AWS Elastic Beanstalk is the platform-as-a-service offering provided by Amazon and designed to leverage AWS services such as Amazon Elastic Cloud Compute (Amazon EC2), Amazon Simple Storage Service (Amazon S3).
$35
per month
AWS OpsWorks
Score 4.3 out of 10
N/A
AWS OpsWorks is a configuration management service that provides managed instances of Chef and Puppet.
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Pricing
AWS Elastic Beanstalk
AWS OpsWorks
Editions & Modules
No Charge
$0
Users pay for AWS resources (e.g. EC2, S3 buckets, etc.) used to store and run the application.
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Offerings
Pricing Offerings
AWS Elastic Beanstalk
AWS OpsWorks
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
AWS Elastic Beanstalk
AWS OpsWorks
Features
AWS Elastic Beanstalk
AWS OpsWorks
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
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.
Where you already have some Chef recipes to build your application boxes and are happy to run directly on VMs, OpsWorks really shines. It won't do anything too complex for you, so it only really works well for simple stacks (load balancers, application layers, database layers). If you want to do more complex infrastructure, Cloudformation or Terraform are probably worth looking at.
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.
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.
Getting up and running with OpsWorks is a very technical and potentially time-consuming process. You need to know the ins and outs of Chef/Puppet if you really want to get into it and there isn't a convenient way to test out the environment locally so debugging can be time-consuming.
To take advantage of some of the newer AWS instance types you need to be running on a VPC, which again is a pain if you don't have a DevOps team.
The error logs and monitoring metrics in OpsWorks are pretty basic and haven't changed much over the years.
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.
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
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.
Unless you pay for a pricey support package getting support on OpsWorks will be pretty slow. Documentation is also relatively limited and sometimes hard to follow when compared to competitors. Generally, we've been able to get the answers we need from OpsWorks support when we run into problems but don't expect rapid responses.
- 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.
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.
OpsWorks isn't really a direct competitor to Terraform/Cloudformation, but it does allow you to do some of the more simple things on offer quite quickly and effectively. Opsworks was used for this reason, along with existing internal knowledge of Chef. Along with some of the other services on offer from AWS, it is good to use as a stepping stone along the way when building your systems - or perhaps it would be entirely suitable for a fairly simple project.
