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  1. Stackups
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  4. Container Tools
  5. Docker Compose vs Hadolint

Docker Compose vs Hadolint

OverviewDecisionsComparisonAlternatives

Overview

Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K
Hadolint
Hadolint
Stacks16
Followers28
Votes0

Docker Compose vs Hadolint: What are the differences?

Introduction: In the world of containerization and container image creation, Docker Compose and Hadolint are two tools that serve different but essential purposes. Understanding the key differences between them can help in making informed choices while working with Docker images and containers.

  1. Purpose: Docker Compose is a tool used for defining and running multi-container Docker applications. It allows you to manage multiple containers as a single application, defining configurations for each container in a YAML file. On the other hand, Hadolint is a tool used for linting Dockerfiles. It checks Dockerfiles for best practices and potential issues, providing actionable feedback to improve the Docker image quality.

  2. Ease of Use: Docker Compose is focused on simplifying the management of multi-container applications, providing a clear and user-friendly interface for defining and running containers together. Hadolint, on the other hand, is a command-line tool that requires running it manually against individual Dockerfiles for linting purposes. It is more developer-oriented and may require additional steps to integrate into the workflow.

  3. Scalability: Docker Compose is well-suited for orchestrating complex applications with multiple containers and services, making it ideal for large-scale deployments. Hadolint, on the other hand, is more focused on the quality of individual Dockerfiles and may not directly address scalability concerns for managing multiple containers in a distributed environment.

  4. Feedback Loop: When using Docker Compose, developers can quickly spin up a multi-container application for testing and development, receiving immediate feedback on how the containers interact and function together. In contrast, Hadolint provides feedback on the adherence to best practices and potential issues within Dockerfiles, helping to improve the image creation process but not the runtime behavior.

  5. Integration: Docker Compose integrates seamlessly with Docker Engine, providing a comprehensive solution for defining, running, and managing containerized applications. Hadolint, on the other hand, is a separate tool that needs to be integrated into the Dockerfile development workflow, requiring additional steps for incorporating linting into the image creation process.

In Summary, understanding the distinctions between Docker Compose and Hadolint can guide developers in effectively managing multi-container applications with Docker Compose while ensuring the quality and best practices in Dockerfile creation with Hadolint.

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Advice on Docker Compose, Hadolint

Michael
Michael

CEO at asencis Ltd

Jan 5, 2021

Needs advice

We develop rapidly with docker-compose orchestrated services, however, for production - we utilise the very best ideas that Kubernetes has to offer: SCALE! We can scale when needed, setting a maximum and minimum level of nodes for each application layer - scaling only when the load balancer needs it. This allowed us to reduce our devops costs by 40% whilst also maintaining an SLA of 99.87%.

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Comments

Detailed Comparison

Docker Compose
Docker Compose
Hadolint
Hadolint

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

A smarter Dockerfile linter that helps you build best practice Docker images. The linter is parsing the Dockerfile into an AST and performs rules on top of the AST. It is standing on the shoulders of Shellcheck to lint the Bash code inside RUN instructions.

Statistics
GitHub Stars
36.4K
GitHub Stars
-
GitHub Forks
5.5K
GitHub Forks
-
Stacks
22.3K
Stacks
16
Followers
16.5K
Followers
28
Votes
501
Votes
0
Pros & Cons
Pros
  • 123
    Multi-container descriptor
  • 110
    Fast development environment setup
  • 79
    Easy linking of containers
  • 68
    Simple yaml configuration
  • 60
    Easy setup
Cons
  • 9
    Tied to single machine
  • 5
    Still very volatile, changing syntax often
No community feedback yet
Integrations
Docker
Docker
Docker
Docker

What are some alternatives to Docker Compose, Hadolint?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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