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  4. Platform As A Service
  5. AWS CodeStar vs Atlantis

AWS CodeStar vs Atlantis

OverviewComparisonAlternatives

Overview

Atlantis
Atlantis
Stacks42
Followers28
Votes2
AWS CodeStar
AWS CodeStar
Stacks24
Followers171
Votes8

AWS CodeStar vs Atlantis: What are the differences?

Introduction

AWS CodeStar and Atlantis are both tools used in software development. While they have similarities, they also have key differences that set them apart. In this article, we will explore the main differences between AWS CodeStar and Atlantis.

  1. Integration with Cloud Services: One key difference between AWS CodeStar and Atlantis is their integration with cloud services. AWS CodeStar is a fully managed service that provides a complete set of tools for developing, building, and deploying applications on AWS. It offers seamless integration with various AWS services such as AWS Lambda, Amazon S3, and AWS CodeCommit. In contrast, Atlantis is focused on infrastructure management and mainly integrates with version control systems like Git.

  2. Supported Use Cases: AWS CodeStar is designed to support a wide range of use cases, from simple web applications to complex enterprise projects. It provides project templates for different programming languages and frameworks, making it suitable for various types of projects. On the other hand, Atlantis is primarily used for managing infrastructure changes in a version-controlled manner. It is often used in conjunction with infrastructure-as-code tools like Terraform.

  3. Team Collaboration Features: Another difference is the team collaboration features provided by each tool. AWS CodeStar offers built-in collaboration features including project dashboards, code review, and project management tools. It enables teams to work together efficiently and streamline the development process. Atlantis, on the other hand, focuses more on automating infrastructure deployments and does not provide extensive collaboration features.

  4. Deployment Workflow: AWS CodeStar provides a simplified deployment workflow that facilitates continuous integration and delivery. It offers built-in pipelines and integrations with different AWS services to automate the deployment process. Atlantis, on the other hand, does not have built-in deployment capabilities. It focuses more on providing a review and approval workflow for infrastructure changes before they are applied.

  5. Configuration and Management: AWS CodeStar takes care of many configuration and management tasks for you, such as setting up a project environment, managing build and test stages, and configuring AWS resources. It provides an opinionated approach to development, which can be beneficial for teams that prefer a structured workflow. Atlantis, on the other hand, requires more manual configuration and management. It relies on external tools like CI/CD pipelines for the deployment process.

  6. Pricing Model: Finally, the pricing models for AWS CodeStar and Atlantis differ. AWS CodeStar follows the AWS pay-as-you-go model, where you pay for the resources you use. The costs depend on factors such as the number of active users, storage usage, and data transfer. On the other hand, Atlantis is an open-source tool and does not have a direct cost associated with it. However, there may be infrastructure costs if you deploy Atlantis on your own servers.

In summary, AWS CodeStar and Atlantis differ in their integration with cloud services, supported use cases, team collaboration features, deployment workflows, configuration and management approaches, and pricing models. These differences make them suitable for different purposes and project requirements.

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Detailed Comparison

Atlantis
Atlantis
AWS CodeStar
AWS CodeStar

Atlantis is an Open Source PaaS for HTTP applications built on Docker and written in Go. It makes it easy to build and deploy applications in a safe, repeatable fashion, and flexibly route requests to the appropriate containers.

Start new software projects on AWS in minutes using templates for web applications, web services and more.

-
Start developing on AWS in minutes;Manage software delivery in one place;Work across your team securely;Choose from a variety of project templates
Statistics
Stacks
42
Stacks
24
Followers
28
Followers
171
Votes
2
Votes
8
Pros & Cons
Pros
  • 2
    It's so sunken
Pros
  • 3
    Simple to set up
  • 2
    Manual Steps Available
  • 1
    GitHub integration
  • 1
    Integrations
  • 1
    Flexible
Integrations
Docker
Docker
Amazon EC2
Amazon EC2
AWS Lambda
AWS Lambda
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Jira
Jira

What are some alternatives to Atlantis, AWS CodeStar?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

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