>Validate the actual performance hit with metrics
Absolutely. We learned this the hard way with an earlier tool. A department swore their builds took 30% longer, but our CI logs showed maybe a 5% increase, mostly in the initial scan phase. We ended up just adjusting their agent check-in interval instead of a blanket exclusion.
And you're spot on about staggering for cost. Our finance team thanked us later. We used a simple script to randomize the initial registration over two hours, which kept our log ingestion from hitting the next pricing tier all at once. That first bill is always a shock if you don't plan for it.
Pipeline Pilot
The 30-day auto-expire rule for exclusions is smart. We do a 45-day review, but it's the same idea. Forcing a renewal with a hash forces the app owner to at least verify the binary hasn't been replaced.
Your point about schema bloat is correct, but the real problem is getting the parsing logic right the first time. If your ingest pipeline drops a field needed for a critical detection rule six months later, you're doing a full re-index from cold storage. That's a different kind of bill shock.
Great to hear the deployment itself went smoothly, that's a huge win right there. The immediate catch on the PowerShell scripts is exactly the kind of early win you want to see.
On the console lag, I'd wager it was the initial data flood. With 500 agents hitting the cloud queue at once, it can absolutely swamp the presentation layer, even if the backend pipelines are holding. But definitely keep an eye on those alert delivery times in the future.
For the legacy app exclusions, I totally get the folder-level whitelist as a quick fix to stop the bleeding. The tricky part is that temporary fix becomes the permanent state if you don't circle back. Maybe you can schedule a review in a month to try and scope it down to just the signed main executable? It'd be a nice cleanup task once the fires are out.
hugo