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AWS CodeStar

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AWS CodeStar vs Heroku: What are the differences?

  1. Scalability: One key difference between AWS CodeStar and Heroku is the scalability of the platforms. AWS CodeStar provides scalable infrastructure that allows for easy scaling of applications based on demand, while Heroku offers a more limited scaling capability that may require manual intervention for larger workloads.

  2. Pricing: Another significant difference is in the pricing models of AWS CodeStar and Heroku. AWS CodeStar follows the pay-as-you-go model, where users only pay for the resources they consume, while Heroku has a more straightforward pricing structure based on the resources allocated to the application.

  3. Control and Customization: AWS CodeStar offers more control and customization options for developers, allowing them to fine-tune the infrastructure and configurations according to their specific requirements. On the other hand, Heroku abstracts much of the underlying infrastructure, providing a more simplified deployment process but limiting the level of control available to developers.

  4. Integration with AWS Services: AWS CodeStar integrates seamlessly with other AWS services, allowing for a more comprehensive cloud-based development environment. In contrast, Heroku may require additional configurations and integrations to work with various AWS services, potentially adding complexity to the development process.

  5. Community Support and Resources: Heroku has a robust community and extensive documentation that can be beneficial for developers seeking help and resources. AWS CodeStar, being part of the larger AWS ecosystem, also offers a wide range of resources and support options but may have a steeper learning curve for beginners compared to Heroku.

  6. Ease of Use: Heroku is known for its user-friendly interface and simple deployment process, making it an attractive option for developers looking for a quick and easy way to deploy applications. AWS CodeStar, while offering more features and capabilities, may require a learning curve and additional setup steps for developers unfamiliar with the AWS ecosystem.

In Summary, AWS CodeStar and Heroku differ in terms of scalability, pricing, control, integration with AWS services, community support, and ease of use.

Decisions about AWS CodeStar and Heroku

I'm transitioning to Render from heroku. The pricing scale matches my usage scale, yet it's just as easy to deploy. It's removed a lot of the devops that I don't like to deal with on setting up my own raw *nix box and makes deployment simple and easy!

Clustering I don't use clustering features at the moment but when i need to set up clustering of nodes and discoverability, render will enable that where Heroku would require that I use an external service like redis.

Restarts The restarts are annoying. I understand the reasoning, but I'd rather watch my service if its got a memory leak and work to fix it than to just assume that it has memory leaks and needs to restart.

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Pros of AWS CodeStar
Pros of Heroku
  • 3
    Simple to set up
  • 2
    Manual Steps Available
  • 1
    Flexible
  • 1
    Integrations
  • 1
    GitHub integration
  • 703
    Easy deployment
  • 459
    Free for side projects
  • 374
    Huge time-saver
  • 348
    Simple scaling
  • 261
    Low devops skills required
  • 190
    Easy setup
  • 174
    Add-ons for almost everything
  • 153
    Beginner friendly
  • 150
    Better for startups
  • 133
    Low learning curve
  • 48
    Postgres hosting
  • 41
    Easy to add collaborators
  • 30
    Faster development
  • 24
    Awesome documentation
  • 19
    Simple rollback
  • 19
    Focus on product, not deployment
  • 15
    Natural companion for rails development
  • 15
    Easy integration
  • 12
    Great customer support
  • 8
    GitHub integration
  • 6
    Painless & well documented
  • 6
    No-ops
  • 4
    I love that they make it free to launch a side project
  • 4
    Free
  • 3
    Great UI
  • 3
    Just works
  • 2
    PostgreSQL forking and following
  • 2
    MySQL extension
  • 1
    Security
  • 1
    Able to host stuff good like Discord Bot
  • 0
    Sec

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Cons of AWS CodeStar
Cons of Heroku
    Be the first to leave a con
    • 27
      Super expensive
    • 9
      Not a whole lot of flexibility
    • 7
      No usable MySQL option
    • 7
      Storage
    • 5
      Low performance on free tier
    • 2
      24/7 support is $1,000 per month

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    What is AWS CodeStar?

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

    What is 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.

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    What companies use AWS CodeStar?
    What companies use Heroku?
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    What tools integrate with AWS CodeStar?
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    What are some alternatives to AWS CodeStar and Heroku?
    Jenkins
    In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
    AWS CodeCommit
    CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.
    AWS CodePipeline
    CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.
    Azure DevOps
    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.
    GitLab
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