Need advice about which tool to choose?Ask the StackShare community!

AWS CodeBuild

378
485
+ 1
43
Docker

178.4K
143.4K
+ 1
3.9K
Add tool

AWS CodeBuild vs Docker: What are the differences?

Introduction

In this article, we will discuss the key differences between AWS CodeBuild and Docker. Both AWS CodeBuild and Docker are powerful tools that developers can utilize in their software development and deployment processes. However, there are significant differences between the two platforms that should be considered when choosing the appropriate solution for a particular project.

  1. Deployment Methodology: AWS CodeBuild is a fully managed build service provided by Amazon Web Services (AWS) that compiles source code, runs tests, and produces deployable artifacts. It follows a cloud-native approach where the entire build process occurs within the AWS infrastructure. On the other hand, Docker is a widely-used containerization platform that allows developers to package their applications and dependencies into lightweight, portable containers that can be deployed on any compatible host system. While AWS CodeBuild focuses on the build process, Docker emphasizes the packaging and deployment aspects.

  2. Infrastructure Management: With AWS CodeBuild, the underlying infrastructure required to perform the builds is completely abstracted. Developers only need to define their build specifications, and AWS takes care of provisioning and managing the build environment. In contrast, Docker provides a container runtime that abstracts the underlying host system, enabling developers to package applications and run them consistently across different environments. Docker requires developers to manage their infrastructure, including setting up and maintaining the host system or using container orchestration platforms like Kubernetes.

  3. Compatibility with Existing Workflows: AWS CodeBuild is well integrated into the AWS ecosystem and can seamlessly build applications using different programming languages, AWS services, and deployment targets. It can easily leverage AWS services like CodeCommit, CodePipeline, and Elastic Beanstalk for continuous integration and delivery. Docker, on the other hand, is a technology-agnostic platform that can be used with any programming language, framework, or infrastructure. It allows developers to build highly customizable and flexible workflows based on their specific requirements.

  4. Scalability and Resource Utilization: AWS CodeBuild offers automatic scaling capabilities based on the workload requirements. It can scale horizontally to handle large builds and parallelize the build process across multiple build agents. CodeBuild optimizes resource utilization by automatically provisioning additional build resources when needed and releasing them when idle. Docker also supports scalability through container orchestration platforms like Kubernetes or Docker Swarm. However, the scalability of Docker containers depends on the underlying infrastructure and the configuration of the container runtime.

  5. Isolation and Security: AWS CodeBuild provides isolation and security through the use of separate build environments for different projects. Each build runs in an isolated environment, ensuring that the build process does not interfere with other builds. AWS CodeBuild also integrates with AWS Identity and Access Management (IAM) for fine-grained control over user permissions and resource access. Docker provides isolation through containerization, where each application runs within its own container with its isolated filesystem and resources. Docker also provides security features like user namespaces, read-only containers, and customizable network configurations.

  6. Cost Structure: AWS CodeBuild follows a pay-as-you-go pricing model based on the number of build minutes and the amount of compute resources used. The pricing includes the build environment, code storage, and build minutes. Docker, being an open-source platform, provides more flexibility in terms of cost management. It allows developers to use existing infrastructure for running containers, which can help reduce costs. However, managing the infrastructure and scaling it efficiently can add operational overhead.

In Summary, AWS CodeBuild is a managed build service that abstracts the build process and provides seamless integration with AWS services, while Docker is a containerization platform that allows for custom workflows and compatibility with any language or infrastructure. The choice between the two depends on the project requirements, preferred deployment methodology, and the level of control and customization needed in the development and deployment processes.

Decisions about AWS CodeBuild and Docker
Florian Sager
IT DevOp at Agitos GmbH · | 3 upvotes · 478.5K 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.

See more
Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of AWS CodeBuild
Pros of Docker
  • 7
    Pay per minute
  • 5
    Parameter Store integration for passing secrets
  • 4
    Integrated with AWS
  • 3
    Streaming logs to Amazon CloudWatch
  • 3
    Bit bucket integration
  • 2
    GitHub Webhooks support
  • 2
    AWS Config and Config rule integration for compliance
  • 2
    VPC PrivateLinks to invoke service without internet
  • 1
    Windows/.NET support
  • 1
    Jenkins plugin integration
  • 1
    Ondemand scaling of build jobs
  • 1
    Scheduled builds with CloudWatch Events integration
  • 1
    Local build debug support
  • 1
    Native support for accessing Amazon VPC resources
  • 1
    Docker based build environment
  • 1
    Support for bringing custom Docker images
  • 1
    Fully managed (no installation/updates, servers to mai
  • 1
    PCI, SOC, ISO, HIPAA compliant
  • 1
    Full API/SDKs/CLI support
  • 1
    YAML based configuration
  • 1
    Great support (forums, premium support, SO, GitHub)
  • 1
    Perpetual free tier option (100 mins/month)
  • 1
    GitHub Enterprise support
  • 823
    Rapid integration and build up
  • 692
    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
    Package the environment with the application
  • 2
    Super
  • 2
    Open source and highly configurable
  • 2
    Simplicity, isolation, resource effective
  • 2
    MacOS support FAKE
  • 2
    Its cool
  • 2
    Does a nice job hogging memory
  • 2
    Docker hub for the FTW
  • 2
    HIgh Throughput
  • 2
    Very easy to setup integrate and build
  • 0
    Asdfd

Sign up to add or upvote prosMake informed product decisions

Cons of AWS CodeBuild
Cons of Docker
  • 2
    Poor branch support
  • 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 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.

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

Need advice about which tool to choose?Ask the StackShare community!

What companies use AWS CodeBuild?
What companies use Docker?
Manage your open source components, licenses, and vulnerabilities
Learn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with AWS CodeBuild?
What tools integrate with Docker?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

PythonDockerKubernetes+7
3
1231
PythonDockerKubernetes+14
12
2736
Jul 9 2019 at 7:22PM

Blue Medora

DockerPostgreSQLNew Relic+8
11
2460
DockerAmazon EC2Scala+8
6
2848
GitHubDockerReact+17
42
38299
What are some alternatives to AWS CodeBuild and Docker?
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.
AWS CodePipeline
CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.
Apache Maven
Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.
GitLab CI
GitLab offers a continuous integration service. If you add a .gitlab-ci.yml file to the root directory of your repository, and configure your GitLab project to use a Runner, then each merge request or push triggers your CI pipeline.
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.
See all alternatives