Reflexion Engine · Actor/Critic · Gemini 2.5 Flash

Infrastructure that heals itself.

Replace manual SRE toil with a native, reflexive cognitive layer. Hypothesis-driven automation that lives inside your VPC — not a third-party public API.

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77%
MTTR reduction
4.2 hrs → 58 min
<10s
First response
Automated hypothesis
63%
Auto-remediation rate
On known patterns
$130
Monthly baseline
At low traffic on GCP

The Reflexion Loop

Five stages that turn raw telemetry into safe, auditable infrastructure actions — without a human in the loop for every alert.

01

Observe

Real-time telemetry ingested from GCP Cloud Monitoring, Grafana Synthetics, and Elastic. Sub-second anomaly detection across latency, pod health, and SLO baselines.

GCP Cloud MonitoringGrafana SyntheticsElastic APMkube-state-metrics
02

Reason

Actor agent (Gemini 2.5 Flash) proposes ranked remediation hypotheses. Critic agent validates each against live SLO baselines and AlloyDB recipe knowledge base.

Gemini 2.5 FlashVertex AI Agent EngineAlloyDB pgvector10K+ remediation recipes
03

Gate

Every proposed action passes two guardrails: blast-radius check (auto-block if >3 nodes affected) and SLO projection (only execute if compliance stays ≥95%).

Blast-radius < 3 nodesProjected SLO ≥ 95%Human-in-the-loop UIAudit trail
04

Act

Approved remediations execute via Cloud Run functions — Terraform apply, kubectl rollout, VM resize, HPA adjustment. Full audit log written to BigQuery.

Cloud Run functionsTerraformkubectlBigQuery audit log
05

Learn

Outcome fed back into AlloyDB. Successful remediations raise recipe confidence scores; failures trigger Critic refinement. The system gets measurably smarter each incident.

Confidence scoringRecipe reinforcementCritic feedback loopSLO delta tracking

Built-in guardrails

The system is only as good as its safety constraints. These are non-negotiable.

Blast-radius gate

Any action affecting more than 3 nodes is automatically escalated to human approval — no matter how confident the model is.

SLO projection guardrail

VM resizes and HPA changes only auto-execute if the mathematical model projects SLO compliance stays at or above 95% of baseline.

VPC isolation

All AI reasoning stays inside your VPC. Gemini calls routed through Vertex AI — no telemetry or remediation data leaves your perimeter.

Full audit trail

Every hypothesis, decision, and execution is logged to BigQuery with timestamps, confidence scores, and SLO deltas. FinReg-ready.

GCP-native stack

Everything runs inside your VPC. No third-party SaaS in the critical path.

Observation

GCP Cloud Monitoring, Grafana, Elastic

Reasoning

Vertex AI Agent Engine, Gemini 2.5 Flash

Knowledge

AlloyDB pgvector, RLS multi-tenant

Execution

Cloud Run, Terraform, kubectl

Security

VPC Service Controls, Identity Platform

Billing

Stripe Meters API, metered per-remediation

Ready to cut your MTTR by 77%?

We deploy the full Reflexion Engine inside your GCP VPC. 6-week pilot, fixed price, you own the code.

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