AWS Lambda vs. Dokku vs. IBM Cloud Functions

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.

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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.

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IBM Cloud Functions [is] not the worse product on the IBM cloud. I decided to write this review as I thought it would be balanced. I would still use functions to set up a serverless architecture where execution time is pretty quick and the code is relatively simple. I wouldn't use IBM Cloud Functions for async calls obviously, as costs could be higher. The functions documentation is lacking in terms of CI/CD, and there are unexplainable errors occurring - like the network connection that I mentioned. So I wouldn't just rely on IBM Cloud Functions too much for the entire system, but make sure it's diversified.

• 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

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• Dockerfile deployments are an incredibly simple and straightforward way to spin up applications.
• The docker-options plugin allows endless direct configuration of options passed to different docker lifecycle stages.

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• Great substitute for a simple API calls to run non-complicated code.
• Easy way to run Python/Java/Javascript to get something done.
• File validation.

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• 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.

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• 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.

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• Billing can be a hassle, not the most responsive customer service/support team
• Handles & executes most functionalities, but other platforms offer more scalability if you're seeking consistent and stable growth

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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.

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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.

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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.

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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

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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.

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• ICF is a lightweight service and does not require runtime configurations
• Scalable on demand and hence there is no need to pay for runtime costs

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• 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.

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• Since there's no investment besides a little time to set up, the return has been overwhelmingly positive.
• Deploying a new app is incredibly quick and easy.

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• It directly affected our expenses since we do not need to deploy and maintain a set of separate applications.
• It allowed us to pay for only the amount of time cloud functions run.
• It saved on maintenance and monitoring of the applications it replaced.

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