Hi Srini,

Currently we are not planning to do the performance benchmarking.
For load balancing and pod selection (among replicas), we are planning to rely 
on Kubernetes services.

Regards,
Piyush

From: Addepalli, Srinivasa R <[email protected]>
Sent: Wednesday, February 27, 2019 8:28 PM
To: [email protected]; Piyush Garg <[email protected]>
Subject: RE: [onap-discuss] SO High availability environment deployment

Hi Piyush,

Yes, if the intention is to share the load across multiple instances.  I am 
curious to understand on whether there is any effort to do performance 
benchmarking. What is the type of input load?  What metrics are you collecting 
-  Number of SO service instantiations/hour?

Other reason you had given is to reduce the amount of time the service is down. 
 Yes, yet times, container restart can take minutes.  Good point.

When you have multiple instances of a micro-service, then the consuming 
micro-services need to have a way to figure out the running instances and then 
figure out the right instance within them to talk to.  In K8S world, service 
meshes (e.g ISTIO) are used for this purpose. Are you using any service mesh to 
experiment the scenario you described?

Thanks
Srini


From: [email protected]<mailto:[email protected]> 
[mailto:[email protected]] On Behalf Of Piyush Garg
Sent: Wednesday, February 27, 2019 2:15 AM
To: Piyush Garg <[email protected]<mailto:[email protected]>>; 
[email protected]<mailto:[email protected]>
Subject: Re: [onap-discuss] SO High availability environment deployment


Hi Srini,



Yes, for now we are not planning to handle the failure during in-flight 
requests.

With replica count of 2 or more (on different nodes), we want to achieve load 
sharing as well as we want to avoid a single point of failure in case a k8s 
node goes down. K8s can bring up the container in case of failure, but having 
more than 1 pods will keep system available while failed pod comes back.

Regards,
Piyush

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