Atlassian Bamboo vs. AWS Elastic Beanstalk

If you value integration over cost, Bamboo is clearly the way to go. It offers tight integration to the rest of the Atlassian suite, and when you need traceability from issue to build, Atlassian is the right way to go. However, if you find yourself needing to save on costs, you may consider taking an approach of rolling your own build system with open source alternatives, such as Jenkins, if you don't [mind] putting in a little extra elbow grease.

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I have been using AWS Elastic Beanstalk for more than 5 years, and it has made our life so easy and hassle-free. Here are some scenarios where it excels -

• I have been using different AWS services like EC2, S3, Cloudfront, Serverless, etc. And Elastic Beanstalk makes our lives easier by tieing each service together and making the deployment a smooth process.
• N number of integrations with different CI/CD pipelines make this most engineer's favourite service.
• Scalability & Security comes with the service, which makes it the absolute perfect product for your business.

Personally, I haven't found any situations where it's not appropriate for the use cases it can be used. The pricing is also very cost-effective.

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• Levels of granularity. Organization has many projects that have many build plans that have many jobs that have many tasks, etc. And branch builds allow source control branches to be built separately.
• Versatility. I can use bamboo to manage my Java, node, or .NET build plans. I can use it to spin up Windows or Linux build agents, or install it on a Mac to build there as well.
• Bamboo integrates with other Atlassian products like Bitbucket, Stash, JIRA, etc. If a company commits to the entire Atlassian stack then work can be tracked through the whole development lifecycle which is really useful.

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• Getting a project set up using the console or CLI is easy compared to other [computing] platforms.
• AWS Elastic Beanstalk supports a variety of programming languages so teams can experiment with different frameworks but still use the same compute platform for rapid prototyping.
• Common application architectures can be referenced as patterns during project [setup].
• Multiple environments can be deployed for an application giving more flexibility for experimentation.

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• Extremely hard barrier to entry for non-backend developers
• Blackbox makes it hard to customize functionality
• The inability to add features without breaking core functionality
• No cloud solution
• Tasks cannot be put in if/else statements
• No clear right way to form build plans

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• Limited to the frameworks and configurations that AWS supports. There is no native way to use Elastic Beanstalk to deploy a Go application behind Nginx, for example.
• It's not always clear what's changed on an underlying system when AWS updates an EB stack; the new version is announced, but AWS does not say what specifically changed in the underlying configuration. This can have unintended consequences and result in additional work in order to figure out what changes were made.

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As our technology grows, it makes more sense to individually provision each server rather than have it done via beanstalk. There are several reasons to do so, which I cannot explain without further diving into the architecture itself, but I can tell you this. With automation, you also loose the flexibility to morph the system for your specific needs. So if you expect that in future you need more customization to your deployment process, then there is a good chance that you might try to do things individually rather than use an automation like beanstalk.

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Bamboo offers solid usability for teams looking for an integrated, scalable CI/CD solution, especially those using Atlassian tools. Its interface is intuitive for existing Atlassian users, and its focus on deployment automation makes it a strong option for continuous delivery. However, its complexity and cost may pose challenges for small teams or those new to CI/CD. Overall, Bamboo’s usability shines in environments where ease of integration and streamlined workflows are prioritized. Still, it may require more effort for teams unfamiliar with its setup or without dedicated resources.

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The overall usability is good enough, as far as the scaling, interactive UI and logging system is concerned, could do a lot better when it comes to the efficiency, in case of complicated node logics and complicated node architectures. It can have better software compatibility and can try to support collaboration with more softwares

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Bamboo is a fairly small product but having said that it was fairly easy to get assistance. Especially for the small to easy things. Anything large or fairly complex was an issue finding detailed answers for. This caused a lot of trial and error on our part to try to find a solution.

As I described earlier it has been really cost effective and really easy for fellow developers who don't want to waste weeks and weeks into learning and manually deploying stuff which basically takes month to create and go live with the Minimal viable product (MVP). With AWS Beanstalk within a week a developer can go live with the Minimal viable product easily.

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- Do as many experiments as you can before you commit on using beanstalk or other AWS features. - Keep future state in mind. Think through what comes next, and if that is technically possible to do so. - Always factor in cost in terms of scaling. - We learned a valuable lesson when we wanted to go multi-region, because then we realized many things needs to change in code. So if you plan on using this a lot, factor multiple regions.

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We selected Bamboo because its capabilities to integrate with other Atlassian products specially Jira Software, Bitbucket and in some useful scenarios with Confluence. Also, we found these pros important for us: great user interface, easily agent deployment, Docker compability, simply to maintain / manage, and straightforwardly integration with different notification platforms

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We also use Heroku and it is a great platform for smaller projects and light Node.js services, but we have found that in terms of cost, the Elastic Beanstalk option is more affordable for the projects that we undertake. The fact that it sits inside of the greater AWS Cloud offering also compels us to use it, since integration is simpler. We have also evaluated Microsoft Azure and gave up trying to get an extremely basic implementation up and running after a few days of struggling with its mediocre user interface and constant issues with documentation being outdated. The authentication model is also badly broken and trying to manage resources is a pain. One cannot compare Azure with anything that Amazon has created in the cloud space since Azure really isn't a mature platform and we are always left wanting when we have to interface with it.

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• It helped us achieve the Continuous Deployment and Continuous Integration goals for our applications, a huge milestone that saved a lot of time for developers in making the builds and deployments and saved time for QA in running the automated tests.
• Helped with DevOps: we moved the formal approval from the email to the system and allowed the approver to actually push the button for the production deployments.
• Biggest positive impact of using Bamboo is that it improved our response time to customers and increased the frequency of our deliveries to them.

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• till now we had not Calculated ROI as the project is still evolving and we had to keep on changing the environment implementation
• it meets our purpose of quick deployment as compared to on-premises deployment
• till now we look good as we also controlled our expenses which increased suddenly in the middle of deployment activity

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info