ONTAP Hardware
ONTAP Hardware
Hello, I am a NetApp partner.
I received an inquiry from a customer, so I would like to ask the community for advice.
Is it possible to know the exact timing of when alerts are generated or cleared in system health subsystem show on NetApp?
As shown below, for Subsystem: Environment, the Subsystem Refresh Interval is displayed as 10m, 10m, 10m:
Subsystem: Environment
Health: ok
Initialization State: initialized
Number of Outstanding Alerts: 0
Number of Suppressed Alerts: 0
Node: aff300-rtp-14a, aff300-rtp-14a, aff300-rtp-14b
Subsystem Refresh Interval: 10m, 10m, 10m
I believe there must be a difference between showing a single 10m and showing 10m, 10m, 10m.
For example, if a PSU goes into a fault state and then returns to normal, it can take much longer than 10 minutes for the System health subsystem to reflect the recovered status.
Does this mean that the system checks the state three times at 10-minute intervals before updating?
To clarify my understanding, I created an algorithm flow diagram.
I would appreciate any advice on this matter.
Solved! See The Solution
Hi @hojun ,
This is actually simpler than it seems. The 10m, 10m, 10m that is shown in your CLI output actually aligns with the nodes that contribute to the health subsystem "Environment".
In conclusion the Environment subsystem on your environment is refreshed / checked every 10 minutes.
I hope that this helps!
Hi @hojun ,
This is actually simpler than it seems. The 10m, 10m, 10m that is shown in your CLI output actually aligns with the nodes that contribute to the health subsystem "Environment".
In conclusion the Environment subsystem on your environment is refreshed / checked every 10 minutes.
I hope that this helps!
If a device fails, just before a refresh cycle and then recovers just after the next refresh cycle you will see unhealthy subsystem of just over 20 minutes which would be the maximum.
I conducted the test based on Chamfer’s advice.
As you mentioned, it worked as expected, and I have shared this result with the customer.
Thank you very much for your help. 😚