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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.
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.
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.
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.
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.
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.
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.
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.
Pros of AWS CodeBuild
- Pay per minute7
- Parameter Store integration for passing secrets5
- Integrated with AWS4
- Streaming logs to Amazon CloudWatch3
- Bit bucket integration3
- GitHub Webhooks support2
- AWS Config and Config rule integration for compliance2
- VPC PrivateLinks to invoke service without internet2
- Windows/.NET support1
- Jenkins plugin integration1
- Ondemand scaling of build jobs1
- Scheduled builds with CloudWatch Events integration1
- Local build debug support1
- Native support for accessing Amazon VPC resources1
- Docker based build environment1
- Support for bringing custom Docker images1
- Fully managed (no installation/updates, servers to mai1
- PCI, SOC, ISO, HIPAA compliant1
- Full API/SDKs/CLI support1
- YAML based configuration1
- Great support (forums, premium support, SO, GitHub)1
- Perpetual free tier option (100 mins/month)1
- GitHub Enterprise support1
Pros of Docker
- Rapid integration and build up823
- Isolation692
- Open source521
- Testability and reproducibility505
- Lightweight460
- Standardization218
- Scalable185
- Upgrading / downgrading / application versions106
- Security88
- Private paas environments85
- Portability34
- Limit resource usage26
- Game changer17
- I love the way docker has changed virtualization16
- Fast14
- Concurrency12
- Docker's Compose tools8
- Easy setup6
- Fast and Portable6
- Because its fun5
- Makes shipping to production very simple4
- Highly useful3
- It's dope3
- Package the environment with the application2
- Super2
- Open source and highly configurable2
- Simplicity, isolation, resource effective2
- MacOS support FAKE2
- Its cool2
- Does a nice job hogging memory2
- Docker hub for the FTW2
- HIgh Throughput2
- Very easy to setup integrate and build2
- Asdfd0
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Cons of AWS CodeBuild
- Poor branch support2
Cons of Docker
- New versions == broken features8
- Unreliable networking6
- Documentation not always in sync6
- Moves quickly4
- Not Secure3