AWS Elastic Beanstalk vs. Google App Engine vs. Microsoft Power Automate

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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App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.

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Very useful RPA tools for automating processes with minimal coding and drag-and-drop functionality, with a wide variety of triggers, including scheduled time-based triggers and activity-based triggers, such as modifying a file/list in SharePoint to run a Power Automate flow. Very easy-to-use UI with native integration with every Microsoft product, and a very low automation failure rate for deployed workflows.

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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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• Quick to develop, quick to deploy. You can be up and running on Google App Engine in no time.
• Flexible. We use Java for some services and Node.js for others.
• Great security features. We have been consistently impressed with the security and authentication features of Google App Engine.

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• Sending confirmation email to clients and user once the flow is triggered.
• Fetching or Dumping files from one location to another if the flow is triggered.
• Schedule flow helps to send alerts and triggers the flow at a specific interval of time to carry out the required task.
• Power Automate also be used to convert any file format to a specific file format and save it to the required location

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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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• There is a slight learning curve to getting used to code on Google App Engine.
• Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
• Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)

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• Steep learning curve.
• It can be slow to develop simple solutions compared to other automation platforms such as Smarsheet.
• Troubleshooting and developing can be frustrating without proper access to edit the code directly.
• Only able to edit through the GUI and with expressions.
• Many ways to do the same thing can be frustrating when you need to rework your flow.

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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 tool is very useful when used with its various native connectors, taking great advantage of the integration between the components and systems of the Office365 universe. However, its cost is still high, and automation using more advanced components containing AI resources becomes unfeasible for some companies. Due to the financial crisis that many companies are currently experiencing, investment in automation systems or tools is taking a back seat.

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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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Power Automate features a clean and intuitive user interface that allows users to create, manage, and monitor workflows easily. The UI is designed to be accessible to both technical and non-technical users, with drag-and-drop functionality for building workflows. Power Automate supports integration with a wide range of Microsoft and third-party applications. This flexibility in integration allows users to automate workflows across various systems, enhancing overall productivity and efficiency.

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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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both Community support and Microsoft official support typically respond to (and resolve) reported issues in a VERY expedient manner, usually going above and beyond for education and bugfixing. I have been thoroughly impressed with the level of support I had been provided in the past.

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after reviewing the main features of Power Automate, the Microsoft trainer focused on some of our real life use cases implementation, from simple to more advanced.

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although it was productive, it is more difficult to stay focused and in a 7 hours a day online training (including screen share issues and the fact that the trainer just can't precisely show the exact location of your mistake)

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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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Overall, our experience implementing Microsoft Power Automate has been positive, with a relatively low barrier to entry and a fast time-to-value—especially because it integrates natively with Microsoft 365, which we were already using extensively. With Respect to migration, I had a very good experience where existing workflows were reviewed and simplified. Unnecessary steps were removed. Business rules were reimplemented using Power Automate logic. We migrated Approval workflows, email-based notifications, SharePoint-centric processes, and simple integrations.

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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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We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as compared to the other major players in Azure and AWS.

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Microsoft Power Automate is worlds ahead of Zapier in so many ways. The looping, DOM access, and flow controls are much better. I feel that accessing different data within previous connectors used in a flow is much easier in Microsoft Power Automate as well. The custom connector creation process is a lot more pleasant in Microsoft Power Automate. The DateTime data type is handles MUCH better in Microsoft Power Automate, which is reason enough to use it.

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I have not done any participations

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Microsoft's professional services provide hands-on support throughout the implementation lifecycle of Power Automate.This includes initial setup, configuration, integration with existing systems, testing, and deployment. They ensure that workflows are correctly designed, optimized for performance, and aligned with security best practices.

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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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• Effective employee adoption through ease of use.
• Effective integration to other java based frameworks.
• Time to market is very quick. Build, test, deploy and use.
• The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.

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• You can automate a lot of process very easy like automatic mails for status updates and such. This will save a lot of time and is more accurate, faster and up-to-date than a user can be.
• Task approval is centralized and automatic reminders save us a lot of time.
• The ROI is good if you have a lot of use cases and things to automate

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