Guangrong,
To be more precise, the current approach is that there are two levels of
“instances”. The first is, using Kubernetes terms, “service” level. The
second is “pod” level, where a pod is a container or group of closely coupled
containers.
Using VES collector as example, the R1 VES container becomes a pod. Then
another layer of abstraction is added for addressing platform maturity
requirements, to wrap individual pod into service (load balancer type).
External world interacts with VES at the service level. Scaling and resilience
within a VES service (individual VES pod gets restarted, scaled to more replica
instances, etc) are handled by Kubernetes, transparent to outside world, and no
DCAE control involvement. If additional VES “service” needs to be deployed,
that will involve DCAE control. Instances of service can be identified
individually.
With this said, there is no current plan to explicitly notify individual
service instances about other instances of the same service. Each service
instance can probably look into Consul or Kubernetes mechanisms to see if there
are other service instances of the same type as itself.
Is this something you need for R2 Holmes?
Lusheng
From: "fu.guangr...@zte.com.cn" <fu.guangr...@zte.com.cn>
Date: Thursday, February 8, 2018 at 9:33 PM
To: "fu.guangr...@zte.com.cn" <fu.guangr...@zte.com.cn>
Cc: "JI, LUSHENG (LUSHENG)" <l...@research.att.com>,
"roger.maitl...@amdocs.com" <roger.maitl...@amdocs.com>,
"onap-discuss@lists.onap.org" <onap-discuss@lists.onap.org>,
"tang.pe...@zte.com.cn" <tang.pe...@zte.com.cn>
Subject: 答复: Re: [onap-discuss] [dcae][dcaegen2][holmes] A Question on
AutoScaling of DCAE Microservices
Lusheng,
One more question on this: will the existing microservice instances be notified
by DCAE once a new instance is spun up or a redundant instance is destroyed?
Say, there's already an instance of Holmes (e.g. Holmes A) and then a new
instance (Holmes B) of Holmes is instantiated. Will DCAE tell Holmes A that
there's another instance of Holmes named "Holmes B" spun up just now?
Guangrong
原始邮件
发件人：付光荣10144542
收件人： <l...@research.att.com>;
抄送人： <roger.maitl...@amdocs.com>; <onap-discuss@lists.onap.org>;唐鹏10114589;
日 期 ：2018年02月05日 09:56
主 题 ：答复: Re: [onap-discuss] [dcae][dcaegen2][holmes] A Question on AutoScaling
of DCAE Microservices
Thanks Roger and Lusheng for your kind feedbacks.
I'll look through the links that Roger pointed. Since Holmes does not have to
do anything on metric collecting, I think the top priority for our team is to
handle the state of our containers properly after auto scaling.
Lusheng,
As you know, we have a virtual F2F event this week. So I'm not sure whether we
have a chance to discuss this. Please do let me know when you are ready to
share.
Thank you very much.
Regards,
Guangrong
发件人： <l...@research.att.com>;
收件人： <roger.maitl...@amdocs.com>;付光荣10144542;
抄送人： <onap-discuss@lists.onap.org>;唐鹏10114589;
日 期 ：2018年02月03日 05:13
主 题 ：Re: [onap-discuss] [dcae][dcaegen2][holmes] A Question on AutoScailing of
DCAE Microservices
Roger,
Thanks for the pointers.
Guangrong,
The details of the Kubernetes plan for DCAE is still work-in-progress. Here
are some of highlights for service components.
1. Will support Kubernetes based scaling and resilience mechanism for
dockerized service components.
* This implies that the container/containers of a service component will
be packaged as pod. The resilience is expected to be provided by Kubernetes
cluster.
* The Kubernetes based scaling support may need additional support from
service component developer. For example, if a service component is stateless,
for which each instance behaves exactly the same as the next, are
“scaling-ready”. Load can be distributed to any instance and the result would
be the same. However, if the service component keeps states, multiple replicas
of this service component may have different local states if not handled
carefully. The actual mechanism to ensure state synchronization is application
dependent. But one typical approach is to push “states” to an external service
such as a DB, or persistent volume, or a distributed kv store, etc, and states
are loaded into individual replica when needed (e.g. startup) so different
replicas get the state view from the same copy.
* In terms of multiple replicas subscribing to the same message router
topic, there is a way to distribute the load. That is, each replica uses the
same “groupid” but different “userid”. Message router will consider a message
received by a group when it is received by any user of the group. This way we
can avoid the same message being delivered to multiple replicas.
