AWS CodeStar vs AWS Elastic Beanstalk vs Heroku

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AWS CodeStar

25
171
+ 1
8
AWS Elastic Beanstalk

2.1K
1.8K
+ 1
241
Heroku

25.8K
20.5K
+ 1
3.2K

AWS CodeStar vs AWS Elastic Beanstalk vs Heroku: What are the differences?

Introduction

In this markdown code, I will provide the key differences between AWS CodeStar, AWS Elastic Beanstalk, and Heroku.

  1. Ease of Use: AWS CodeStar simplifies the process of setting up and managing the entire development lifecycle. It provides an integrated environment with a pre-configured project management dashboard, allowing developers to easily start, develop, build, and deploy applications. AWS Elastic Beanstalk also simplifies application deployment, but it lacks the pre-configured project management dashboard provided by CodeStar. Heroku, on the other hand, offers a highly simplified and user-friendly platform, making it extremely easy for developers to deploy and manage applications.

  2. Scalability: AWS Elastic Beanstalk and AWS CodeStar both offer scalability options. AWS Elastic Beanstalk allows automatic scaling based on predefined thresholds or custom policies, ensuring that the application can handle high traffic. CodeStar also supports scaling, but it requires more manual configuration compared to Elastic Beanstalk. Heroku, like Elastic Beanstalk, offers automatic scaling based on predefined rules, providing developers with a scalable platform.

  3. Customizability: AWS Elastic Beanstalk provides a high level of customizability, allowing developers to configure various elements of their applications, such as environment variables, instance types, and load balancers. CodeStar also offers some level of customizability, but it may not have all the flexibility provided by Elastic Beanstalk. Heroku, on the other hand, offers a limited level of customizability compared to both AWS services, as it aims to provide a streamlined and simplified experience for developers.

  4. Integration with AWS Services: Both AWS CodeStar and AWS Elastic Beanstalk seamlessly integrate with various AWS services, such as Amazon RDS, S3, CodeCommit, and others. This enables developers to leverage the full range of AWS services in their applications. Heroku, although it supports integration with some AWS services, does not offer the same level of seamless integration as the AWS services. It has its own ecosystem of add-ons and plugins to enhance the capabilities of applications.

  5. Pricing Model: AWS Elastic Beanstalk and AWS CodeStar have a pay-as-you-go pricing model, where the cost is based on the resources used and the duration of usage. Heroku, on the other hand, offers a variety of pricing plans, including a free tier, but it also has additional costs for add-ons and scaling options. The pricing structure of Heroku is slightly different from that of AWS services, which may be a consideration for budget-conscious developers.

  6. Developer Community and Support: AWS services, including CodeStar and Elastic Beanstalk, have a vast developer community and extensive documentation, providing developers with robust support and resources. Heroku also has a strong developer community, but it may not be as extensive as the AWS community. However, Heroku offers excellent documentation and support for developers using their platform.

In summary, AWS CodeStar and AWS Elastic Beanstalk provide a more comprehensive and flexible development environment with seamless integration with AWS services, while Heroku offers a simplified and user-friendly platform with its own ecosystem of add-ons. The choice between these services depends on the specific requirements, level of customization needed, and familiarity with AWS services.

Decisions about AWS CodeStar, AWS Elastic Beanstalk, 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 AWS Elastic Beanstalk
Pros of Heroku
  • 3
    Simple to set up
  • 2
    Manual Steps Available
  • 1
    Flexible
  • 1
    Integrations
  • 1
    GitHub integration
  • 77
    Integrates with other aws services
  • 65
    Simple deployment
  • 44
    Fast
  • 28
    Painless
  • 16
    Free
  • 4
    Well-documented
  • 3
    Independend app container
  • 2
    Postgres hosting
  • 2
    Ability to be customized
  • 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 AWS Elastic Beanstalk
Cons of Heroku
    Be the first to leave a con
    • 2
      Charges appear automatically after exceeding free quota
    • 1
      Lots of moving parts and config
    • 0
      Slow deployments
    • 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

    Sign up to add or upvote consMake informed product decisions

    What is AWS CodeStar?

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

    What is 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.

    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 AWS Elastic Beanstalk?
    What companies use Heroku?

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    What tools integrate with AWS CodeStar?
    What tools integrate with AWS Elastic Beanstalk?
    What tools integrate with Heroku?

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    What are some alternatives to AWS CodeStar, AWS Elastic Beanstalk, and Heroku?
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    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
    GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.
    See all alternatives