Google Cloud Functions vs. IBM Cloud Foundry

Any sort of transaction or complex logic that is going to take longer than 250ms or accesses resources that are protected by permissions, secrets, etc. is a great use case for a GCF. Some sort of "helper function" associated strictly with the UI inside browser would not be a good application of a GCF. It would not be crazy to create/debug some fairly complicated logic inside the browser/IDE and when perfected package it up as a Google Cloud Function. I have done that many times.

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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.

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• integration with oAuth
• integration with Firebase
• integration with React Frontend

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• 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.

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• Needing a zip file is problematic (when wanting to automate deployment for example).
• Requires another solution to execute automatically (ex. cloud scheduler).

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• 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.

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The console UI is pretty nasty. Managing various authentication/permissions configurations is just a nightmare. On the other hand, once you are over the hump it's not so bad. AWS Lambda is no better.

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Documentation is provided and clear for this service. Although GCP support is included in the current contract we didn't get to use it since the process is pretty straightforward.

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It is easier to keep everything in house when we are using GCP or AWS. To mix Lambda with google cloud is not a best practice and will cause problems ahead. The segmentation is clear, if you are using google, you use Google Cloud Functions. if you are on Amazon, you use all AWS tools. You can't mix them. The price is set.

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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.

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• For training purposes, it is free
• Budgeting makes it cap the use
• monitoring makes it predictable

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• 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!

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