[google-appengine] Re: Google has fixed 30 of 707 bugs reported in the past 12 months

[Dimitri Adamou]

Thanks for posting this topic, it has been a very frustrating ride with GAE 
- some of these bugs have made me use creative solutions; but holy hell are 
they silly bugs! (I've opened issue reports for them since over 2+ 
years ago and they are only "acknowledged") - would love active feedback OR 
I would love instructions on how to contribute to the project so I can 
benefit my business.

On Thursday, November 3, 2016 at 2:04:02 PM UTC+11, pdknsk wrote:
>
>
> https://code.google.com/p/googleappengine/issues/list?can=1=opened-after%3Atoday-365=-id
>
> ^ All 707 (public) bugs reported in the past 12 months.
>
>
> https://code.google.com/p/googleappengine/issues/list?can=2=opened-after%3Atoday-365=-id
>
> ^ 322 are still open.
>
>
> https://code.google.com/p/googleappengine/issues/list?can=1=opened-after%3Atoday-365+closed-after%3Atoday-365+-status%3Afixed=-id
>
> ^ 355 were closed for reasons other than Fixed (Invalid, Duplicate and the 
> like).
>
>
> https://code.google.com/p/googleappengine/issues/list?can=1=opened-after%3Atoday-365+status%3Afixed=-id
>
> ^ 30 were fixed.
>
> 14 are Go bugs, which are fixed by the Go team.
> 4 are SDK bugs, which are usually fixed by the gcloud team.
> 1 was closed as fixed, but isn't.
> 1 is a typo.
>
> That makes 10 bugs fixed by the App Engine "Engineering Team".
>

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Re: [google-appengine] My basic_scaling instance hours are way too high

[Dimitri Adamou]

What would help is if we could input our set ups (eg basic_scaling / 
automatic_scaling b/f 1/2/3/4 and have the minimum (no traffic) vs maximum 
(constant traffic so always up) price ranges

so eg

I'm running

3 B4's on basic_scaling
1 B2 on manual
and front-end F4 scaling with 4 maximum front end (My current monthly is 
just hitting 1k)


On Tuesday, September 1, 2015 at 3:27:02 AM UTC+10, Alex Martelli wrote:
>
> Thanks for clarifying, and, I agree, it would be great to clarify the doc 
> page (I'll be working with the docs team on how exactly to do that -- it's 
> far from obvious, since said page is already big and inevitably 
> complicated).
>
> Meanwhile, could you please accept my answer to your Q on serverfault? 
> This way the issue will show up as "answered" and be findable that way by 
> others who may understandably run into the same issue of unclear 
> communication that you did.
>
> Thanks,
>
> Alex
>
>
> On Sun, Aug 30, 2015 at 5:38 PM, Chester Moy  > wrote:
>
>> Then I did misinterpret the docs. It seemed like pretty explicit language 
>> to me,
>> but I was making some assumptions.
>>
>> Instance usage is billed by instance uptime, at a given hourly rate.
>> …
>> Instances are priced based on an hourly rate determined by the instance 
>> class.
>> …
>> Manual and basic scaling instances are billed at hourly rates based on 
>> uptime.
>>
>> I took this to mean that instance classes had differing $/hr rates but, 
>> what
>> it actually meant was i_hr/hr. That’s essentially the same thing if one 
>> were
>> already paying for the service. But for someone who’s in the free tier, 
>> the wording
>> was a little confusing.
>>
>> Thanks for your clarification. The docs are only clear for people already
>> familiar with cloud computing terminology.
>> ​
>>
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>
>

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[google-appengine] Re: How to debug increase in response latencies.

[Dimitri Adamou]

Are your cron running on the front-end aswell? If so you may aswell make a 
seperate module and let the crons hit that instead

On Sunday, August 16, 2015 at 1:52:44 PM UTC+10, Creative Cubs wrote:

 Hi, 
 6AM 8/16 PST, I am seeing 9X increased latency in my app engine 
 (95Percentile 100ms  to 900ms). 
 I did not make any deployments around this time. 

 App has two front end APIs, three crons, and one push queue task executor. 
 How can I know which API is taking more time? 

 Sarath. 



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[google-appengine] Re: Request was aborted after waiting too long

[Dimitri Adamou]

If you are using Front-End instances, they can only last 60 seconds, you 
would need to create a module using Backend Instances for your heavier 
traffic as they can run up to 10 minutes per request and generally if you 
are having heavier tasks it is better to put them onto a backend instance 
and split them away from the main front-end traffic so that users will not 
feel the pinch at all.

On Monday, August 10, 2015 at 10:11:59 PM UTC+10, Мария Кокаия wrote:

 In the period from 27 to 29 May Create Dynamic Instance did not finish the 
 job within a specified platform time.

 1). The reasons why this happens are unknown to us. Is it possible to 
 learn more about the mechanics of creating instances?
 2). How can we protect the service from such behavior in the future?

 Thanks,
 Mary


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[google-appengine] Re: URGENT: 1.9.25 causes many errors in my python app

[Dimitri Adamou]

Letting you know you aren't alone, I filed a ticket for 1.9.25 and was 
having issues, after being put back to 1.9.24 everything has been going 
smoothly again - I'm on PHP.

I really wish there was an opt for new version or please upload a new 
version of your module to upgrade to latest app engine sdk etc. It's 
happened to me 3 times with each release 

On Saturday, July 25, 2015 at 8:29:54 AM UTC+10, PK wrote:

 My service has been unstable today. I think it is related to some new 
 instances that start with 1.9.25 and fail with errors I have not seen 
 before, the instances with 1.9.24 do not have the issue. I see some 
 instances still start with 1.9.24 fortunately...

 Is Google aware of this?



 PK
 p...@gae123.com javascript:



  


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[google-appengine] Need some advice - Bucket and Caching

[Dimitri Adamou]

Hey there, we are looking at changing servers as we have very high storage 
and processing needs - so a bit of a background on how one process works

1. hits the index file
2. looks at the URL
3. if cache exists skip to step 6
4. scans directory reads XML's for any futher rules
5. caches the results based on the URL
6. deliver content

As these small cache files are roughly around 3-4kb each, I'm just 
wondering if Google can operate normally with me keeping this process in or 
skipping the cache part completely (Read the Bucket vs scanning the content 
locally - I'm certain local scan is faster)

I have various other cache's implemented but I believe those are safe to 
stay as they are generally larger processed files 

My program has a* very high File I/O* as we are a Form service - Is Google 
App Engine for us?

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