1. Our goal is to maintain the interfaces that how a service component
interacts with the rest of DCAE the same, e.g. how your component gets
deployed and how your component receives configuration updates, etc.
2. How the scaling trigger arrives and the actual scaling (i.e. more
replicas) is handled by external mechanisms. Service components themselves do
not need to worry about that.
We hope to have more details to share the next week, and set up focus meeting
discussing more.
Thanks,
Lusheng
From: Roger Maitland <roger.maitl...@amdocs.com>
Date: Friday, February 2, 2018 at 1:48 PM
To: "fu.guangr...@zte.com.cn" <fu.guangr...@zte.com.cn>, "JI, LUSHENG
(LUSHENG)" <l...@research.att.com>
Cc: "onap-discuss@lists.onap.org" <onap-discuss@lists.onap.org>,
"tang.pe...@zte.com.cn" <tang.pe...@zte.com.cn>
Subject: RE: [onap-discuss] [dcae][dcaegen2][holmes] A Question on Auto
Scailing of DCAE Microservices
Guangrong,
I don’t have an answer in the context of the DCAE controller but OOM/Kubernetes
has facilities to help build a Holmes cluster in the containerized version of
DCAE (which is being worked on). The cluster can be static (which is believe
is what most projects intend for Beijing) or dynamic (the OOM team would love
to work with you on this). Here are some links I hope you find useful:
* OOM Scaling:
https://wiki.onap.org/display/DW/Beijing+Scope#BeijingScope-Scale-clusterONAPservicestoenableseamlessscaling<https://urldefense.proofpoint.com/v2/url?u=https-3A__wiki.onap.org_display_DW_Beijing-2BScope-23BeijingScope-2DScale-2DclusterONAPservicestoenableseamlessscaling&d=DwMGaQ&c=LFYZ-o9_HUMeMTSQicvjIg&r=qiKb3LQBLje9oy8MjG3MEx1ia4mIocif7RoUY8WQWV8&m=PH6vcQyiCxBEtxiaRCJLknhL8__egTuafHSf64rhs3c&s=tlyLj3O-JUMtfOkV_Cv7Gtv5oIlhDfY5fto97Ks0f60&e=>
* K8s auto-scaling:
https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/<https://urldefense.proofpoint.com/v2/url?u=https-3A__kubernetes.io_docs_tasks_run-2Dapplication_horizontal-2Dpod-2Dautoscale_&d=DwMGaQ&c=LFYZ-o9_HUMeMTSQicvjIg&r=qiKb3LQBLje9oy8MjG3MEx1ia4mIocif7RoUY8WQWV8&m=PH6vcQyiCxBEtxiaRCJLknhL8__egTuafHSf64rhs3c&s=gTFDD4nu3Wi4KcpltTvi1s-jyHxnkTsNPGlqFCSwNTY&e=>
Here is a sample of how an auto-scaler is configured:
apiVersion: autoscaling/v2beta1
kind: HorizontalPodAutoscaler
metadata:
name: php-apache
namespace: default
spec:
scaleTargetRef:
apiVersion: apps/v1beta1
kind: Deployment
name: php-apache
minReplicas: 1
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
targetAverageUtilization: 50
status:
observedGeneration: 1
lastScaleTime: <some-time>
currentReplicas: 1
desiredReplicas: 1
currentMetrics:
- type: Resource
resource:
name: cpu
currentAverageUtilization: 0
currentAverageValue: 0
The OOM team would be happy to work with you on implementing this.
Cheers,
Roger
From: onap-discuss-boun...@lists.onap.org
[mailto:onap-discuss-boun...@lists.onap.org] On Behalf Of
fu.guangr...@zte.com.cn
Sent: Friday, February 2, 2018 2:58 AM
To: l...@research.att.com
Cc: onap-discuss@lists.onap.org; tang.pe...@zte.com.cn
Subject: [onap-discuss] [dcae][dcaegen2][holmes] A Question on Auto Scailing of
DCAE Microservices
Lusheng,
The Holmes team is currently working on the auto scaling plans for Holmes. We
need to confirm something with you.
To my understanding, the microservice should only focus on how to maintain and
balance its data flow rather than how the docker containers/vms are scaled by
their controller. As a DCAE application, I think it's DCAE controller's
responsiblity to determine when and how to scale in or scale out Holmes
instances. Is that correct?
If what my understanding is correct, does DCAE have any specific requirements
regarding collecting the status and metrics of its microservices?
Regards,
Guangrong
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