AWS Elastic Beanstalk vs. Google App Engine vs. Rackspace Fabric

AWS Elastic Beanstalk is well suited for [the] rapid development of applications that use standard compute platforms based on popular programming languages. So getting a Go, Python, Ruby, or Node.js app going in AWS Elastic Beanstalk will be easy. For non-standard applications, containers provide another option for using AWS Elastic Beanstalk. In either case, AWS Elastic Beanstalk is well suited for applications that are [self-contained]. AWS Elastic Beanstalk is also good for development or test environments that need a built-in deployment method. AWS Elastic Beanstalk is less appropriate for complex applications that rely on multiple AWS services. While deploying and running the base code might be easy to get going, it may be difficult to apply permissions and integrations with the other services.

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Google App Engine is especially well suited for situations where there is a variable workload during the day, e.g. inbound task processing with task queues. In this situation queues can be setup with parameters governing the process speed/scaling which allows you to easily balance performance with cost and meet a good balance.

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In the case of our non working hours, this service is excellent. Since the service auto creates a support ticket for the Rackspace team in case of a service being down, the support team can work on a support ticket and fix the issue for us. This is all automated and we don't even need to be involved most of times.

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• Extremely easy to get set up and get apps deployed.
• Integrates really well with existing build processes and is manageable through a suite of CLI tools.
• It is very easy to scale up.
• The documentation is exceptionally detailed and covers a very wide range of deployment scenarios.

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• Building an application that uses Google's Authentication, means users no longer need to remember an different user id and password. Once they are logged into to Google, they can seamlessly access your application hosted on Google App Engine.
• Google App Engine automatically scales up and down. SO if your application receives a spike in user traffic, App Engine automatically launches additional instances of your application to cater for the increased traffic. Once App Engine detects that the spike is usage is over, it automatically scales down to handle the current traffic.
• Google App Engine can be easily integrated with Google Cloud SQL, Google Compute Engine, Google Cloud Storage etc, so that you can build out a full application using one or more of Google's Cloud Platform products.

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• Immediate email notifications: In case a service is down on our servers, we get immediate email notifications via rackspace cloud monitoring service. This helps us to know about the issues and we get in contact with support team to get it resolved.
• Configuration on specific services: We can configure this monitoring on specific services. So for example if i don't want to get notified if MySQL concurrent users limit reached, then I do not need to configure this monitoring for MySQL. I can just use it whenever needed for defined services.
• Group emails and technical contacts emails: The monitoring service can send email alerts to a number of email addresses. Primarily the ones who are added as a technical contact. It helps all people get notified about any issue.
• Auto ticket management: Rackspace automatically creates a support ticket when a service is down and is notified by their monitoring service.

Incentivized

• How to more easily integrate with other other AWS services. There are plenty out there, but it's not quite as seamless as I feel like it should be to mix and match products.
• Make backing up easier when scaling the server. It took quite a bit of time to make sure we had everything set up in case something went wrong.
• When you are first starting to use AWS, the dashboard can be very intimidating. There are countless products all with names that aren't very indicative of what they actually do.

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• For beginners, there is a learning curve that can be reduced by decluttering the functionalities.
• For much big migrations it takes to a lot of time to deploy which can be reduced.
• The scaling of applications based on the user count is not seamless and it requires improvement.

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• It would be nice if there were more templates so that beginners could easily create complex monitors
• I seemed to stumble upon the cloud monitoring service after having Rackspace for a while

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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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App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.

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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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I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster

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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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Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.

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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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There are many services like AWS Elastic beanstalk, but there are none with the maturity in the platform or the cost-effectiveness of AWS Elastic Beanstalk. Also, AWS Elastic Beanstalk is the oldest among them, so there are more people with AWS experience than the other platforms. The only thing is their documentation and UX are a bit old, which doesn't stop it from performing greatly, but yes, if you are looking for better UX, then you can check out other options.

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App Engine is a much more streamlined system than EC2. There is a fundamental difference between them, but they are used for basically the same thing as far a I could tell -- to serve applications EC2 is certainly more complicated, but if offers more machine-level control if that's what you need. It can tend to cost more as well. App Engine is far more straightforward but there are limitations if you need to change the environment. But even then, Google Compute Engine also compares to EC2 and stays within GCP.

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I've used Google/Amazons web services. They both make it easy to accidentally incur bills for things you didn't know were billable (or forgot about). Rackspace makes it extremely clear and doesn't lure you in with so many free trials that try to lock you in at a later time

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• Elastic Beanstalk removes countless hours from development team responsibility, freeing up those resources to instead focus on building the products that our customers want to use.
• As a business that is already embedded into using EC2 instances, it's essentially free to leverage the work that AWS performs on configuring the Elastic Beanstalk stacks.
• With Elastic Beanstalk, while there is still a responsibility to ensure that applications can work with updated underlying dependencies, it's much easier when AWS handled the heavy lifting of updating the stacks.

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• App Engine can scale basically infinitely so our users can always expect fast responsiveness.
• App Engine has saved us money by only using the resources we need when we need them.
• The security and IAM policies surrounding App Engine have saved a lot of head aches.

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• I have overpaid in the past for services I didn't need
• The steepish learning curve might slow things down at first
• I have learned a lot using Rackspace Cloud Monitoring!

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