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AWS CodeCommit

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AWS CodeCommit vs Docker: What are the differences?

Introduction: In this comparison, we will outline the key differences between AWS CodeCommit and Docker, two popular tools in the field of software development and deployment.

  1. Deployment Scope: AWS CodeCommit is a managed source control service that focuses on version control and collaboration on codebase, suitable for teams working on a project. On the other hand, Docker is a containerization platform that allows developers to build, deploy, and run applications within containers, enabling consistent and reliable deployments across different environments.

  2. Use Cases: AWS CodeCommit is primarily used for managing source code and storing repositories, facilitating code collaboration and version control among team members. In contrast, Docker is commonly used for containerizing applications, enabling efficient deployment and scaling of software in a consistent and isolated environment.

  3. Flexibility: AWS CodeCommit provides a highly scalable and secure version control system with support for all types of code repositories. Docker, on the other hand, offers flexibility in deploying applications across diverse platforms and environments, ensuring consistency in operation regardless of the system infrastructure.

  4. Integration: AWS CodeCommit seamlessly integrates with other AWS services such as CodePipeline and CodeBuild, enabling a streamlined and automated CI/CD pipeline for development projects. Docker, on the contrary, integrates with various tools and platforms, making it compatible with different systems and software development workflows.

  5. Resource Consumption: AWS CodeCommit is a fully managed service where Amazon handles the infrastructure, maintenance, and backups, reducing the overhead for the development team. Docker, being a containerization platform, requires more resources in terms of system resources and configuration to efficiently run containers and manage deployments.

  6. Learning Curve: AWS CodeCommit is relatively easy to set up and use, especially for teams already familiar with AWS services, offering a simple and intuitive interface for version control. Docker, on the other hand, has a steeper learning curve due to its containerization concepts and configuration requirements, requiring users to understand container orchestration and management for effective deployment.

In Summary, the key differences between AWS CodeCommit and Docker lie in their deployment scope, use cases, flexibility, integration capabilities, resource consumption, and learning curve, catering to distinct needs in software development and deployment processes.

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Pros of AWS CodeCommit
Pros of Docker
  • 44
    Free private repos
  • 26
    IAM integration
  • 24
    Pay-As-You-Go Pricing
  • 20
    Amazon feels the most Secure
  • 19
    Repo data encrypted at rest
  • 11
    Faster deployments when using other AWS services
  • 11
    I can make repository by myself if I have AWS account
  • 8
    AWS CodePipeline integration
  • 6
    Codebuild integration
  • 6
    Does not support web hooks yet! :(
  • 4
    Cost Effective
  • 2
    No Git LFS! Dealbreaker for me
  • 2
    Integrated with AWS Ecosystem
  • 2
    Elastic Beanstalk Integration
  • 1
    Integration via SQS/SNS for events (replaces webhooks)
  • 1
    IAM
  • 1
    Open source friendly
  • 1
    Only US Region
  • 1
    Available in Ireland (Dublin) region
  • 1
    CodeDeploy Integration
  • 1
    Issue tracker
  • 1
    CodeCommit Trigger for an AWS Lambda Function
  • 0
    Ui
  • 823
    Rapid integration and build up
  • 691
    Isolation
  • 521
    Open source
  • 505
    Testa­bil­i­ty and re­pro­ducibil­i­ty
  • 460
    Lightweight
  • 218
    Standardization
  • 185
    Scalable
  • 106
    Upgrading / down­grad­ing / ap­pli­ca­tion versions
  • 88
    Security
  • 85
    Private paas environments
  • 34
    Portability
  • 26
    Limit resource usage
  • 17
    Game changer
  • 16
    I love the way docker has changed virtualization
  • 14
    Fast
  • 12
    Concurrency
  • 8
    Docker's Compose tools
  • 6
    Easy setup
  • 6
    Fast and Portable
  • 5
    Because its fun
  • 4
    Makes shipping to production very simple
  • 3
    Highly useful
  • 3
    It's dope
  • 2
    Very easy to setup integrate and build
  • 2
    HIgh Throughput
  • 2
    Package the environment with the application
  • 2
    Does a nice job hogging memory
  • 2
    Open source and highly configurable
  • 2
    Simplicity, isolation, resource effective
  • 2
    MacOS support FAKE
  • 2
    Its cool
  • 2
    Docker hub for the FTW
  • 2
    Super
  • 0
    Asdfd

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Cons of AWS CodeCommit
Cons of Docker
  • 12
    UI sucks
  • 4
    SLOW
  • 3
    No Issue Tracker
  • 2
    Bad diffing/no blame
  • 2
    NO LFS support
  • 2
    No fork
  • 2
    No webhooks
  • 1
    Can't download file from UI
  • 1
    Only time based triggers
  • 0
    Accident-prone UI
  • 8
    New versions == broken features
  • 6
    Unreliable networking
  • 6
    Documentation not always in sync
  • 4
    Moves quickly
  • 3
    Not Secure

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What is AWS CodeCommit?

CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.

What is Docker?

The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere

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What companies use Docker?
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What are some alternatives to AWS CodeCommit and Docker?
GitHub
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
GitLab
GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.
Bitbucket
Bitbucket gives teams one place to plan projects, collaborate on code, test and deploy, all with free private Git repositories. Teams choose Bitbucket because it has a superior Jira integration, built-in CI/CD, & is free for up to 5 users.
GitHub Enterprise
GitHub Enterprise lets developers use the tools they love across the development process with support for popular IDEs, continuous integration tools, and hundreds of third party apps and services.
SVN (Subversion)
Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects, from individuals to large-scale enterprise operations.
See all alternatives