Google Cloud Functions vs. IBM Cloud Foundry

It is easy to use, in 15 minutes you just have to follow a few steps, do some easy configurations and you have the project ready to run, once it is connected to the codebase, the execution is automatic. For anyone coming into the google environment, Functions make code execution easy and transparent. CI/CD is perfect

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

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

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

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

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

Overall Google Cloud Functions is losing a lot of benefits to other GCP services, making it less attractive to users. A simple example would be the need to zip application files and push them to Google Storage which makes it a bit complicated to automate via a CI/CD pipeline. Another "similar" solution would be using Cloud Run although the need for a docker image is there, with the recent evolutions to Cloud Run (ability to downscale to 0) it makes a lot more interesting.

Incentivized

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.

Incentivized

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.

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

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

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