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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.
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.
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.
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.
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.
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.
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.
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 CodeDeploy
- Automates code deployments17
- Backed by Amazon9
- Adds autoscaling lifecycle hooks7
- Git integration5
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 CodeDeploy
Cons of Docker
- New versions == broken features8
- Unreliable networking6
- Documentation not always in sync6
- Moves quickly4
- Not Secure3