AWS Lambda is a serverless computing platform that lets users run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes of requirements to run and scale code with high availability.
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The DigitalOcean App Platform enables developers to build, deploy, and scale apps on what they describe as a simple, fully managed PaaS.
Users of the former Nanobox, acquired by DigitalOcean in 2019, have been migrated to the App Platform upon Nanobox's end of life in March 2021.
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AWS Lambda
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AWS Lambda
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AWS Lambda
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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.
I would only get into it if I where willing to pay for the support plan and getting some assurances from the team as to where they are headed. The platform itself is great and can save you a ton of hard work and money. but it's hard to be confidant in it's sustainability.
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.
The company has not been very communicative as of lately. Not much news, no apparent work on missing features.
Some components are incomplete as far as some critical features. For example, I use RethinkDB as my database and it's missing critical features like backup and clustering, so It is unusable and they should have made that clear from the get go.
The pricing on the support plan is vague. I do have the feeling it is actually well worth the money, but it's hard to form a decisions based without more predictable specific.
Seems to me like the platform's future is unclear.
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.
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.
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
It can help you to host your virtual appliance or serverless application at very low cost. DigitalOcean marketplace also helps you to deploy the serverless app or virtual appliance effortlessly. It is suitable for small scale deployment and the process to setup an account and roll out your app via marketplace is easy and cheap.
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.