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Google Cloud Prediction API End of Life

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Re: Google Cloud Prediction API End of Life

#121
post #91
post #83

Earlier quoted context omitted.

> ...mostly by Readergate... Oh, come on... seriously? This argument is trotted out every single time Google shuts down something: "you are still upset about Google Reader". No: we are upset about all of those other things that get shut down, and people from Google shifting blame to Reader over and over and over again is nonsensical at this point: there are so many many examples of things being shut down, and Reader…

I appreciate your passion. My argument isn't that Google doesn't shut down B2B services. It's that I have seen no evidence that Google does it at a vastly outlying rate relative to the industry. IANAL, but Both AWS [0] and Azure [1] have 12-month deprecation policies - this is industry standard, as mentioned in the Google Developers blog you link. [0] https://aws.amazon.com/agreement/ [1] https://azure.microsoft.com/…

I appreciate your passion.

What a shitty way to put down his well supported argument, shame on you. This isn't about his passion - he is refuting your statements with actual facts to the contrary, and you try to make him out like he is passionate about the whole thing (planting the idea that he is somehow not thinking with his head, but with his heart) as opposed to taking a well-supported position against your handwaving that this is somehow all about market perception. Do you work for the marketing department or something?

Political slimery. Ugh.

Re: Google Cloud Prediction API End of Life

#122
post #89

Earlier quoted context omitted.

How much does Google Cloud spend on marketing and sales of its services, how much business do they lose from companies who believe that Google could shut down their services in a few years? How much would they have spent on maintaining this service? I can tell you, from my experience at mid-market size non-tech clients looking to move to the cloud, that Google's reputation for shutting down services is known and is a…

Trust me, I know. I do agree with the folks that argued that security compromise is worse than deprecation though. My counter-argument is the same as yours: find someone to handle it, for as long as it makes sense (I personally jumped on a grenade for a short period of time, but that's not enough). As the commenter below argues, that's probably not indefinite, but it is likely greater than 1 year. Quite frankly, this…

Totally agree. Seems Google wants to be in exploring mode at the same time as conquer the world mode.

It needs to have strict communication with its users. I like that they have some sort of focus and trim junk but they have to really communicate that with their users.

You have to be upfront on how many of your API's are in beta mode. I remember Gmail being in beta for 5 years.

May be this should be the new bar. If you can't get your shit working in 5 years then can it. If you can and enough users use if then support it for a lifetime.

Re: Google Cloud Prediction API End of Life

#123

Earlier quoted context omitted.

yeah, and we should all be happy when we are forced to migrate to new APIs...like the old APIs got rust. This's one of the reasons why proprietary "cloud" services are so bad. Once they are gone you have little or no choice. Nobody would complain much if Google would shut down its MySQL "cloud" service. Amazon is just there and if Amazon doesn't fit the bill you can use a old good metal server. Not the same you can s…

Tensorflow is open source and apparently very popular, so I'm guessing this migration would be moving in the direction of less lock-in.

My point is that the business owner/developer should decide when to migrate to a different API or if it even makes sense for them to even migrate, not Google. The lock in was a bad idea in the first place. I may exaggerate but what's the point to have a new/better solution(Tesorflow) if the migration kills your business?

Re: Google Cloud Prediction API End of Life

#124

> Q: What will happen with my existing models? > A: You must recreate your existing Prediction API models using Cloud Machine Learning Engine. To learn more, please read our documentation about creating models on Cloud Machine Learning Engine. Slightly edited and corrected answer should be > A: You must recreate your existing Prediction API models using Cloud Machine Learning Engine. But, you know what? You must recr…

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