Google App Engine vs. JetBrains Rider

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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Initially you may think it’s not worth paying and that there are better free options, which is definitely a lie we once tried to live with. It has everything you may ever need in .NET world, code analysis and debugging works super well and all the SQL/noSQL related integrations are just next level compared to the competition. It’s worth every penny.

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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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• Provides a smooth, efficient IDE for developing .NET applications. Performance has been much better than Visual Studio in my experience.
• Integrated refactoring tools are really comprehensive and useful.
• Integrates with other JetBrains products such as TeamCity, Upsource, dotTrace, etc.

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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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• Startup time. It takes a while to index big projects.
• Rarely it loses the intellisense and the only way to get it back is by restarting.
• Memory usage for big projects

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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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Due to the performance and productivity benefits we get with Rider, we will continue to use it for the foreseeable future.

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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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Rider is a great IDE with extensive C# refactoring support and .NET-specific knowledge. This is great for building .NET applications but for our purposes, the Unity specific suggestions are really helpful.

JetBrains Rider is great as an editing and debugging environment. It reliably connects to the Unity editor and allows debugging, which some IDEs are not as reliable at doing.

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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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The support forums and knowledge base are extensive and the JetBrains support staff respond quickly to new posts and help resolve issues. There is also a publicly accessible issue tracking system, which allows you to stay on top of any bug fixes or enhancement requests.

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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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Rider is hands down smoother and way less glitchy than Visual Studio Enterprise. There are way more refactoring capabilities and spell check so that your code is readable, maintainable, and easy to follow. Since Rider is cross-platform, our developers are no longer constrained to only using Windows. We can now get a familiar development environment across Mac, Windows, or Linux!

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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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• Built in Resharper into the license fee, great, you likely want it
• Demands less resources from computer so needing a beefy work computer might not be the case, save money on equipment.

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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