INFRASTRUCTURE INTELLIGENCE / 01
Deployment Command Center
Understand deployment health, identify release risks, and make safer recovery decisions from one workspace.
● RISK ENGINEAI DIAGNOSISFASTAPI + DOCKERELASTIC BEANSTALKBUILD …
API Status
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Risk Engine
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AI Diagnosis
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Monitoring Mode
MANUAL
Your next deployment insight starts here.
Pick a scenario in the control panel and click Analyze Deployment.
DEPLOYMENT RISK SCORE
LOW RISK
Signal Breakdown
Metrics submitted to the risk engine
Error Rate
Latency
Health Status
Risk Level
Recommended Action
AI Diagnosis
Run Analyze Deployment first. The AI explains the metrics you analyzed.
Incident Lab
Breaks a demo route on this very service, measures the real damage with the live telemetry, scores it, asks the AI and shows the rollback decision. The fault reverts by itself after 2 minutes.
App telemetry (this service)
Real request numbers measured by the service itself over the last 10 minutes. Health checks are not counted. Works without any AWS permissions.
AWS CloudWatch (optional)
Needs an Elastic Beanstalk environment with traffic and CloudWatch read permission on its instance role.
Rollback
Production rollback runs from GitHub: Actions → Rollback → Run workflow. It lists the available versions first, then redeploys the one you choose. This page never changes your environment.
Analysis history
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| Time (UTC) | Score | Level | Error % | Latency ms | Health |
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