
Hayarkon 2 Bnei Brak Floor 17