Recommendation Pod was observed to restart after running for 22 hrs with below config
- Deploy setup with 10 WN
- Enable intelligence,NTA,MPS,NDR,Rule analysis
- Scaleout all verticals.
- Bootstrap CSV which will create 2500 applications,36k VMs
- Flow generation at 1M/5mins
SSP 5.1.1
Happens only when lot of recommendations and Apps are present in the system. When lot of recommendations are in the system, the default memory of the recommendation pod of 2G is sometimes not sufficient to load all the recommendation summaries in the UI.
k describe pod recommendation-<xxxx>-<yyyy>
You should see something like below with Exit Code: 137 and Restart Count: <greater than 0>
This shows that the Recommendation Pod was killed by the Kubernetes Control Plane due to exceeding 2Gi memory limits set forth on it as shown below
Last State: Terminated
Reason: OOMKilled
Exit Code: 137
Started: Sat, 10 Jan 2026 01:40:53 -0800
Finished: Thu, 15 Jan 2026 07:45:47 -0800
Ready: True
Restart Count: 2
Limits:
cpu: 8
ephemeral-storage: 1Gi
memory: 2Gi
Resolution requires giving more memory to recommendation pod; This requires below steps
k edit deployment recommendation
Find the below section which specifies the memory
Change the memory to 2560Mi i.e. 2.5G
Save the edited configuration by using command :wq
A new recommendation pod should come up and recommendation UI should no longer show error messages.
If the problem persists, repeat the above steps to Change the memory to 3Gi
Limits:
cpu: 8
ephemeral-storage: 1Gi
memory: 2Gi