Hi, 
I have some general question about scalability for an infrastructure that 
we are currently developing: 

we need to be able to update the bids for millions of keywords as fast as 
possible ( order of minutes response time (!) ).

We are currently submitting batches of 10k requests and wait for the 
answer. 
However this strategy is suboptimal as after each batch we wait for the 
response. 

I would rather like to submit more than one batch in parallel. 

The recently introduced "bulk mutate service" seems the right candidate, 
however it is surprisingly almost as slow as submitting each batch after 
another, indeed retrieving the job id seems to take more time than 
expected. 

One other possibility would be to build one on task queue (for example 
based on celery) however, before spending such a large effort I would like 
to open a discussion for suggestions and advice. 

- What is the suggested strategy for this application? 
- Do you have some study case of somebody which faces a similar challenge? 
- Where can I find the rate limits for keywords operations? (in other words 
how fast can we get at best?)


Thanks! 

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