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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