Kubernetes from Basic to Advanced (4 days) Training Course
Kubernetes is an open source platform for container orchestration and management. It automates the operations, administration, and deployment of containerized applications and services.
This instructor-led, live training (online or onsite) is aimed at DevOps engineers and developers who wish to use Kubernetes to build, deploy, and manage containers and cluster components in a secure and scalable environment.
By the end of this training, participants will be able to:
- Understand the architecture, core concepts, and components of a Kubernetes ecosystem.
- Set up, install, and configure a Kubernetes cluster for container orchestration.
- Learn how to execute Kubernetes operations using the command line tools.
- Get a hands-on experience from basic to advanced Kubernetes operations and administration.
Format of the Course
- Interactive lecture and discussion.
- More than 40 hands-on-labs per-student.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Course outline for days 1-2
Introduction
I. Containers Architecture
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Containers vs VMs
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Dissecting Containers
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Container Management Systems
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OCI and CRI
II. Container Orchestration
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Container Management Systems Limitations
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Kubernetes Architecture
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Introduction
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Masters/nodes
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Etcd
-
Kube-apiserver
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Kubelet
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Kube-proxy
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Controller manager
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Kube scheduler
-
-
Design and install a Kubernetes cluster
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Labs
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Installing a multi-node Kubernetes cluster
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III. Kubernetes Command-Line Tools
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Imperative vs declarative
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Kubectl
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Krew
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Kube ns
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kube ctx
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Labs
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Getting started with Kubernetes
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Kubectl commands
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Tools of the trade
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IV. Kubernetes Core Concepts
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Namespaces
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Pod and Multi-container Pods
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Labels and Selectors
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Replication controllers / ReplicaSets
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Deployments (Rolling Updates and Rolling Back)
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ConfigMaps and Secrets
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Liveness and Readiness
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Labs
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Kubernetes Core Concepts
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Rolling Update and Rollback
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Labels and Selectors
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ConfigMaps and Secrets
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Liveness and Readiness
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V. Kubernetes Networking
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Cluster Networking
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Pod Networking
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Service Networking
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CoreDNS in Kubernetes
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Ingress
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Labs
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Networking
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Services
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Ingress
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Course outline for days 3-4
VI. Scheduling
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Manual Scheduling
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Taints and tolerations
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Node labels and Selectors
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Node Affinity
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Static Pods
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DaemonSets
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Labs
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Manual Scheduling
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Taints and tolerations
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Node labels and Selectors
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Node Affinity
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Static Pods
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DaemonSets
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Jobs and Cronjobs
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VII. Kubernetes and Storage
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Persistent Volumes
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Persistent Volume Claims
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Dynamic Provisioning with StorageClass
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Labs
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Static provisioning
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Dynamic provisioning
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VIII. Kubernetes Security
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Role Based Access Control
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Service Accounts
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Security Contexts
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Resource Quotas
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Network Policy
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Labs
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RBAC and Cluster Roles
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Service Accounts
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Security Contexts
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Network Policy
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IX. Logging and Monitoring
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Helm
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Operators
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Monitoring Cluster Components
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Setting up the GAP stack - Grafana Alertmanager Prometheus
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Labs
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Helm
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Setting up the GAP stack
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Conclusion
Requirements
- An understanding of cloud computing concepts
- Familiarity with the Linux command line
Audience
- DevOps engineers
- Developers
Open Training Courses require 5+ participants.
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Testimonials (5)
everything was explained and backed up with an exercise
Mchal - Lukka Poland sp. z o.o.
Course - Kubernetes from Basic to Advanced (4 days)
Huge trainer knowledge, every question had an answer :)
Mateusz - Lukka Poland sp. z o.o.
Course - Kubernetes from Basic to Advanced (4 days)
Scope of the material. Possibilities to discuss the material together with the trainer, to learn about different alternatives to the problems raised.
Marcin Z - Lukka Poland sp. z o.o.
Course - Kubernetes from Basic to Advanced (4 days)
Machine Translated
trainer style
Karol - Lukka Poland sp. z o.o.
Course - Kubernetes from Basic to Advanced (4 days)
Knowledge and preparation of the trainer as well as responsiveness, willingness, and ability to adapt training to the group's needs. I recommend this trainer.
Orange
Course - Kubernetes from Basic to Advanced (4 days)
Machine Translated
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