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  1. Stackups
  2. DevOps
  3. Testing Frameworks
  4. Beta Testing Mobile App Distribution
  5. AWS CodeDeploy vs DryDock

AWS CodeDeploy vs DryDock

OverviewComparisonAlternatives

Overview

DryDock
DryDock
Stacks5
Followers9
Votes0
GitHub Stars432
Forks34
AWS CodeDeploy
AWS CodeDeploy
Stacks383
Followers624
Votes38

AWS CodeDeploy vs DryDock: What are the differences?

Developers describe AWS CodeDeploy as "Coordinate application deployments to Amazon EC2 instances". 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. On the other hand, DryDock is detailed as "DryDock enables rapid-deployment of internal product releases on demand while remaining on a supported internal update track". DryDock is an open source iOS application that we built at Venmo to manage and install all of our internal builds, allow employees to download new experimental apps at any time and to easily share builds designed for a broader audience with their friends.

AWS CodeDeploy and DryDock are primarily classified as "Deployment as a Service" and "Beta Testing / Mobile App Distribution" tools respectively.

Some of the features offered by AWS CodeDeploy are:

  • 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

On the other hand, DryDock provides the following key features:

  • Rapidly share builds
  • Install any version of the your app that you've ever released to the App Store.
  • DryDock is built on the Parse backend to make it really simple (and free) for anybody to host their own version of DryDock.

DryDock is an open source tool with 450 GitHub stars and 38 GitHub forks. Here's a link to DryDock's open source repository on GitHub.

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Detailed Comparison

DryDock
DryDock
AWS CodeDeploy
AWS CodeDeploy

DryDock is an open source iOS application that we built at Venmo to manage and install all of our internal builds, allow employees to download new experimental apps at any time and to easily share builds designed for a broader audience with their friends.

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.

Rapidly share builds;Install any version of the your app that you've ever released to the App Store.;DryDock is built on the Parse backend to make it really simple (and free) for anybody to host their own version of DryDock.
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
GitHub Stars
432
GitHub Stars
-
GitHub Forks
34
GitHub Forks
-
Stacks
5
Stacks
383
Followers
9
Followers
624
Votes
0
Votes
38
Pros & Cons
No community feedback yet
Pros
  • 17
    Automates code deployments
  • 9
    Backed by Amazon
  • 7
    Adds autoscaling lifecycle hooks
  • 5
    Git integration
Integrations
Parse
Parse
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 DryDock, AWS CodeDeploy?

TestFlight

TestFlight

With TestFlight, developers simply upload a build, and the testers can install it directly from their device, over the air.

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.

HockeyApp

HockeyApp

HockeyApp is the best way to collect live crash reports, get feedback from your users, distribute your betas, and analyze your test coverage.

TestFairy

TestFairy

When testing apps in the crowd, you never know what exactly was done, and what went wrong on the client side. TestFairy shows you a video of the exact test that was done, including CPU, memory, GPS, network and a lot more.

Beta by Crashlytics

Beta by Crashlytics

A streamlined solution for distributing apps that gives you a single, cross-platform toolset for iOS and Android, and a delightful, effortless onboarding for your testers.

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.

Launchdeck

Launchdeck

Deploy code from git to your server the fast and easy way. Launchdeck is our answer to the complicated process of deployment. It’s an automated deployment tool with a super-clear user interface and various smart features.

Laravel Forge

Laravel Forge

Provision, host, and deploy PHP applications on AWS, DigitalOcean, and Linode.

Fabric by Twitter

Fabric by Twitter

Installing and managing a wide range of SDKs can be cumbersome and complex. Fabric solves this problem by combining all seven of our SDKs under one roof and organizing them into three Kits: the Crashlytics Kit, the Twitter Kit, and the MoPub Kit.

ElasticBox

ElasticBox

Configure and deploy applications using CM tools like Docker, Chef, and Puppet. Your application is fully mobile across all major cloud environments because it’s decoupled from underlying cloud infrastructure.

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