Google Cloud Platform vs. IBM Cloud Foundry (discontinued)

When most of our stuff is in Google Cloud Platform, it works great to integrate and cross/share data that is all in Google Cloud Platform or BigQuery. It has simplified things from a permissions perspective as well. I'd say it is less appropriate when trying to test something quickly locally, or when half your stuff is in AWS or another provider.

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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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• Easy to set up
• Affordable use of the tool
• Easy to access billing
• Reliable service

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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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• The UI is so confusing. The console is good, but it is like a maze. There are too many menus and settings, and things do not work as expected. It takes time to get friendly, and it is not friendly for new users.
• Support experience: Sometimes, you get a great engineer, but other times, it's very difficult to talk with them as they are unable to respond as expected and solve issues late.
• Region and zone are issues, as not all services are available in all regions, which is lacking when deploying something in the same region or zone.

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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 Google Cloud Platform console is pretty slick for BigQuery especially. I have liked the visibility I get from using that and the way to integrate and see what's in our data lake. The logging console for tracking GKE jobs isn't quite as great, which is why it doesn't get a full 10.

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Google Cloud Platform is release later than Amazon web service, I think that why Google Cloud Platform can learned and optimized the Dashboard and some features that make it easy to use and can be cheaper than amazon web service.

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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• It allows us to focus our efforts on other, more important items at hand
• It gives us an affordable option letting me know it's available to all users, not just the largest scale ones out there
• The customer service is always helpful and reliable, along with the service itself which lets me focus on my work instead of worrying about the service.

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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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