AWS Lambda vs. IBM Cloud Foundry

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

As it is an open-source platform as a service, it is very easy to operate, scale, and deploy regardless of what programming language and framework it's written in. However, it could be improved in terms of scalability. There should be proper documentation for easier and clearer understanding to make the process smooth.

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

• Simplicity - the command line tool provided can get you up and running within minutes.
• Resourceful - IBM Cloud Foundry is built on top of the open source Cloud Foundry technology, so any resources you find online about Cloud Foundry generally can be applied.
• Feature rich - provides all the necessary features for a cloud based platform, such as auto-scaling, 0 downtime deployment.

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

• Need: VISUALIZATION CAPABILITIES! Particularly with the Conversation Service.
• Need: Annotation capabilities for dialog nodes in Conversation Service.
• Need: Search/querying capabilities in Conversation Service
• Need: Clearer documentation of the S2T service. I had to use a third party website for an understanding of how to use this.

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

CF is what we initially went with to establish a development pipeline and start our cloud journey, now we are expanding this and although we are now pulling in many other tools and functions around CF, it is not being replaced. It stands out as having a key place working ‘with’ git, Kubernetes, IBM cloud etc, not against or segregated from it.

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

• IBM Bluemix is mainly a foundation enabler at this stage, although our business plan does look promising.
• The low cost of development on Bluemix for a start-up like us is so helpful......we had no spare cash for this project besides what we could save or borrow at first, and that wasn't much. We are still trying to attract venture capital to cover the main Cordova Coding effort plus the launch "Cash Burn".
• Features like push notifications, mobile-back end, and world-beating security help us to sell our SaaS products/services.
• The pure (usually!) functionality of IBM products and services is very rewarding to work with.They are so insightful and thoughtful, to say naught of clever!

Incentivized