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In progress

We will use vFW use case as the baseline to test this:

Pre-requirement: Instantiate a vFW with closed loop running.

  • Error detection is very fast: less than 1 second
  • Recovery:
    • Kill docker container, it normally takes less than 1 minute to get the system in normal state. (SDNC, APPC will take up 5 minutes)
    • Delete the pod, it normally takes much longer to get back specially for SDNC, APPC (up to 15 minutes). 
  • Note: Helm upgrade sometimes messed up the whole system, which will turn the system into un-useable status. However, we think this may not be a normal use case for production env.
Time (EDT)Categories

Sub-Categories

(In Error Mode Component)

Time to Detect Failure and RepairPass?Notes

VNF Onboarding and DistributionSDC< 5 minutesPass

Timing?? 30 minutes.  Using  a script kills those components randomly, and continue onboarding VNFs.

ete-k8s.sh onap healthdist

After kicking off the command; waiting for 1 minutes; killed SDC;

The first one was failed; then we did redistribute, it was success.


SO< 5 minutesPass

After kicking off the command; waiting for 1 minutes; killed SO;

The first one was failed; then we did redistribute, it was success.


A&AI< 5 minutesPass
  1. Killed aai-modelloader; it finished the task in 3:04 minutes
  2. Killed two aai-cassandra pods; it finished the task in ~1 minutes.

SDNC< 8 minutesPass
  1. Run preload using scripts

Delete SDNC pod, it took very very long time to get back, it might because of the network issues. And we got a very "weird" system, SDC gives us the following error:

< 5 minutesPass
  1. Deleted one of the SDNC container: eg. sdnc-0.

2. Run health and preload



VNF InstantiationSDC< 2 secondsPassTested with manually kill the docker container

VID< 1 minutePass
  1. kubectl delete pod dev-vid-6d66f9b8c-9vdlt -n onap //back in 1 minute
  2. kubectl delete pod dev-vid-mariadb-fc95657d9-wqn9s -n onap  // back in 1 minute

SO



A&AI



SDNC



MultiVIM



Closed LoopDCAE

Pre define manually this closed loop

DMaaP



Policy

Policy documentation: Policy on OOM

A&AI



APPC


Requirement

Area

Priority

Min. Level

Stretch Goal

Level Descriptions (Abbreviated)

Resiliency

High

Level 2 – run-time projects
Level 1 – remaining projects

Level 3 – run-time projects
Level 2 – remaining projects

•1 – manual failure and recovery (< 30 minutes)
•2 – automated detection and recovery (single site) (<30 minutes)
•3 – automated detection and recovery (geo redundancy)

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