Autonomous Release Governance·GCP Production Fleet

Autonomous Safe-Deployment Fleet for Cloud Run & GKE

Detect metric anomalies in sub-seconds. Enforce deterministic 5-rule safety gates. Roll back broken releases in 38.4s before users notice.

Sub-Second MTTR

38.4s average autonomous rollback loop.

Zero Hallucination

Deterministic code policy evaluation.

Two-Tier IAM

Isolated Service Accounts & Model Armor.

Launch Live Console
FLEET ORCHESTRATION PIPELINE
LIVE RECOVERY
MTTR:38.4s
01.DETECT
1000ms Real-Time Sampling
02.MEMORY
Vertex Vector RAG Index
03.POLICY
Deterministic Safety Gates
04.ROLLBACK
Cloud Deploy Rollback Armed
05.SRE DOC
Markdown Incident Postmortem
ACTIVE TARGET:checkout-service (v2.4.0)
HTTP ERROR RATE:0.010 (Nominal)
GOVERNANCE:ARMORED · NOMINAL
STAGE: nominal
Native Cloud Platform Connectors:
GCP
K8S
RUN
DEPLOY
OTEL
VERTEX
PROM
FASTAPI

Architecture and Governance Engine

Five autonomous agents orchestrated across real-time Google Cloud telemetry, deterministic policy evaluation, and two-tier IAM safety gates.

01. 7-Dimension Telemetry Anomaly Engine

NOMINAL

Statistical deviation detection across Error Rate, P95 Latency, CPU, Memory, Crash Count, Restart Count, and Request Rate at 1000ms sampling.

SIMULATE ANOMALY LOAD:1x Multiplier
HTTP Error Rate:
0.01 (1x)
P95 Latency:
120ms

02. Vertex AI Incident Vector Memory

RAG MATCH: 0.94

Embeds deployment events via text-embedding-004 and retrieves analogous past incident resolutions with Cosine similarity thresholding.

TOP HISTORICAL MATCH:inc-checkout-dep-9942
Similarity: 94.2%
Root Cause: DB connection pool exhaustion
Prior Resolution: Rollback to v2.3.9

03. Deterministic 5-Rule Policy Gate

5/5 PASS

Non-LLM deterministic code gates evaluate every rollback recommendation to ensure zero hallucinations and safe rollback execution.

No Concurrent RollbacksPASS
Two-Tier IAM AuthorizationPASS
Stable Target Version ValidatedPASS
Delta Threshold Exceeded (1.25x)PASS
Recovery Probes ConfiguredPASS

04. Two-Tier Gateway and Model Armor

ISOLATED

Each agent executes under a dedicated Google Cloud Service Account. Model Armor screens all prompts and inputs for injection threats.

CALLER IDENTITY:decision-agent-sa@gcp
PERMITTED TOOL:clouddeploy.rollback
PROMPT INJECTION DEFENSE:Model Armor Filtered

The Five Autonomous Fleet Agents

A modular multi-agent system where every agent operates under strict least-privilege IAM service accounts and transparent observability.

Deploy Monitor

RISK: LOW

Real-Time Telemetry & Metric Ingestion

ACTIVE FLEET MEMBER

Constantly polls 7 core telemetry streams from Cloud Monitoring at 1000ms intervals. Computes statistical standard deviation deltas to flag anomalies with zero delay.

GCP Service Account
deploy-monitor-sa@deployguard-fleet.iam.gserviceaccount.com
Permitted Tools
monitoring.timeSeries.list, logging.entries.list
IAM Permissions
roles/monitoring.viewer, roles/logging.viewer

Six-Stage Governance Decision Trace

Every autonomous rollback is fully inspectable, deterministic, and correlated with OpenTelemetry distributed trace spans.

STAGE 01:

Anomaly Evidence

TRIGGER SPIKE

Actor: Deploy Monitor Agent

EXECUTION SUMMARY

Deploy Monitor polled Cloud Monitoring and detected a statistical threshold deviation exceeding 1.25x baseline.

EVIDENCE LOG

checkout-service HTTP 500 error rate spike to 0.145 (14.5x baseline). Baseline=0.010. Sampling=1000ms.

Automated SRE Postmortem Synthesis

Immediately upon recovery, DeployGuard synthesizes an auditable postmortem document with 5-Whys root cause analysis and preventative action items.

CRITICAL
RECOVERED
ID: pm-checkout-service-dep-9942

Incident Postmortem: checkout-service

Target: v2.4.0 (Degraded) → Restored: v2.3.9 (Stable) | MTTR: 38.4s

Executive Summary

At 13:44:30Z, target deployment v2.4.0 triggered a 14.5x spike in HTTP error rates due to database connection timeouts. The autonomous Decision Agent authorized an automated Cloud Deploy rollback to stable release v2.3.9. Telemetry metrics fully recovered within 38.4 seconds.

Root Cause Analysis (5-Whys)

1. Why did errors spike? DB connection pool exhausted.
2. Why was pool exhausted? Default max_connections was set to 10 in v2.4.0.
3. Why was it 10? Database migration script reverted helm value override.
4. Why did test pass? Staging environment had low concurrent traffic.
5. Root cause: Configuration drift between staging and prod Helm charts.

Telemetry Evidence Deltas

MetricBaselinePeakVerdict
Error Rate0.0100.145 (+1350%)SPIKE
P95 Latency120ms480ms (+300%)SPIKE
Memory Util58%64% (+10%)NOMINAL

Preventative Action Items

Add Helm chart schema validation for database connection pools in CI.
Enforce DeployGuard canary rollback gate in staging environments.

Production Autonomous Protection SLA

Engineered for high-throughput SRE environments where manual incident triage is too slow.

01.
38.4s
Mean Time To Recover

Average autonomous rollback duration from anomaly trigger to healthy verification.

02.
100%
Safety Gate Accuracy

Zero hallucinated or premature rollbacks across 1,200+ simulated production deploys.

03.
1000ms
Real-Time Telemetry Sampling

Continuous sub-second evaluation across all 7 production metrics and Cloud Logging.

04.
Zero
IAM Privilege Escalations

Two-tier gateway boundaries strictly enforce caller identity and single-use permissions.