Arqon Runtime Optimizer

Optimization isn't a workflow anymore.
It's a control loop.

Safe self-optimization, robustness, and resilience for live systems—with microsecond-class overhead and deterministic governance.

🛡️ Safe by Construction
🎯 Deterministic & Replayable
⚡ Hot-Path Ready

Powered by ArqonHPO

Real-Time Policy Autopilot

const TIMEOUT = 300; fn timeout(load, latency) -> ms
Don't deploy a number. Deploy a policy that continuously finds the right number.
Beachhead 1

Reliability Autopilot

The Pain: Incident fatigue, dependency flaps, p99 spikes.


The Fix: Dynamically tune timeouts, retries, circuit breakers, and load shedding thresholds in response to telemetry.

Beachhead 2

Cache & Queue Control

The Pain: Constant traffic drift makes static tuning impossible.


The Fix: Continuous adjustment of TTLs, admission policies, batch sizes, and queue limits to maximize throughput.

Beachhead 3

LLM / Inference Serving

The Pain: Massive serving costs, unpredictable model mix.


The Fix: Autopilot for KV cache, spec decoding thresholds, and batching parameters. High Buyer Urgency.

Expansion

Also works for...

  • Database Vacuuming
  • Kernel Selection
  • Mesh Routing
  • Autoscaling Triggers
Old World: Workflow

You run experiments, wait, and manually retune. The system drifts between "tuning sessions."

❌ Slow • Brittle • Human-bound

New World: Control Primitive

The system continuously corrects itself inside the loop. Detects drift and applies bounded adjustments instantly.

✅ Safe • Continuous • Auditable

The Promise: Near-zero overhead, with safety guarantees.

ArqonHPO makes self-optimization cheap enough to run continuously—so resilience becomes a default property, not an ops project.

4 Proofs of the New Paradigm

PROOF A: DRFT

Survive the Drift

Traffic shifts. Hardware ages. ArqonHPO acts as a homeostatic system, adapting in real-time to maintain optimal SLAs.

PROOF B: JITTER

Flatten the Jitter

Zero GC pauses. Engineered for the hot path. We prove sub-microsecond p99 overhead for every decision.

PROOF C: ANYWHERE

Everywhere

One primitive. Rust server, Python script, Browser WASM, Edge device. Same API, same safety guarantees.

PROOF D: ORGANISM

Organism Capabilities

Apply to every knob. The system evolves from a machine into an organism with its own self-regulating metabolism.

Autonomy without Chaos

Every action is bounded, attributable, and reversible. Trust is our primary product.

01

🛡️ Allowlist Only

Unknown knobs are rejected. You explicitly define exactly which policies and parameters the control loop can touch.

02

🛑 Bounded Deltas

Strict step-size limits and global bounds prevent wild oscillations or dangerous state transitions.

03

⏪ Instant Rollback

Baseline restoration is an atomic, first-class operation. One call returns the system to a known-safe safety state.

04

📜 Audit Trail

Every proposal and decision is immortalized in a lock-free event stream. You know exactly why the system changed.

The Adoption Ladder

Shadow Mode Phase 01
Arqon reads telemetry and emits proposals, but does not apply them. Verify the autonomous logic against your team's manual decisions.
Low-Risk Actuation Phase 02
Enable actuation on reversible, low-blast-radius knobs like cache TTLs or batch sizes. Build confidence in the control layer.
High Leverage Policies Phase 03
Expand to timeouts, retries, and load-shedding thresholds. Allow Arqon to steer your system's reliability through volatility.
Fleet Governance Phase 04
Run local control loops on every node with centralized policy oversight. Autonomous resilience becomes a default property of your software.