I am shooting for option a). Should be fine for my use case in terms of 
performance. I should recreate rcp call depending on load strategy.
For your question, I am doing long lived streams because there is typically 
always something to send. Feels natural because it is streaming live data, 
diagnostics and statistics bound to the lifecycle of a server process and 
it's activity.

On Monday, January 23, 2017 at 11:36:08 PM UTC+1, Carl Mastrangelo wrote:
>
> You are correct that load balancing is at the RPC scope.  Option A is 
> probably the best if there is long delay between messages.  I am not sure 
> how Option B would work, since typically the reason for having a long lived 
> streaming RPC is to maintain state between messages.   Are you just doing 
> long lived streams to minimize the number of reconnects?  
>
> On Thursday, January 19, 2017 at 12:59:38 AM UTC-8, Jozef Vilcek wrote:
>>
>> Hello,
>>
>> I have a long running grpc call, where client constantly streams data to 
>> ingestion server. There are multiple instances of ingestion servers and 
>> client can choose any of them. I would like each client to load balance 
>> data between available servers. I see that grpc has a load balancer, but my 
>> understanding is that it works over grpc calls, not data within long 
>> running call. What is the best way to approach this with grpc? 
>>
>> a) Do not have long running calls. Make sure to close and reopen call 
>> after some time or amount of data. Should I expect any noticable overhead 
>> or is grpc tuned for this to be neglectable?
>> b) Open multiple calls and do my own load balance from top level, when 
>> sending the data.
>> c) Something else ... ?
>>
>> Many thanks for suggestions.
>>
>> Best,
>> Jozef
>>
>

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