Hi, I have another question, are there any maximum limitation for remote 
write? it might contains a huge configuration which contains thousands of 
remote write, is that ok?

在2020年11月23日星期一 UTC+8 下午1:10:36<jun min> 写道:

> Thanks for reply, will try it
> 在2020年11月21日星期六 UTC+8 下午9:16:53<[email protected]> 写道:
>
>> 3. Add labels that identify metrics that belong to each deployment.  Have 
>> separate remote_write sections for each remote_write target with its own 
>> bearer token.  Use write_relabel_configs in each section to filter the 
>> writes to each target, so that they only include metrics with the 
>> appropriate label.
>>
>> On Friday, 20 November 2020 at 14:11:14 UTC [email protected] wrote:
>>
>>> I'm setting up a kubernetes cluster for user. They need to deploy 
>>> different deployment, each of them have their own metrics for 
>>> pods/deployment/service, and also have its own bear_token to write to 
>>> remote storage.  It's something like a big company user, own the cluster, 
>>> with multiple department , each department owns a seprate bear_token and 
>>> remote storage.
>>>
>>> What's the best way to set a prometheus cluster to scrape the metrics 
>>> and send them to remote storage?
>>>
>>> I can think of two way:
>>>
>>>
>>>    1. set up a prometheus pod for each deployment
>>>       1. pro: easy and safe, different deployments have different token 
>>>       and remote storage
>>>       2. con: bad performance?Not quite sure.  Each of prometheus will 
>>>       collect all metrics from cadvisors. If there are many deployments, 
>>> with 
>>>       many prometheus, each of them will scrape the whole cluster metrics, 
>>> it may 
>>>       lead to high pressure of cluster
>>>    2. set up an HA prometheus for a whole cluster and wrote a own 
>>>    program to scrape its own metrics and send it to remote storage
>>>       1. pro: seems lighter? not quite sure.  It seems also does 
>>>       something similar to prometheus
>>>       2. con: need a lot of code to implement the scrape and send 
>>>       metrics part
>>>    
>>> Does anyone have any suggestions? Of are there any other better 
>>> solutions?
>>>
>>

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