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GLA LOCAL AI SYSTEMS
GLA LOCAL AI SYSTEMS

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Runnng a stress test on our project proxy - billing- memory poly-rbac enforcements, decision making, and learning mechanism.!

Here i'm here again, today, in our latest page:1a;
I decided to share a soak test I did...

So yesterday, I ran GLA's core infrastructure through a 4-hour stress test. 617,616 API calls. 50 concurrent users. Full pipeline: Project Proxy, Memory Policy, Billing System, RBAC enforcement, decision gating.
The result: zero errors.

What we validated:
✅ Stability — p95 latency settled to 1,000–1,400ms and stayed there for 4 hours straight. No degradation, no spikes.
✅ Zero memory leaks — Heap oscillated healthily (garbage collection working), no upward trend.
✅ CPU headroom — Running at 20–30%, target was 70%. Means 3–5x more capacity on the same machine.
✅ Zero crashes — Full RBAC enforcement, rate limiting, circuit breakers, billing metering. All working. All the time.

Why this matters:
This isn't a lab test. This is your infrastructure running hard for 4 straight hours on a consumer laptop. No cloud dependency. No monthly bills. No vendor lock-in.


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