AWS CodeDeploy vs Docker Swarm

Overview

AWS CodeDeploy

Stacks380

Followers624

Votes38

Docker Swarm

Stacks779

Followers990

Votes282

AWS CodeDeploy vs Docker Swarm: What are the differences?

Introduction: AWS CodeDeploy and Docker Swarm are two popular tools used in DevOps for deployment and management of applications. However, there are key differences between them that make each better suited for different scenarios.

Architecture: AWS CodeDeploy is a fully managed service provided by Amazon Web Services for deploying applications to a variety of compute services such as Amazon EC2 instances, AWS Fargate, and on-premises servers. On the other hand, Docker Swarm is an open-source container orchestration tool that allows users to deploy and manage Docker containers across a cluster of machines.
Scope and Focus: AWS CodeDeploy focuses primarily on automating the deployment process of applications to different environments with features like blue/green deployments and canary deployments. In contrast, Docker Swarm is focused on container orchestration and managing the scheduling and scaling of containers within a cluster of machines.
Portability: Docker Swarm offers more portability as it is not tied to a specific cloud provider and can be used on any infrastructure that supports Docker containers. AWS CodeDeploy, being a service provided by AWS, is specifically designed to work with AWS services and may not be as portable across different cloud providers or on-premises environments.
Resource Management: Docker Swarm provides more granular control over resource management such as CPU and memory allocation for containers within a cluster. In comparison, AWS CodeDeploy delegates resource provisioning and management to AWS services, which may limit the level of control users have over resource allocation.
Community Support: Docker Swarm benefits from a large community of developers contributing to its open-source development, providing a wide range of resources and documentation for users. AWS CodeDeploy, being a proprietary service, may have more limited community support and resources available for troubleshooting and learning.
Integration with Other Tools: AWS CodeDeploy seamlessly integrates with other AWS services such as AWS CloudFormation, AWS CodePipeline, and AWS Lambda to provide a comprehensive DevOps toolchain for deployment automation and continuous delivery. Docker Swarm, while versatile, may require additional third-party tools or custom scripting for integration with other DevOps tools and services.

In Summary, AWS CodeDeploy is a managed service for automated application deployment on AWS infrastructure, while Docker Swarm is an open-source container orchestration tool focused on managing and scaling Docker containers across a cluster of machines.

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Advice on AWS CodeDeploy, Docker Swarm

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

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Our whole DevOps stack consists of the following tools:

@{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
Respectively @{Git}|tool:1046| as revision control system
@{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
@{Visual Studio Code}|tool:4202| as IDE
@{CircleCI}|tool:190| for continuous integration (automatize development process)
@{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
@{SonarQube}|tool:2638| as quality gate
@{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
@{VirtualBox}|tool:774| for operating system simulation tests
@{Kubernetes}|tool:1885| as cluster management for docker containers
@{Heroku}|tool:133| for deploying in test environments
@{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
@{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
@{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
@{PostgreSQL}|tool:1028| as preferred database system
@{Redis}|tool:1031| as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
Scalability: All-in-one framework for distributed systems.
Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.

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Detailed Comparison

AWS CodeDeploy	Docker Swarm
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.	Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.
AWS CodeDeploy fully automates your code deployments, allowing you to deploy reliably and rapidly;AWS CodeDeploy helps maximize your application availability by performing rolling updates across your Amazon EC2 instances and tracking application health according to configurable rules;AWS CodeDeploy allows you to easily launch and track the status of your deployments through the AWS Management Console or the AWS CLI;AWS CodeDeploy is platform and language agnostic and works with any application. You can easily reuse your existing setup code	-
Statistics
Stacks 380	Stacks 779
Followers 624	Followers 990
Votes 38	Votes 282
Pros & Cons
Pros 17 Automates code deployments 9 Backed by Amazon 7 Adds autoscaling lifecycle hooks 5 Git integration	Pros 55 Docker friendly 46 Easy to setup 40 Standard Docker API 38 Easy to use 23 Native Cons 9 Low adoption
Integrations
CircleCI Codeship GitHub Jenkins Solano CI Travis CI Amazon EC2 Ansible Chef Puppet Labs	Docker

What are some alternatives to AWS CodeDeploy, Docker Swarm?

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Octopus Deploy

Octopus Deploy helps teams to manage releases, automate deployments, and operate applications with automated runbooks. It's free for small teams.

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

Distelli

Build, test, and deploy your code from GitHub and BitBucket (or no repository at all) to any server in the world regardless of provider. Distelli customers iterate and ship faster with complete transparency.

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Related Comparisons

AWS CodeDeploy vs Docker Swarm: What are the differences?

Architecture: AWS CodeDeploy is a fully managed service provided by Amazon Web Services for deploying applications to a variety of compute services such as Amazon EC2 instances, AWS Fargate, and on-premises servers. On the other hand, Docker Swarm is an open-source container orchestration tool that allows users to deploy and manage Docker containers across a cluster of machines.
Scope and Focus: AWS CodeDeploy focuses primarily on automating the deployment process of applications to different environments with features like blue/green deployments and canary deployments. In contrast, Docker Swarm is focused on container orchestration and managing the scheduling and scaling of containers within a cluster of machines.
Portability: Docker Swarm offers more portability as it is not tied to a specific cloud provider and can be used on any infrastructure that supports Docker containers. AWS CodeDeploy, being a service provided by AWS, is specifically designed to work with AWS services and may not be as portable across different cloud providers or on-premises environments.
Resource Management: Docker Swarm provides more granular control over resource management such as CPU and memory allocation for containers within a cluster. In comparison, AWS CodeDeploy delegates resource provisioning and management to AWS services, which may limit the level of control users have over resource allocation.
Community Support: Docker Swarm benefits from a large community of developers contributing to its open-source development, providing a wide range of resources and documentation for users. AWS CodeDeploy, being a proprietary service, may have more limited community support and resources available for troubleshooting and learning.
Integration with Other Tools: AWS CodeDeploy seamlessly integrates with other AWS services such as AWS CloudFormation, AWS CodePipeline, and AWS Lambda to provide a comprehensive DevOps toolchain for deployment automation and continuous delivery. Docker Swarm, while versatile, may require additional third-party tools or custom scripting for integration with other DevOps tools and services.

AWS CodeDeploy vs Docker Swarm

Overview