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 Duration 28 hours

Course Outline

Container Architecture

  • Comparison of Containers versus Virtual Machines
  • Analyzing Container Structure
  • Container Management Frameworks
  • OCI and CRI Standards

Container Orchestration

  • Limitations of Container Management Systems
  • Overview of Kubernetes Architecture
  • Fundamental Introduction
  • Masters and Nodes
  • Etcd
  • Kube-apiserver
  • Kubelet
  • Kube-proxy
  • Controller Manager
  • Kube Scheduler
  • Designing and Installing a Kubernetes Cluster
  • Practical Labs
  • Installation of Multi-Node Kubernetes Clusters

Kubernetes Command-Line Utilities

  • Imperative vs. Declarative Approaches
  • Kubectl
  • Krew
  • Kube ns
  • kube ctx
  • Practical Labs
  • Initiating Kubernetes Interactions
  • Essential Kubectl Commands
  • Professional Toolsets

Kubernetes Fundamental Concepts

  • 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
  • Exploring Kubernetes Core Concepts
  • Executing Rolling Updates and Rollbacks
  • Utilizing Labels and Selectors
  • Managing ConfigMaps and Secrets
  • Implementing Liveness and Readiness Checks

Kubernetes Networking

  • Cluster-Level Networking
  • Pod-Level Networking
  • Service-Level Networking
  • CoreDNS within Kubernetes
  • Ingress Configuration
  • Practical Labs
  • Network Configuration
  • Service Definitions
  • Ingress Management

Scheduling Strategies

  • Manual Scheduling Techniques
  • Taints and Tolerations
  • Node Labels and Selectors
  • Node Affinity Rules
  • Static Pods
  • DaemonSets
  • Practical Labs
  • Applying Manual Scheduling
  • Configuring Taints and Tolerations
  • Using Node Labels and Selectors
  • Setting Node Affinity
  • Managing Static Pods
  • Implementing DaemonSets
  • Jobs and Cronjobs

Storage in Kubernetes

  • Persistent Volumes
  • Persistent Volume Claims
  • Dynamic Provisioning via StorageClass
  • Practical Labs
  • Static Provisioning Methods
  • Dynamic Provisioning Methods

Kubernetes Security

  • Role-Based Access Control (RBAC)
  • Service Accounts
  • Security Contexts
  • Resource Quotas
  • Network Policies
  • Practical Labs
  • RBAC and Cluster Roles Implementation
  • Managing Service Accounts
  • Defining Security Contexts
  • Enforcing Network Policies

Logging and Monitoring

  • Helm Package Manager
  • Operators Framework
  • Monitoring Cluster Components
  • Deploying the GAP Stack: Grafana, Alertmanager, and Prometheus
  • Practical Labs
  • Advanced Helm Usage
  • Configuration of the GAP Stack

Requirements

  • A solid grasp of cloud computing principles.
  • Proficiency with the Linux command line.

Target Audience

  • DevOps engineers
  • Software developers

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