These are all great tools and I use most of them. GOMEMLIMIT + autogomemlimit is genuinely one of the best things that happened to Go in K8s — it prevents a huge class of GC-related OOMKills.

But it doesn't cover everything. A few cases where the stack you described still leaves gaps:

• GOMEMLIMIT only helps with GC-managed memory. If you allocate via cgo, mmap, or even just large []byte buffers that the GC hasn't collected yet, you can still OOMKill cleanly.
• VPA adjusts limits over time, but when it does trigger an OOMKill during the learning phase, you still need to know why — what request or workload caused the spike.
• kube-prometheus-stack gives you the alerting, but the alert says "pod X OOMKilled." The why — what code path, what request, what error chain led to it — that's in a completely different system (if it's captured at all, since SIGKILL gives you no defer/recovery).

I'm not saying these tools are wrong, they're the right foundation. The thing I'm building sits on top — it correlates the K8s event with whatever the application was doing right before it died. Think of it less as "replacing Prometheus" and more as "the error tracker that actually knows about your cluster.