WA3003 Docker and Kubernetes Fundamentals Training
Are you a developer, architect, or technical team lead without a foundational understanding of Kubernetes and Docker? To meet the demands of your workplace, you will need to have a strong grasp of the Kubernetes and Docker technologies in the development, production, and staging environments.
Online Virtual Class
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Kubernetes - 5 Things you NEED to know in 2022!
This 3-day intensive Docker and Kubernetes Training course offers a combination of theoretical learning and actional labs, so you have the opportunity to apply your knowledge in a hands-on setting. The course covers essential Kubernetes and Docker skills, as well as a basic introduction to Continuous Integration.
Register for Docker and Kubernetes Fundamentals Training today.
What you'll learn
- Learn the fundamental uses of container technology and the architectural principles of how to apply containers to technical challenges.
- Create containers with both packaged solutions and custom software.
- Use the Docker and Kubernetes CLI environments to deploy solutions in local (Docker) and cluster (Kubernetes) environments.
- Learn how stateful services – such as databases, streaming solutions , and other specialty applications – can be deployed in highly-available configurations with redundancy and service-discovery/load-balancing.
- Show how other components – can be used to integrate services within the Kubernetes platform.
- Explore how Docker and technologies such as Jenkins can be used to continuously test and build containers based on changes to source code.
Topics
- Docker and Linux Container Technology
- Docker in Action
- Managing Docker State
- Open Container Initiative and Container Runtime Interface
- Kubernetes Architecture
- Working with Kubernetes
- Kubernetes Workload
- Scheduling and Node Management
- Managing Networking
- Managing Persistent Storage
- Working with Helm
- Logging, Monitoring, and Troubleshooting
- Continuous Integration Fundamentals
Who should attend
Developers, system architects, technical team leads, systems administrators, and DevOps professionals who want to understand and use Kubernetes in cloud environments.
Prerequisites
Proficiency with the Linux Command Line Interface (CLI)
Broad understanding of Linux system administration: Linux file system, networking, and bash scripting.
Computer programming concepts and methodologies. Full code examples for the course are provided in the Python and Java programming languages.
Duration
3 days
Outline for Docker and Kubernetes Fundamentals Training
Chapter 1. Docker and Linux Container Technology: Introduction and Use-Cases
- Modern Infrastructure Terminology
- Virtualization
- Hypervisors
- Hypervisor Types
- Type 1 Hypervisors
- Type 2 Hypervisors
- Type 1 vs Type 2 Processing
- Paravirtualization
- Virtualization Qualities (1/2)
- Virtualization Qualities (2/2)
- Disadvantages of Virtualization
- Containerization
- Virtualization vs Containerization
- Where to Use Virtualization and Containerization
- Containerization: High-Level
- Popular Containerization Systems
- What are Linux Containers
- Docker
- OpenVZ
- Solaris Zones (Containers)
- Container Orchestration Tools
- Docker Swarm
- Kubernetes
- Mesos and Marathon
- Mesos and Marathon (contd.)
- Docker Use-Cases
- Microservices
- Microservices and Containers / Clusters
- Summary
Chapter 2. Docker in Action
- Docker Basics
- Where Can I Run Docker?
- Installing Docker Container Engine
- Docker Toolbox
- What is Docker?
- Docker Architecture
- Docker Architecture Diagram
- Docker Images
- Docker Containers
- Docker Integration
- Docker Services
- Docker Application Container Public Repository
- Docker Run Command
- Starting, Inspecting, and Stopping Docker Containers
- Docker Volume
- Dockerfile
- Docker Compose
- Using Docker Compose
- Dissecting docker-compose.yml
- Specifying services
- Dependencies between containers
- Injecting Environment Variables
- Summary
Chapter 3. Managing Docker State
- State and Data in Docker
- Volumes
- More About Volumes
- Uses for Volumes
- Working With Volumes
- Create Volume
- Use Volumes with Containers
- Bind Mounts
- Using Bind Mounts
- tmpfs Mounts
- Storing Data in the Container
- Storage Drivers
- Remote Data Storage
- Networking
- The Default Bridge Network
- User-Defined Bridge Networks
- Docker Network Commands
- Creating a User-Defined Bridge Network
- Summary
Chapter 4. Open Container Initiative and Container Runtime Interface
- Open Container Initiative (OCI)
- Docker
- Docker Engine Architecture
- runC
- containerd
- containerd Benefits
- CRI-O
- CRI-O Components
- Kubernetes and CRI-O
- Using Container Runtimes with Minikube
- Docker Runtime and Kubernetes
- Putting Things Together
- Summary
Chapter 5. Kubernetes Architecture
- Kubernetes Basics
- What is Kubernetes?
- Container Orchestration
- Architecture Diagram
- Components
- Kubernetes Cluster
- Master Node
- Kube-Control-Manager
- Nodes
- Pod
- Using Pods to Group Containers
- Label
- Label Syntax
- Label Selector
- Annotation
- Persistent Storage
- Resource Quota
- Interacting with Kubernetes
- Summary
Chapter 6. Working with Kubernetes
- Installation
- Startup
- Kubernetes Tools
- kubectl Command Line Interface
- API Proxy
- Dashboard
- Kubernetes Component Hierarchy
- Deployments
- Deployment Commands
- Updating Deployments
- Network Considerations
- Services
- Namespaces
- Labels
- Annotations
- Other Useful Commands
- Summary
Chapter 7. Kubernetes Workload
- Kubernetes Workload
- Kubernetes Workload (contd.)
