Docker Essentials
- Description
- Curriculum
- FAQ
- Notice
- Reviews
- Docker and Kubernetes is one of the world’s most popular container and container orchestration tools. Established by the Cloud Native Computing Foundation (CNCF),
Developers often struggle when first encountering the cloud. Learning about distributed systems, becoming familiar with technologies such as containers and functions, and knowing how to put everything together can be daunting. With this practical guide, you’ll get up to speed on patterns for building cloud native applications and best practices for common tasks such as messaging, eventing, and DevOps.
Learning Objectives
The Learning Path will prepare you to understand and demonstrate your knowledge in each of the general domains of developing cloud native applications using docker and deploying and kubernetes
- Learn the fundamentals of cloud native applications
- Explore key cloud native communication, connectivity, and composition patterns
- Learn decentralized data management techniques
- Use event-driven architecture to build distributed and scalable cloud native applications
- Explore the most commonly used patterns for API management and consumption
- Examine some of the tools and technologies you’ll need for building cloud native systems
Intended Audience
This Learning Path is intended specifically for Docker and Kubernetes application developers. Anyone interested in learning how to work with Kubernetes will also benefit from this Learning Path.
Prerequisites
A solid understanding of containers, and Docker in particular, will be of value. If you are not comfortable with Docker and Kubernetes , you are encouraged to complete the Docker and Kubernetes Learning Path.
This Learning path helps you to learn from fundamentals to advanced Docker and Kubernetes running on Linux machines. You should be comfortable working with basic Linux commands.
Additional Documentation
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Before you begin -
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Building new cloud-native apps
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Is this book for you?
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Understanding Docker and running Hello World
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Connecting to a container like a remote computer
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Hosting a website in a container
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Understanding how Docker runs containers
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Building your own Docker images
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Writing your first Dockerfile
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Understanding Docker images and image layers
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Optimizing Dockerfiles to use the image layer cache
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Packaging applications from source code into Docker Images
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App walkthrough: Java source code
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App walkthrough: Node.js source code
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App walkthrough: Go source code
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Sharing images with Docker Hub and other registries
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Running and using your own Docker registry
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Using image tags effectively
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Using Docker volumes for persistent storage
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Running containers with Docker volumes
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Limitations of filesystem mounts
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Running multi-container apps with Docker Compose
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Running a multi-container application with Compose
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How Docker plugs containers together
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Application configuration in Docker Compose
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Supporting reliability with health checks and dependency checks
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Starting containers with dependency checks
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Defining health checks and dependency checks in Docker Compose
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Adding observability with containerized monitoring
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Exposing metrics from your application
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Running a Prometheus container to collect metrics
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Running a Grafana container to visualize metrics
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Running multiple environments with Docker Compose
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Using Docker Compose override files
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Injecting configuration with environment variables and secrets
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Reducing duplication with extension fields
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Building and testing applications with Docker and Docker Compose
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Capturing build settings with Docker Compose
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Writing CI jobs with no dependencies except Docker
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Understanding orchestration: Docker Swarm and Kubernetes
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Running applications as Docker Swarm services
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Managing network traffic in the cluster
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Understanding the choice between Docker Swarm and Kubernetes
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Deploying distributed applications as stacks in Docker Swarm
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Managing app configuration with config objects
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Managing confidential settings with secrets
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Storing data with volumes in the Swarm
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Automating releases with upgrades and rollbacks
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Configuring production rollouts with Compose
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Configuring service rollbacks
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Managing downtime for your cluster
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Configuring Docker for secure remote access and CI/CD
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Configuring Docker for secure remote access
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Adding continuous deployment to your CI pipeline
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Building Docker images that run anywhere: Linux, Windows, Intel, and Arm
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Building multi-arch images from one or more Dockerfiles
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Pushing multi-arch images to registries with manifests
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Building multi-arch images with Docker Buildx
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Optimizing your Docker images for size, speed, and security
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Choosing the right base images
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Minimizing image layer count and layer size
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Taking your multi-stage builds to the next level
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Application configuration management in containers
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Packaging config for every environment
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Loading configuration from the runtime
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Configuring legacy apps in the same way as new apps
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Writing and managing application logs with Docker
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Relaying logs from other sinks to stdout
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Collecting and forwarding container logs
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Managing your log output and collection
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Controlling HTTP traffic to containers with a reverse proxy
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Handling routing and SSL in the reverse proxy
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Improving performance and reliability with the proxy
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Using a cloud-native reverse proxy
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Asynchronous communication with a message
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Using a cloud-native message
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Adding new features with message handlers
Coming Soon
