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Course Outline
Containers Architecture
- Comparison of Containers versus Virtual Machines
- Analytical breakdown of Containers
- Container Management Systems
- OCI and CRI standards
Container Orchestration
- Limitations of standalone Container Management Systems
- Kubernetes Architecture overview
- Introduction to key components
- Masters and nodes
- Etcd database
- Kube-apiserver
- Kubelet agent
- Kube-proxy
- Controller manager
- Kube scheduler
- Designing and installing a Kubernetes cluster
- Practical Labs
- Installing a multi-node Kubernetes cluster
Kubernetes Command-Line Tools
- Imperative versus declarative configurations
- Mastering Kubectl
- Utilising Krew
- Managing namespaces (Kube ns)
- Context management (kube ctx)
- Practical Labs
- Getting started with Kubernetes
- Essential Kubectl commands
- Essential developer tools
Kubernetes Core Concepts
- Understanding Namespaces
- Pods and Multi-container Pods
- Labels and Selectors
- Replication controllers and ReplicaSets
- Deployments (including Rolling Updates and Rollbacks)
- ConfigMaps and Secrets
- Liveness and Readiness probes
- Practical Labs
- Deep dive into Kubernetes Core Concepts
- Executing Rolling Updates and Rollbacks
- Working with Labels and Selectors
- Implementing ConfigMaps and Secrets
- Configuring Liveness and Readiness
Kubernetes Networking
- Cluster-level Networking
- Pod-level Networking
- Service Networking
- CoreDNS integration in Kubernetes
- Ingress management
- Practical Labs
- Networking fundamentals
- Configuring Services
- Managing Ingress
Scheduling
- Manual Scheduling strategies
- Taints and tolerations
- Node labels and Selectors
- Node Affinity
- Static Pods
- DaemonSets
- Practical Labs
- Implementing Manual Scheduling
- Applying Taints and tolerations
- Using Node labels and Selectors
- Configuring Node Affinity
- Managing Static Pods
- Utilising DaemonSets
- Jobs and Cronjobs
Kubernetes and Storage
- Persistent Volumes
- Persistent Volume Claims
- Dynamic Provisioning via StorageClass
- Practical Labs
- Static provisioning techniques
- Dynamic provisioning techniques
Kubernetes Security
- Role-Based Access Control (RBAC)
- Service Accounts
- Security Contexts
- Resource Quotas
- Network Policy
- Practical Labs
- Implementing RBAC and Cluster Roles
- Managing Service Accounts
- Defining Security Contexts
- Enforcing Network Policy
Logging and Monitoring
- Working with Helm
- Using Operators
- Monitoring Cluster Components
- Setting up the GAP stack (Grafana, Alertmanager, Prometheus)
- Practical Labs
- Advanced Helm usage
- Deploying the GAP stack
Requirements
- A foundational grasp of cloud computing concepts
- Proficiency with the Linux command line
Target Audience
- DevOps engineers
- Software 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
