Overview

While many developers are well-versed in the fundamental aspects of Docker, such as building images and creating containers, several lesser-known features hold immense value in the deployment process.

Recently, I delved deeper into Docker’s capabilities and discovered some additional important and useful facets. Some of these features may prove beneficial during deployment, while others simply serve as good-to-know pieces of information.

In this article, we will explore some advanced Docker features and facts that transcend the basics, offering the potential to enhance application performance significantly.

Let’s dive into the world of Docker 🐋 to uncover these important insights.

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Introduction

Docker is a platform that enables developers to automate the deployment and management of applications within lightweight, isolated containers. Containers only include necessary dependencies, configurations, and library files required to run an application.

Docker provides a consistent and efficient way to build, distribute, and run applications across different environments. It provides many features like Multi-stage builds, Content trust, and Compose profiling which can be helpful to us when building the applications.

Let’s see all of them one by one.

Multi-Stage Builds

When building a docker image, the docker system needs multiple files to build the final output. To build an efficient Docker image, sometimes we want to eliminate some of those files in the final build.

You can achieve the above scenario by using a multi-stage build process.

Multi-stage builds allow you to create intermediate images(In the below example, builder stage) during the Docker build process.

These intermediate images can be used to compile code, build dependencies, and generate artifacts, which are then copied into the final image. This helps optimize the size of the final image by excluding unnecessary build tools and artifacts.

For the multi-stage build, the Dockerfile should contain multiple FROM statements. Each of these FROM statements can COPY the artifacts from the previous stage.

The build stage is named by appending AS “build_stage_name” .

Example

# Stage 1: Build assets

FROM node:21 as builder
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci
COPY . .
RUN npm run build

# Stage 2: Final image, will copy artifacts from builder
FROM nginx:1.21
COPY --from=builder /app/build /usr/share/nginx/html

Advantage

• By using the Multi-stage build process we can reduce the final image size and improve the overall build performance.

BuildKit

Docker BuildKit is an improved docker backend that has enhanced build capabilities, improved performance, storage management, and some additional features like Parallelize build, Skip executing unused build stages, Transferring only the changed files, and many more…

It’s available in Docker version 18.09 and later and comes as the default builder from version 23.0.

Example

We can enable/disable it using the following command in the older versions.

DOCKER_BUILDKIT=1 docker build -t newApp:latest .

Advantage

• BuildKit offers several benefits over the default Docker builder, including parallel builds, cache mounting, and advanced build optimizations.
• It can significantly speed up the build process, especially for complex projects with multiple dependencies and large codebases.

Docker Compose Profiles

This enables us to manage various application environments using a single compose file. It allows us to define different sets of services and configurations within the same compose file.

We can easily switch between different environments or deployment scenarios without duplicating compose files.

Example

Consider a web application that requires both staging and production environments with the same configuration but different database versions.

Here’s the solution to this using profiles:

version: '3.9'

services:
  db:
    image: postgres:15
    # Production profile
    profiles:
      - production

  db:
    image: postgres:13
    # Staging profile
    profiles:
      - development

profiles:
  development:
    variables:
      - NODE_ENV=development
      - DB_HOST=dev_db

  production:
    variables:
      - NODE_ENV=production
      - DB_HOST=prod_db

We can run this with,

docker compose up --profile=development

Advantage

• Docker Compose profiles are handy when you need to manage different configurations for various environments or deployment scenarios within a single Compose file.
• It helps avoid duplicating the entire configuration and simplifies managing multiple files.

Docker Content Trust(DCT)

In today’s world of digitalization, security is the most necessary feature for any type of data. The same thing also can apply to docker images. We use the docker engine to push or pull data from public or private registries.

Docker Content Trust (DCT) provides the ability to use digital signatures for data sent to and received from remote Docker registries. These signatures allow client-side or runtime verification of the integrity and publisher of specific image tags.

Using DCT, the Publisher can sign their docker images, and the Consumer can use those signed images without worrying about security.

Example

Publishers can follow the Sign docker image with DCT steps to generate signed images.

Consumers can use only signed images if DCT is enabled in their docker system. DCT can be enabled using the following command.

export DOCKER_CONTENT_TRUST=1

// or

docker pull node:20 --disable-content-trust=false

Advantage

• DCT provides an extra layer of security for container images.
• It helps protect against attacks where malicious or tampered images are distributed through unauthorized or compromised registries.

SBOM for Docker images (Experimental)

SBOM (Software Bill of Materials) is a document that provides a detailed inventory of the components and dependencies used in a software application.

In the case of docker, it includes details of the given image like operating system packages and other dependencies. It also includes a subset of this information or even more details, like the versions of components and their source.

Example

The below command is used to see the software details of any docker image

docker sbom image:tag

You can get detailed information on docker SBOM.

Advantage

• It allows getting detailed information about the docker image’s internal software using SBOM.

Official Go SDK

Docker provides an official Go SDK called docker/docker that allows developers to interact with the Docker Engine API programmatically using Go.

The SDK provides a set of Go packages that simplify tasks such as creating, managing, and monitoring Docker containers, images, networks, and volumes.

Note: Docker has unofficial SDKs for other languages too.

Example

Prerequisites: Configure the docker server URL using the DOCKER_HOST env variable. You can learn more about docker env variables here.

package main

import (
 "context"
 "fmt"
 "github.com/docker/docker/api/types"
 "github.com/docker/docker/client"
)

func main() {
 // Create a new Docker client
 cli, err := client.NewClientWithOpts(client.FromEnv)
 if err != nil {
  panic(err)
 }

 // List running containers
 containers, err := cli.ContainerList(context.Background(), types.ContainerListOptions{All: true})
 if err != nil {
  panic(err)
 }

 // Print container details
 for _, container := range containers {
  fmt.Printf("Container ID: %s\n", container.ID)
  fmt.Println("-------------------")
 }
}

The above code is similar to the docker ps command.

Advantage

• The Docker Go SDK enables seamless integration, programmatic control, improved performance, and extensive functionality for interacting with Docker resources within Go applications.

Conclusion

The latest features in Docker, such as

• Multi-Stage Builds,
• BuildKit,
• Docker Compose Profiles,
• Docker Content Trust, and the official Go SDK

further, enhance the platform’s capabilities and provide developers with powerful tools to streamline their workflows, improve performance, enhance security, and seamlessly integrate Docker into their applications.

If you have any suggestions and feedback, drop them in the comment section. Also, share your knowledge about the docker.

That’s it for today. Keep exploring for the best. 👐

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