StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. AWS CodeDeploy vs AWS OpsWorks

AWS CodeDeploy vs AWS OpsWorks

OverviewComparisonAlternatives

Overview

AWS OpsWorks
AWS OpsWorks
Stacks196
Followers222
Votes51
AWS CodeDeploy
AWS CodeDeploy
Stacks380
Followers624
Votes38

AWS CodeDeploy vs AWS OpsWorks: What are the differences?

Introduction

AWS CodeDeploy and AWS OpsWorks are both deployment services provided by Amazon Web Services. While they both aim to simplify the deployment process, there are key differences between the two. This article will outline and compare the main differences between AWS CodeDeploy and AWS OpsWorks.

  1. Deployment Target Type: AWS CodeDeploy is primarily designed to deploy applications to any type of compute instance, including EC2 instances, on-premises servers, and Lambda functions. On the other hand, AWS OpsWorks focuses more on automating infrastructure management and is primarily used to deploy and manage applications on EC2 instances.

  2. Deployment Model: AWS CodeDeploy works on a code-centric model, where it deploys new versions of the application code. It offers flexible deployment options such as in-place updates and blue/green deployments. On the other hand, AWS OpsWorks follows a stack-based model, where the entire stack, including the operating system and application code, is versioned and deployed together.

  3. Level of Abstraction: AWS CodeDeploy operates at a lower level of abstraction, providing fine-grained control over the deployment process. It allows custom scripts and hooks to be executed during different stages of the deployment. In contrast, AWS OpsWorks provides a higher level of abstraction and automates tasks such as instance provisioning, software configuration, and application deployment.

  4. Workflow and Automation: AWS CodeDeploy allows for fully customizable and scripted deployment workflows, allowing for more granular control and automation. It integrates well with other AWS services like CloudWatch and CloudFormation. AWS OpsWorks, on the other hand, follows an opinionated workflow and automates many common deployment tasks out-of-the-box, making it easier to get started but providing less flexibility for customization.

  5. Auto Scaling: AWS CodeDeploy provides built-in support for auto-scaling, allowing applications to scale based on predefined scaling policies. It integrates with AWS Auto Scaling to automatically adjust the capacity of instances during deployments. AWS OpsWorks also supports auto-scaling, but it uses AWS OpsWorks Stacks and Layer-based scaling instead.

  6. Pricing: Both AWS CodeDeploy and AWS OpsWorks have different pricing models. AWS CodeDeploy uses a pay-as-you-go pricing model based on the number of instances deployed to, while AWS OpsWorks has a more complex pricing structure that takes into account the number of instances, stack layers, and data transfer.

In summary, AWS CodeDeploy is a versatile deployment service that focuses on deploying applications to various compute instances, offering flexible deployment options and fine-grained control. AWS OpsWorks, on the other hand, is an infrastructure management service that automates common deployment tasks and is more focused on EC2 instance management and application deployment.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

AWS OpsWorks
AWS OpsWorks
AWS CodeDeploy
AWS CodeDeploy

Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component

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.

AWS OpsWorks lets you model the different components of your application as layers in a stack, and maps your logical architecture to a physical architecture. You can see all resources associated with your application, and their status, in one place.;AWS OpsWorks provides an event-driven configuration system with rich deployment tools that allow you to efficiently manage your applications over their lifetime, including support for customizable deployments, rollback, partial deployments, patch management, automatic instance scaling, and auto healing.;AWS OpsWorks lets you define template configurations for your entire environment in a format that you can maintain and version just like your application source code.;AWS OpsWorks supports any software that has a scripted installation. Because OpsWorks uses the Chef framework, you can bring your own recipes or leverage hundreds of community-built configurations.
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
196
Stacks
380
Followers
222
Followers
624
Votes
51
Votes
38
Pros & Cons
Pros
  • 32
    Devops
  • 19
    Cloud management
Pros
  • 17
    Automates code deployments
  • 9
    Backed by Amazon
  • 7
    Adds autoscaling lifecycle hooks
  • 5
    Git integration
Integrations
No integrations available
CircleCI
CircleCI
Codeship
Codeship
GitHub
GitHub
Jenkins
Jenkins
Solano CI
Solano CI
Travis CI
Travis CI
Amazon EC2
Amazon EC2
Ansible
Ansible
Chef
Chef
Puppet Labs
Puppet Labs

What are some alternatives to AWS OpsWorks, AWS CodeDeploy?

Ansible

Ansible

Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.

Chef

Chef

Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.

Terraform

Terraform

With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.

Capistrano

Capistrano

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

Puppet Labs

Puppet Labs

Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.

Salt

Salt

Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

Octopus Deploy

Octopus Deploy

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

Fabric

Fabric

Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.

Distelli

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.

cPanel

cPanel

It is an industry leading hosting platform with world-class support. It is globally empowering hosting providers through fully-automated point-and-click hosting platform by hosting-centric professionals

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana