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  1. Stackups
  2. DevOps
  3. Build Automation
  4. IDE Tools
  5. AWS CodeStar vs Azure DevOps

AWS CodeStar vs Azure DevOps

OverviewComparisonAlternatives

Overview

Azure DevOps
Azure DevOps
Stacks2.7K
Followers2.9K
Votes249
AWS CodeStar
AWS CodeStar
Stacks24
Followers171
Votes8

AWS CodeStar vs Azure DevOps: What are the differences?

Introduction

AWS CodeStar and Azure DevOps are two popular platforms used for managing and automating the software development lifecycle. Both offer a range of services and features to help teams collaborate, build, test, and deploy applications. However, there are several key differences between these two platforms.

  1. Integration with Cloud Platforms: AWS CodeStar is tightly integrated with the AWS cloud platform, offering seamless integration with other AWS services such as CodeCommit (source code repository), CodeBuild (continuous integration service), and CodeDeploy (application deployment). On the other hand, Azure DevOps provides similar integration with the Microsoft Azure cloud platform, allowing users to leverage services like Azure Repos, Azure Pipelines, and Azure Boards for source control, build/release management, and project tracking.

  2. Pricing Model: AWS CodeStar offers a usage-based pricing model, where users are billed for the resources and services they consume. This allows for greater flexibility and cost control. In contrast, Azure DevOps follows a tier-based pricing approach, with different pricing tiers offering different levels of functionality and usage limits. This can be advantageous for teams with predictable resource needs and budget constraints.

  3. Built-in Tools and Services: AWS CodeStar includes several built-in tools and services that teams can use for development, testing, and deployment, such as AWS Lambda (serverless computing), AWS Elastic Beanstalk (application deployment), and AWS CloudFormation (infrastructure as code). Azure DevOps provides similar capabilities through its built-in tools like Azure Functions, Azure App Service, and Azure Resource Manager.

  4. Extensibility and Customization: Azure DevOps offers a high degree of extensibility and customization options through its marketplace, where users can find or develop extensions to enhance the platform's capabilities. This allows teams to integrate with third-party tools and services seamlessly. While AWS CodeStar also supports integration with external tools and services, it may not offer the same level of flexibility and extensibility as Azure DevOps.

  5. Scalability and Performance: AWS CodeStar is known for its scalability and performance, leveraging the scale and reliability of the AWS cloud infrastructure. It can handle large workloads and support teams of any size, making it suitable for enterprise-level projects. Azure DevOps also offers good scalability and performance, powered by the Microsoft Azure cloud platform, but it may not have the same level of scalability as AWS CodeStar.

  6. User Experience and Interface: AWS CodeStar provides a user-friendly interface with an intuitive console that simplifies the management and monitoring of software development projects. Azure DevOps also offers a user-friendly interface, with a visually appealing and intuitive layout for managing projects and workflows. The user experience may vary based on individual preferences and familiarity with the respective platforms.

In Summary, AWS CodeStar and Azure DevOps differ in terms of their integration with cloud platforms, pricing model, built-in tools and services, extensibility, scalability and performance, as well as user experience and interface.

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Detailed Comparison

Azure DevOps
Azure DevOps
AWS CodeStar
AWS CodeStar

Azure DevOps provides unlimited private Git hosting, cloud build for continuous integration, agile planning, and release management for continuous delivery to the cloud and on-premises. Includes broad IDE support.

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

Agile Tools: kanban boards, backlogs, scrum boards; Reporting: dashboards, widgets, Power BI; Git: free private repositories, pull requests; Continuous Integration: automated builds and diagnostics; Cloud build agents: cross-platform agents for Windows, Mac and Linux; Testing Tools: unit testing, load testing, manual, exploratory and user acceptance testing; Release Management: automate deployments, gated approval workflows, audit trails; Marketplace: extensions for the Visual Studio family of products; Package Management: host npm and NuGet packages; IDE Support: Eclipse, IntelliJ, Xcode and Visual Studio; Integration: link code and releases to work items, builds, and test results
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
2.7K
Stacks
24
Followers
2.9K
Followers
171
Votes
249
Votes
8
Pros & Cons
Pros
  • 56
    Complete and powerful
  • 32
    Huge extension ecosystem
  • 27
    Azure integration
  • 26
    Flexible and powerful
  • 26
    One Stop Shop For Build server, Project Mgt, CDCI
Cons
  • 8
    Still dependant on C# for agents
  • 5
    Half Baked
  • 5
    Many in devops disregard MS altogether
  • 4
    Capacity across cross functional teams not visibile
  • 4
    Jack of all trades, master of none
Pros
  • 3
    Simple to set up
  • 2
    Manual Steps Available
  • 1
    GitHub integration
  • 1
    Integrations
  • 1
    Flexible
Integrations
GitHub
GitHub
Visual Studio
Visual Studio
Docker
Docker
Slack
Slack
Trello
Trello
Git
Git
IntelliJ IDEA
IntelliJ IDEA
Jenkins
Jenkins
Octopus Deploy
Octopus Deploy
Eclipse
Eclipse
Amazon EC2
Amazon EC2
AWS Lambda
AWS Lambda
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Jira
Jira

What are some alternatives to Azure DevOps, AWS CodeStar?

Trello

Trello

Trello is a collaboration tool that organizes your projects into boards. In one glance, Trello tells you what's being worked on, who's working on what, and where something is in a process.

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.

Asana

Asana

Asana is the easiest way for teams to track their work. From tasks and projects to conversations and dashboards, Asana enables teams to move work from start to finish--and get results. Available at asana.com and on iOS & Android.

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.

Basecamp

Basecamp

Basecamp is a project management and group collaboration tool. The tool includes features for schedules, tasks, files, and messages.

Confluence

Confluence

Capture the knowledge that's too often lost in email inboxes and shared network drives in Confluence instead – where it's easy to find, use, and update.

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.

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