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Course Outline
Container Architecture
- Containers versus Virtual Machines
- Analyzing Container Structure
- Container Management Platforms
- OCI and CRI Standards
Container Orchestration
- Limitations of Container Management Systems
- Kubernetes Architecture Overview
- Introduction to Orchestration
- Masters and Nodes
- Etcd
- Kube-apiserver
- Kubelet
- Kube-proxy
- Controller Manager
- Kube Scheduler
- Designing and Installing a Kubernetes Cluster
- Laboratories
- Installing a Multi-Node Kubernetes Cluster
Kubernetes Command-Line Utilities
- Imperative versus Declarative Approaches
- Kubectl
- Krew
- Kube ns
- kube ctx
- Laboratories
- Initiating Work with Kubernetes
- Executing Kubectl Commands
- Essential Tools
Core Kubernetes Concepts
- Namespaces
- Pods and Multi-Container Pods
- Labels and Selectors
- Replication Controllers and ReplicaSets
- Deployments (Rolling Updates and Rollbacks)
- ConfigMaps and Secrets
- Liveness and Readiness Probes
- Laboratories
- Application of Core Concepts
- Performing Rolling Updates and Rollbacks
- Utilizing Labels and Selectors
- Managing ConfigMaps and Secrets
- Configuring Liveness and Readiness
Kubernetes Networking
- Cluster-Level Networking
- Pod Networking
- Service Networking
- CoreDNS within Kubernetes
- Ingress
- Laboratories
- Network Configuration
- Service Setup
- Ingress Management
Scheduling Mechanisms
- Manual Scheduling
- Taints and Tolerations
- Node Labels and Selectors
- Node Affinity
- Static Pods
- DaemonSets
- Laboratories
- Applying Manual Scheduling
- Implementing Taints and Tolerations
- Using Node Labels and Selectors
- Configuring Node Affinity
- Managing Static Pods
- Working with DaemonSets
- Jobs and Cronjobs
Storage in Kubernetes
- Persistent Volumes
- Persistent Volume Claims
- Dynamic Provisioning via StorageClass
- Laboratories
- Static Provisioning
- Dynamic Provisioning
Kubernetes Security
- Role-Based Access Control (RBAC)
- Service Accounts
- Security Contexts
- Resource Quotas
- Network Policies
- Laboratories
- RBAC and Cluster Roles
- Managing Service Accounts
- Defining Security Contexts
- Implementing Network Policies
Logging and Monitoring
- Helm
- Operators
- Monitoring Cluster Components
- Implementing the GAP Stack (Grafana, Alertmanager, Prometheus)
- Laboratories
- Using Helm
- Setting Up the GAP Stack
Requirements
- A solid understanding of cloud computing principles
- Proficiency with the Linux command-line interface
Target Audience
- DevOps engineers
- Developers
28 Hours
Testimonials (5)
I liked the pace of training.
Michael
Course - Kubernetes from Basic to Advanced (4 days)
it was a lot of information. probably would benefit from another day as i felt like it may have been a bit compressed to try and squeeze it all in.
Mark
Course - Kubernetes from Basic to Advanced (4 days)
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)
trainer style
