AWS Lambda vs. Flutter by Google

Lambda excels at event-driven, short-lived tasks, such as processing files or building simple APIs. However, it's less ideal for long-running, computationally intensive, or applications that rely on carrying the state between jobs. Cold starts and constant load can easily balloon the costs.

Incentivized

Flutter is well known for native app development, if you have android studio installed on your system, you can quickly start using it. This might not be the best choice for you if you do not wish to learn a new language, i.e. Dart and you do not know it already.

Incentivized

• No provisioning required - we don't have to pay anything upfront
• Serverless deployment - it gets executed only when request comes and we pay only for the time the request is getting executed
• Integrates well with AWS CloudWatch triggers so it is easy to setup scheduled tasks like cron jobs

Incentivized

• User interface design works great across all platforms, including native styling for iOS/macOS.
• Native compilation for mobile platforms and a decent rendering engine results in slick apps that can make the most of your device.
• Dart is a well thought out language and easy to pick up.
• Makes cross-platform development of good looking GUI apps a doddle.

Incentivized

• Developing test cases for Lambda functions can be difficult. For functions that require some sort of input it can be tough to develop the proper payload and event for a test.
• For the uninitiated, deploying functions with Infrastructure as Code tools can be a challenging undertaking.
• Logging the output of a function feels disjointed from running the function in the console. A tighter integration with operational logging would be appreciated, perhaps being able to view function logs from the Lambda console instead of having to navigate over to CloudWatch.
• Sometimes its difficult to determine the correct permissions needed for Lambda execution from other AWS services.

Incentivized

• Occasionally updates to the Flutter SDK result in wide-sweeping changes that seem to not be thoroughly tested and considered. Flutter sometimes evolves too fast for its own good.
• While the 3rd-party Flutter package ecosystem is vast and rich, 1st-party support for basic things (audio/video playback, battery information, Bluetooth services, etc.) are lacking. You are occasionally forced to rely on an open-source package for use-cases that other platforms have native support for.
• Documentation, particularly around testing, is lacking. While there are some great docs, like the Dart Style Guide, many Flutter-focused support documents are lacking in quality and real-world usability.
• Flutter allows you to architect an app however you want. While this is a great feature, it also adds complexity and leads to the current state of Flutter's state management, where there are 50+ options on how to organize your app, with very little official guidance or recommendations from the Flutter team. For a beginner, this can create decision paralysis.

Incentivized

I give it a seven is usability because it's AWS. Their UI's are always clunkier than the competition and their documentation is rather cumbersome. There's SO MUCH to dig through and it's a gamble if you actually end up finding the corresponding info if it will actually help. Like I said before, going to google with a specific problem is likely a better route because AWS is quite ubiquitous and chances are you're not the first to encounter the problem. That being said, using SAM (Serverless application model) and it's SAM Local environment makes running local instances of your Lambdas in dev environments painless and quite fun. Using Nodejs + Lambda + SAM Local + VS Code debugger = AWESOME.

Incentivized

Amazon consistently provides comprehensive and easy-to-parse documentation of all AWS features and services. Most development team members find what they need with a quick internet search of the AWS documentation available online. If you need advanced support, though, you might need to engage an AWS engineer, and that could be an unexpected (or unwelcome) expense.

Incentivized

AWS Lambda is good for short running functions, and ideally in response to events within AWS. Google App Engine is a more robust environment which can have complex code running for long periods of time, and across more than one instance of hardware. Google App Engine allows for both front-end and back-end infrastructure, while AWS Lambda is only for small back-end functions

Incentivized

I have experience with react and React Native. I would say that the idea behind all those frameworks are quite similar. However, I found the javascript-based frameworks a bit more accessible as you could utilise your javascript knowledge. Here, Flutter works with its own language. This has advantages and disadvantages sometimes. I found the community around javascript frameworks bigger and therefore sometimes more helpful. However, Flutter does a good job here as well. I think the main argument for Flutter is its usability for less experienced developers. If you do not have knowledge in javascript or other programming languages then I think it is much easier to start with Flutter than with another framework like react. I think the package that you get form scratch is better than in the other frameworks were you have to set up and learn a lot more before you can start.

Incentivized

• Positive - Only paying for when code is run, unlike virtual machines where you pay always regardless of processing power usage.
• Positive - Scalability and accommodating larger amounts of demand is much cheaper. Instead of scaling up virtual machines and increasing the prices you pay for that, you are just increasing the number of times your lambda function is run.
• Negative - Debugging/troubleshooting, and developing for lambda functions take a bit more time to get used to, and migrating code from virtual machines and normal processes to Lambda functions can take a bit of time.

Incentivized

• The rapid development capabilities of Flutter allow us to build apps we could not have previously considered commercially viable, opening new revenue streams.
• Free and open licensing made adoption very easy (ie. free/low cost!).
• In comparison to Qt, our time spent arguing with build tools and perfecting development environments has decreased substantially.

Incentivized