Segmentation fault (core dumped) - Server version 2.46.0 about server HOT 5 OPEN

Another interesting thing we just noticed is that, when our redis instance went down for a few minutes and when the pods lost connection to it, all of our triton servers had this same segmentation fault at the same time and all restarted. Not sure if that is this pattern is the same reason we are seeing those core dumps intermittently, but either way, those segmentation faults seem like unexpected behavior.

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@rahchuenmonroe we would appreciate if you could experiment and give us more concrete steps to reproduce the issue.

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[6861] created for tracking

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Our prior version was 2.44.0 and we never saw this issue before. We also started using redis caching for ensembles in this version.

In addition to @statiraju comment about providing reproduction steps, it would be great if you could also try simplifying the set of things that changed to help isolate the issue. For example, two experiments:

1. 24.04 vs 24.05 both with no redis caching, see if 24.05 introduces failure
2. 24.05 no redis caching vs. 24.05 with redis caching, see if redis caching introduces failure

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To clarify, we were using 24.03 prior and now are using 24.05 because of ensemble caching.

So far:
24.05, caching enabled: pods restart after core dumps.
24.05, caching disabled: no restarts.
24.03, caching disabled: no restarts.
Can't test for 24.03 with caching enabled since ensemble caching is only in latest version.

The only way I have been able to somewhat accidentally reproduce this was when the redis instance went down for a few minutes during an update and then all pods core dumped. I'm not sure if that's something you folks can somewhat reproduce? Although it's hard to say that is what is happening intermittently also, it does seem a bit suspicious. And from my understanding, if the redis caching request fails, the request should be processed normally instead, so losing connection to redis should not restart the server.

Let me know if I can provide any more information on this, thanks for looking into this!

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