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AWS CodeDeploy vs Docker: What are the differences?

Introduction

In this Markdown document, we will discuss the key differences between AWS CodeDeploy and Docker.

  1. Scalability: AWS CodeDeploy is a fully managed service that allows easy deployment of applications onto EC2 instances, on-premises instances, and even Lambda functions. It provides features like blue-green deployments and can integrate with other AWS services. On the other hand, Docker is a containerization platform that allows applications to be packaged into containers, providing consistent environments for development, testing, and deployment. Docker containers can be easily scaled horizontally to handle increased load, but the scaling process needs to be managed manually.

  2. Portability: AWS CodeDeploy is specifically designed to work within the AWS ecosystem, making it easy to deploy applications onto EC2 instances and integrate with AWS services. Docker, on the other hand, offers platform independence and allows applications to be packaged into containers that can run on any operating system or cloud environment. Docker containers provide consistent behavior regardless of the underlying infrastructure.

  3. Deployment Control: With AWS CodeDeploy, you have fine-grained control over the deployment process, allowing you to define deployment strategies and rollback plans. It also provides management capabilities to track the progress and health of your deployment. Docker, on the other hand, focuses on providing a consistent environment and encapsulating applications within containers. It doesn't provide advanced deployment features like blue-green deployments or rollback plans out of the box.

  4. Isolation: Docker provides stronger isolation between applications through the use of containerization. Each Docker container runs in its own isolated environment, ensuring that applications don't interfere with each other. AWS CodeDeploy, on the other hand, doesn't provide the same level of isolation as Docker. Applications deployed using CodeDeploy run directly on the underlying EC2 instances or on-premises servers, which can lead to potential conflicts between applications or dependencies.

  5. Flexibility: Docker offers a higher degree of flexibility when it comes to application deployment. With Docker, you can package your application along with its dependencies and configurations into a container, making it easy to reproduce the exact same environment across different systems. AWS CodeDeploy, while offering some flexibility in deploying applications to different environments, relies heavily on the underlying infrastructure and its associated dependencies.

  6. Ease of Use: AWS CodeDeploy simplifies the deployment process by providing a managed service that abstracts away some of the complexities involved in deploying applications. It integrates well with other AWS services and provides a user-friendly interface for managing deployments. Docker, on the other hand, requires more technical expertise to set up and manage. It provides a command-line interface and relies on configuration files like Dockerfiles and docker-compose.yml for defining and managing containers.

In Summary, AWS CodeDeploy is a managed deployment service within the AWS ecosystem, providing scalability, control, and integration with other AWS services. Docker, on the other hand, is a containerization platform that offers portability, flexibility, and stronger isolation between applications.

Decisions about AWS CodeDeploy and Docker
Florian Sager
IT DevOp at Agitos GmbH · | 3 upvotes · 414.1K views
Chose
LXDLXD
over
DockerDocker

lxd/lxc and Docker aren't congruent so this comparison needs a more detailed look; but in short I can say: the lxd-integrated administration of storage including zfs with its snapshot capabilities as well as the system container (multi-process) approach of lxc vs. the limited single-process container approach of Docker is the main reason I chose lxd over Docker.

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Pros of AWS CodeDeploy
Pros of Docker
  • 17
    Automates code deployments
  • 9
    Backed by Amazon
  • 7
    Adds autoscaling lifecycle hooks
  • 5
    Git integration
  • 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 CodeDeploy
Cons of Docker
    Be the first to leave a con
    • 8
      New versions == broken features
    • 6
      Unreliable networking
    • 6
      Documentation not always in sync
    • 4
      Moves quickly
    • 3
      Not Secure

    Sign up to add or upvote consMake informed product decisions

    What is AWS CodeDeploy?

    AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.

    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 AWS CodeDeploy?
    What companies use Docker?
    See which teams inside your own company are using AWS CodeDeploy or Docker.
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    What tools integrate with AWS CodeDeploy?
    What tools integrate with Docker?

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    What are some alternatives to AWS CodeDeploy and Docker?
    AWS CodePipeline
    CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.
    Jenkins
    In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
    Ansible
    Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.
    Chef
    Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.
    AWS CodeBuild
    AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages that are ready to deploy. With CodeBuild, you don’t need to provision, manage, and scale your own build servers.
    See all alternatives