- Managing Workloads
- Imperative commands
- Imperative Object Configuration
- Declarative Object Configuration
- Configuration File Schema
- Understanding API Version
- Obtaining API Versions
- Obtaining API Versions (contd.)
- Stateless Applications
- Sample Deployment Manifest File
- Working with Deployments
- Stateful Applications
- Sample Stateful Manifest File
- Sample Stateful Manifest File (Contd.)
- Working with StatefulSet
- Jobs
- Sample Job Manifest File
- Sample Job Manifest File (Contd.)
- Working with Batch Job
- DaemonSets
- DaemonSets (contd.)
- Sample Daemon Manifest File
- Rolling Updates
- Rolling Updates (Contd.)
- Summary
Chapter 8. Scheduling and Node Management
- Kubernetes Scheduler
- Kubernetes Scheduler Overview (contd.)
- Skip Kubernetes Scheduler
- Scheduling Process
- Scheduling Process - Predicates
- Scheduling Process - Priorities
- Scheduling Algorithm
- Kubernetes Scheduling Algorithm
- Scheduling Conflicts
- Controlling Scheduling
- Label Selectors
- Label Selectors (contd.)
- Label Selectors (Contd.)
- Node Affinity and Anti-affinity
- Node Affinity Example
- Node Antiaffinity Example
- Taints and Tolerations
- Taints and Tolerations (Contd.)
- Taints and Tolerations - Example
- Summary
Chapter 9. Managing Networking
- Kubernetes Networking Components
- The Kubernetes Network Model
- Networking Scenarios
- Container-Container Communication
- Pod-Pod Communication
- 1.3 Pod-Service Communication
- External-Service Communication
- Accessing Applications
- Useful Commands
- Container Network Interface (CNI)
- What is CNI’s Role?
- CNI Configuration Format
- Sample CNI Configuration
- Running the CNI Plugins
- Summary
Chapter 10. Managing Persistent Storage
- Storage Methods
- Container OS file system storage
- Docker Volumes
- Kubernetes Volumes
- K8S Volume Types
- Cloud Resource Types
- configMaps
- Creating configMaps from Literals
- Creating configMaps from files
- Using configMaps
- emptyDir
- Using an emptyDir Volume
- Other Volume Types
- Persistent Volumes
- Creating a Volume
- Persistent Volume Claim
- Persistent Volume
- Pod that uses Persistent Volume
- Secrets
- Creating Secrets from Files
- Creating Secrets from Literals
- Using Secrets
- Security Context
- Security Context Usage
- Summary
Chapter 11. Working with Helm
- What is Helm?
- Installing Helm
- Helm and KUBECONFIG
- Helm Features
- Helm Terminology
- Searching for Charts with helm CLI
- Adding Repositories
- Helm Hub - Search
- Helm Hub - Chart Page
- Installing a Chart
- Upgrading a Release
- Rolling Back a Release
- Creating Custom Charts
- Common Chart Files
- Helm Templates
- Installing A Custom Chart
- Packaging Custom Charts
- Summary
Chapter 12. Logging, Monitoring, and Troubleshooting
- Differences Between Logging and Monitoring
- Logging in Kubernetes
- Basic Logging
- Logging Agents
- Fluentd and Elastic Stack
- Monitoring with Prometheus
- Kubernetes and Prometheus - Metrics
- Alerting
- Debugging Pods
- Debugging Pods (Contd.)
- Debugging Nodes
- Debugging Replication Controllers and Services
- Upgrading Kubernetes
- Upgrade Process
- Determine Which Version to Upgrade To
- Upgrade kubeadm
- Upgrade Control Plane Node
- Upgrade kubelet and kubectl
- Upgrade Worker Nodes
- Recovering From a Failure State
- Summary
Chapter 13. Continuous Integration Fundamentals
- Jenkins Continuous Integration
- Jenkins Features
- Running Jenkins
- Downloading and Installing Jenkins
- Running Jenkins as a Stand-Alone Application
- Running Jenkins on an Application Server
- Installing Jenkins as a Windows Service
- Different types of Jenkins job
- Configuring Source Code Management(SCM)
- Working with Subversion
- Working with Subversion (cont'd)
- Working with Git
- Build Triggers
- Schedule Build Jobs
- Polling the SCM
- Maven Build Steps
- Configuring Jenkins to Access Kubernetes
- Jenkins Pipeline
- Jenkins Pipeline Output
- Installing Jenkins Plugins
- Summary
Lab Exercises
Lab 1. Creating a Docker Account and Obtain an Access Token
Lab 2. Managing Containers
Lab 3. Building Images
Lab 4. Dockerfiles
Lab 5. Getting Started with Docker Compose
Lab 6. Docker Volumes
Lab 7. Custom Network Management
Lab 8. Configuring Minikube/Kubernetes to Use a Custom Docker Account
Lab 9. Accessing the Kubernetes API
Lab 10. Working with Kubernetes Workloads
Lab 11. Scheduling and Node Management
Lab 12. Accessing Applications
Lab 13. Using Persistent Storage
Lab 14. Getting Started with Helm
Lab 15. Build CI Pipeline with Jenkins
Lab 16. Appendix: Deploying Stateful Services in Docker