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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.
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.
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.
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.
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.
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.
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.
Pros of AWS CodeCommit
- Free private repos44
- IAM integration26
- Pay-As-You-Go Pricing24
- Amazon feels the most Secure20
- Repo data encrypted at rest19
- Faster deployments when using other AWS services11
- I can make repository by myself if I have AWS account11
- AWS CodePipeline integration8
- Codebuild integration6
- Does not support web hooks yet! :(6
- Cost Effective4
- No Git LFS! Dealbreaker for me2
- Integrated with AWS Ecosystem2
- Elastic Beanstalk Integration2
- Integration via SQS/SNS for events (replaces webhooks)1
- IAM1
- Open source friendly1
- Only US Region1
- Available in Ireland (Dublin) region1
- CodeDeploy Integration1
- Issue tracker1
- CodeCommit Trigger for an AWS Lambda Function1
- Ui0
Pros of Docker
- Rapid integration and build up823
- Isolation691
- 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
- Very easy to setup integrate and build2
- HIgh Throughput2
- Package the environment with the application2
- Does a nice job hogging memory2
- Open source and highly configurable2
- Simplicity, isolation, resource effective2
- MacOS support FAKE2
- Its cool2
- Docker hub for the FTW2
- Super2
- Asdfd0
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Cons of AWS CodeCommit
- UI sucks12
- SLOW4
- No Issue Tracker3
- Bad diffing/no blame2
- NO LFS support2
- No fork2
- No webhooks2
- Can't download file from UI1
- Only time based triggers1
- Accident-prone UI0
Cons of Docker
- New versions == broken features8
- Unreliable networking6
- Documentation not always in sync6
- Moves quickly4
- Not Secure3