Thanks for the tip!

Could you suggest some resources for the same regarding these design
considerations if you know of any ?

On Sun, 11 May 2025, 21:48 Robert Engels, <reng...@ix.netcom.com> wrote:

> Of that I’m not sure. It is based on deep knowledge of how these things
> are built from the hardware to the kernel to network protocols to the
> service layers.
>
> It broadly falls under performance tuning of which there is lots of
> literature.
>
> The key element of how channels and go routines play into this - is that
> when dealing with synchronous requests to a service (many services offer
> async endpoints) you need to be able to parallelize these. Then you need to
> be able to provide the data as fast as the network can accept it - most
> networks today are faster than disk storage - even some SSD. So then the
> disk storage array becomes the bottleneck and you need to parallelize that
> (RAID etc) and the kernel access.
>
> Often for massive uploads you might even partition the job across machines
> each with a portion of the data set.
>
> On May 11, 2025, at 11:04 AM, Kanak Bhatia <kanakbhati...@gmail.com>
> wrote:
>
> 
>
> Does we have any kind of documented material or mathematical theory type
> stuff for these things or is it more like hit or try
>
> On Sun, 11 May 2025, 08:04 ren...@ix.netcom.com, <reng...@ix.netcom.com>
> wrote:
>
>> The two most likely limiters in performance will be your network pipe to
>> the cloud and the QPS quota offered by the service. If you are not reaching
>> those limits you should increase the parallelism until you do. If your cpu
>> becomes saturated first you probably need larger buffer sizes in the I/o.
>>
>> On Thursday, May 8, 2025 at 3:48:36 PM UTC-5 Kanak Bhatia wrote:
>>
>>> Does anyone have idea how to optimize consumers, producers and channels
>>> using golang. I have to upload a million objects to a cloud object storage,
>>> but unable to get a optimzed values for above parametres. Producers used to
>>> create objects and send data through channels and receive  them at
>>> consumers and call api from there.
>>
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>>
>

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