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Course Outline
Container Architecture
- Comparing Containers and Virtual Machines
- Analyzing Container Internals
- Container Management Frameworks
- Understanding OCI and CRI Standards
Container Orchestration
- Limitations of Traditional Container Management
- Kubernetes Architectural Overview
- Foundational Introduction
- Masters and Nodes
- Etcd Database
- Kube-apiserver
- Kubelet
- Kube-proxy
- Controller Manager
- Kube Scheduler
- Designing and Installing a Kubernetes Cluster
- Practical Labs
- Deploying a Multi-Node Kubernetes Cluster
Kubernetes Command-Line Utilities
- Imperative vs. Declarative Approaches
- Mastering Kubectl
- Using Krew
- Managing Namespaces (Kube ns)
- Context Management (Kube ctx)
- Practical Labs
- Kicking Off with Kubernetes
- Essential Kubectl Commands
- Professional Tooling Essentials
Core Kubernetes Concepts
- Managing Namespaces
- Pods and Multi-Container Pods
- Labels and Selectors
- Replication Controllers and ReplicaSets
- Deployments: Rolling Updates and Rollbacks
- ConfigMaps and Secrets Management
- Liveness and Readiness Probes
- Practical Labs
- Reviewing Core Kubernetes Concepts
- Executing Rolling Updates and Rollbacks
- Applying Labels and Selectors
- Implementing ConfigMaps and Secrets
- Configuring Liveness and Readiness
Kubernetes Networking
- Cluster-Wide Networking
- Pod-Level Networking
- Service Networking
- Implementing CoreDNS in Kubernetes
- Ingress Configuration
- Practical Labs
- Advanced Networking Scenarios
- Service Abstractions
- Configuring Ingress
Scheduling and Placement
- Manual Scheduling Strategies
- Taints and Tolerations
- Node Labels and Selectors
- Node Affinity Rules
- Static Pods
- DaemonSets
- Practical Labs
- Manual Scheduling Exercises
- Applying Taints and Tolerations
- Using Node Labels and Selectors
- Configuring Node Affinity
- Managing Static Pods
- Deploying DaemonSets
- Implementing Jobs and CronJobs
Kubernetes and Storage Management
- Persistent Volumes
- Persistent Volume Claims
- Dynamic Provisioning via StorageClass
- Practical Labs
- Static Provisioning Techniques
- Dynamic Provisioning Workflows
Kubernetes Security
- Role-Based Access Control (RBAC)
- Service Accounts
- Security Contexts
- Resource Quotas
- Network Policies
- Practical Labs
- Configuring RBAC and Cluster Roles
- Managing Service Accounts
- Defining Security Contexts
- Implementing Network Policies
Logging and Monitoring
- Using Helm
- Operators Pattern
- Monitoring Cluster Components
- Setting up the GAP Stack (Grafana, Alertmanager, Prometheus)
- Practical Labs
- Advanced Helm Usage
- Deploying the GAP Stack
Requirements
- A solid grasp of cloud computing principles
- Proficiency with the Linux command-line interface
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
