When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
Introduction to Docker and Kubernetes
Docker is a containerization platform that allows you to package your application and its dependencies into a single image. This makes deploying your application to any environment easy, regardless...
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$1,395 USD
Course Code
WA3367
Duration
2 days
Available Formats
Classroom, Virtual
Docker is a containerization platform that allows you to package your application and its dependencies into a single image. This makes deploying your application to any environment easy, regardless of the underlying infrastructure. Kubernetes is an open-source system for automating the deployment, scaling, and management of containerized applications. It provides a way to orchestrate multiple containers running on a cluster of hosts. This Docker and Kubernetes training course teaches students how to use these technologies to create and deploy applications quickly and easily.
Skills Gained
- Understand Docker basics, including architecture and integration
- Work with virtualization and containerization
- Dive deep into Kubernetes' architecture, clusters, and pods
- Master storage, security, and routing
- Deploy and manage workloads
- Understand Kubernetes' orchestration and use labels and affinities
- Debug deployments
Who Can Benefit
This course is designed for developers and system administrators.
Prerequisites
- Some familiarity with Linux
- Basic programming skills
Course Details
Outline
Chapter 1 - 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 2 - What is Kubernetes
- Modern Infrastructure Terminology
- Virtualization
- Disadvantages of Virtualization
- Containerization
- Virtualization vs Containerization
- Where to Use Virtualization and Containerization
- Popular Containerization Systems
- What are Linux Containers?
- Container Orchestration Tools
- Docker Swarm
- Kubernetes
- Microservices
- Microservices and Containers / Clusters
- Summary
Chapter 3 - Kubernetes – From the Firehose
- Kubernetes Basics
- What is Kubernetes?
- Container Orchestration
- Kubernetes Architecture
- Kubernetes Concepts
- Cluster and Namespace
- Nodes
- Master
- Pod
- Using Pods to Group Containers
- Label
- Label Syntax
- Annotation
- Label Selector
- Replication Controller and Replica Set
- Service
- Storage Volume
- Secret
- Resource Quota
- Authentication and Authorization
- Routing Concepts
- Docker Registry
- Summary
Chapter 4 - Kubernetes Workload
- Kubernetes Workload
- Managing Workloads
- Imperative commands
- Imperative Object Configuration
- Declarative Object Configuration
- Configuration File Schema
- Understanding API Version
- Understanding API Version
- Obtaining API Versions
- Stateless Applications
- Sample Deployment Manifest File
- Working with Deployments
- Stateful Applications
- Sample Stateful Manifest File
- Working with StatefulSet
- Jobs
- Sample Job Manifest File
- Working with Batch Job
- DaemonSets
- DaemonSets (contd.)
- Sample Daemon Manifest File
- Rolling Updates
- Summary
Chapter 5 - Scheduling and Node Management
- Kubernetes Scheduler Overview
- Trusting the Kubernetes Scheduler
- Scheduling Process
- Scheduling Process - Predicates
- Scheduling Process - Priorities
- Scheduling Algorithm
- Kubernetes Scheduling Algorithm
- Scheduling Conflicts
- Controlling Scheduling
- Label Selectors
- Label Selectors (Contd.)
- Node Affinity and Anti-affinity
- Node Affinity Example
- Node Antiaffinity Example
- Taints and Tolerations
- Taints and Tolerations - Example
- 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 - 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 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
Appendix 1 - 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
Appendix 2 - 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
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. Docker Volumes
- Lab 6. Configuring Minikube/Kubernetes to Use a Custom Docker Account
- Lab 7. Accessing the Kubernetes API
- Lab 8. Working with Kubernetes Workloads
- Lab 9. Accessing Applications
- Lab 10. Bonus Lab: Scheduling and Node Management
- Lab 11. Bonus Lab: Using Persistent Storage
