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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Dokku
Score 10.0 out of 10
N/A
Dokku is an extensible, open-source Platform-as -a -Service that runs on a single server of your choice.
[AWS Lambda] is very well suited for the projects that doesn't have any infra but needs it where short running processes are required. But if your application need to run continuously than this might not be the very apt tool for you.
If you have your own in-house servers or have a cloud server with the freedom to configure any PaaS that you want, then Dokku is for you. So far, I have never run into a scenario where Dokku was not able to fit my needs, after deploying many different types of applications with varying frameworks, languages, and connected services. If you already have a PaaS available, however, Dokku may not be for you.
Lambda provides multiple methods for triggering functions, this includes AWS resources and services and external triggers like APIs and CLI calls.
The compute provided my Lambda is largely hands off for operations teams. Once the function is deployed, the management overhead is minimal since there are no servers to maintain.
Lambda's pricing can be very cost effective given that users are only charged for the time the function runs and associated costs like network or storage if those are used. A function that executes quickly and is not called often can cost next to nothing.
Putting a significant portion of your codebase into AWS Lambda and taking advantage of the high level of integration with other AWS services comes with the risk of vendor lock-in.
While the AWS Lambda environment is "not your problem," it's also not at your disposal to extend or modify, nor does it preserve state between function executions.
AWS Lambda functions are subject to strict time limitations, and will be aborted if they exceed five minutes of execution time. This can be a problem for some longer-running tasks that are otherwise well-suited to serverless delivery.
Dokku might overreach on its assumptions about how you want to host your app, using its own VHOSTS plugin by default. This may be a pro or a con depending on what you want.
Proxy port configuration can be somewhat difficult, with Dokku resetting any pre-deployment configuration to "smart" defaults on the first deployment.
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.
I have not needed support for AWS Lambda, since it is already using Python, which has resources all over the internet. AWS blog posts have information about how to install some libraries, which is necessary for some more complex operations, but this is available online and didn't require specific customer support for.
Dokku is incredibly well documented and also takes advantage of the documentation and community of Heroku, being essentially the same thing, but in the case that you encounter an actual bug or issue, it can take time for a fix to make it into a new version. Since you manage Dokku yourself, there is no support team to call for help.
Azure Functions is another product that provides lambda functionality, but the documentation for some of Azure's products is quite hard to read. Additionally, AWS Lambda was one of the first cloud computing products on a large cloud service that implemented lambda functions, so they have had the most time to develop the product, increase the quality of service, and extend functionality to more languages. Amazon, by far, has the best service for Lambda that I know.
Dokku is essentially the same thing as Heroku, except maintained by you on the platform of your choice. If you have any experience using Heroku, then you will feel right at home using Dokku. Dokku is an entirely free to use PaaS, requiring only that you have a platform to deploy it on, making it far more versatile than Heroku in my opinion.
I was able to perform a lot of processing on data delivered from my website and little or no cost. This was a big plus to me.
Programming AWS Lambda is quite easy once you understand the time limits to the functions.
AWS Lambda has really good integration with the AWS S3 storage system. This a very good method of delivering data to be processed and a good place to pick it up after processing.
