I agree with Jeff Schnitzer. I think google is afraid of the whole open
source & docker thing gaining huge momentum and doesn't want to miss out so
they want to make that part of their foundation e.g. things like
kubernettes. They also want to make it easy for people to migrate from
other clouds to google cloud. I personally like app engine instances - they
are very lightweight containers - docker is great if you need third party
libraries that aren't on app engine & lots of developers don't want to shy
away from that. I personally like the simplicity of app engine containers &
most of my app can run on them. 95% of my code can run on app engine doing
orchestration - I can always have processes running on compute engine with
docker etc if I need - but even as it stands app engine can do a huge
amount of what you need. Even if google didn't make many improvements to
app engine for a while - I can still do a huge amount with app engine. I
think a lot of grads coming out of university will go with PAAS & things
such as firebase to keep things simple, however a lot of the senior
developers will like to stick with what they know. It also seems like
appengine needs a faster deployment cycle & better testing / simulation. So
perhaps there is technical debt there.
On Saturday, 1 November 2014 06:55:34 UTC+13, Jeff Schnitzer wrote:
>
> I agree. I thought that article was basically a fluff piece written by
> someone who has never actually used GAE.
>
> Nobody ever cared about the "subset of Java" issue except Sun who, as
> non-users, count only as whiners ("no, Java's mine, you have to use it the
> way I want!"). And the very old version of python was fixed (2.7, well,
> yes, it's still old but let's face it half the Python community hasn't made
> it to 3.0 yet).
>
> IMHO, the biggest issue is that human beings are slow to adopt new things.
> Most web developers never move beyond the first stack they learn (usually
> LAMP or Rails). Ask them to go outside of their MySQL comfort zone and they
> get all nervous and sweaty. GAE is something different, and the truth is
> that even programmers are a conservative lot.
>
> There are real problems with GAE (those two items chief among them) but I
> think the main reason Google is focusing so much on Compute Engine instead
> of GAE is that the vast bulk of developers haven't bought into the concept
> of PaaS yet. They've just barely made the mental transition off of
> colocated boxes. IaaS is an easier sell, even if it's a dumb choice.
>
> Jeff
>
> On Fri, Oct 31, 2014 at 5:28 AM, Tapir <[email protected] <javascript:>>
> wrote:
>
>>
>>
>> On Wednesday, October 29, 2014 5:11:15 AM UTC+8, Emanuele Ziglioli wrote:
>>
>>> I would find hard to disagree:
>>>
>>> *IBM, Google, and Oracle are all equally at pains to deliver a message
>>>> that makes them uniquely attractive. In this regard, Google's inability to
>>>> recover from the botched roll-out of Google App Engine (GAE) will surely
>>>> go
>>>> down as one of the oddest business cases. It launched the product with
>>>> great fanfare. But developers who flocked to it initially found a
>>>> difficult
>>>> platform that supported only a subset of Java and a very old version of
>>>> Python. Moreover, the interfaces to the proprietary database were poorly
>>>> thought out, so that almost everything in GAE required platform-specific
>>>> code-arounds. While GAE has improved in a limited sense since then, Google
>>>> has not done what Microsoft did — revamp the product from top to bottom to
>>>> make it easy to use. Nor has it leveraged its natural connection to
>>>> developers. One senses GAE is just not a major priority for Google.*
>>>
>>>
>>> http://www.drdobbs.com/cloud/whose-cloud-will-you-use/240169229
>>>
>>
>> GAE really has two problems, neither of them are belong to what mentioned
>> in this article. On the contrary, what mentioned the article are really
>> good point, IMO.
>>
>> The two problems are:
>> 1. high price, for both instance hours and bigtable operations.
>> 2. long Java instance startup time.
>>
>> In my GAE experience, it is very reliable. BigTable is very powerful and
>> easy to use.
>>
>>
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>
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