AWS Lambda Deployment Guide

Overview

The SCBE 14-Layer Hyperbolic Governance System is fully integrated with AWS Lambda for serverless deployment. This document describes the Lambda deployment architecture and integration points.

Architecture

Lambda Handler (`src/lambda/index.js`)

Spiralverse Protocol - Patent Seam Demonstration

The Lambda handler implements two key patent seams:

Manifold-Gated Dual-Lane Classifier
- Extracts geometric features (entropy, complexity, depth)
- Computes lane routing: brain (lane 0) or oversight (lane 1)
- Uses golden ratio (φ) for geometric projection
Trajectory + Drift Coherence Kernel
- 5-variable authorization: origin, velocity, curvature, phase, signature
- Coherence threshold: 0.7
- Drift tolerance: 0.15

Python Backend Integration

SCBE 14-Layer Pipeline (src/scbe_14layer_reference.py)

Processes complex state through hyperbolic geometry
Returns ALLOW/QUARANTINE/DENY decisions
Integrates with Lambda via Python subprocess or API Gateway

AetherMoore Core (src/aethermoore.py)

Quantum-resistant AQM (Active Queue Management)
Soliton wave dynamics for packet scheduling
Physics-based traffic shaping

Symphonic Cipher (src/symphonic_cipher/)

FFT-based harmonic verification
Dual-lattice consensus (Kyber + Dilithium)
Flat-slope encoding for covert channels

Deployment Options

Option 1: Node.js Lambda (Zero Dependencies)

// index.js exports.handler
const response = await ManifoldClassifier.classify(context);
const kernel = TrajectoryKernel.computeKernel(request);
const authorized = TrajectoryKernel.authorize(kernel);

Advantages:

Zero npm dependencies
<1MB deployment package
Cold start: ~100ms

Use case: High-throughput API Gateway for manifold classification

Option 2: Python Lambda with SCBE Pipeline

# Lambda function using Python 3.14 runtime
from src.scbe_14layer_reference import scbe_14layer_pipeline
import json

def lambda_handler(event, context):
    # Extract features from API Gateway event
    body = json.loads(event['body'])

    # Run SCBE pipeline
    result = scbe_14layer_pipeline(
        t=body['features'],
        D=6,
        breathing_factor=body.get('breathing', 1.0)
    )

    return {
        'statusCode': 200,
        'body': json.dumps({
            'decision': result['decision'],
            'risk': result['risk_prime'],
            'distance': result['d_star']
        })
    }

Dependencies (requirements.txt):

numpy>=1.20.0
scipy>=1.7.0

Deployment package size: ~50MB (with numpy/scipy) Cold start: ~2-3 seconds Warm execution: 50-100ms

Option 3: Hybrid Lambda + Step Functions

StateMachine:
  StartAt: ManifoldClassification
  States:
    ManifoldClassification:
      Type: Task
      Resource: arn:aws:lambda:us-east-1:123456789:function:scbe-manifold
      Next: LaneRouter

    LaneRouter:
      Type: Choice
      Choices:
        - Variable: $.lane
          StringEquals: brain
          Next: SCBEPipeline
        - Variable: $.lane
          StringEquals: oversight
          Next: HumanReview

    SCBEPipeline:
      Type: Task
      Resource: arn:aws:lambda:us-east-1:123456789:function:scbe-14layer
      Next: DecisionGate

    DecisionGate:
      Type: Choice
      Choices:
        - Variable: $.decision
          StringEquals: ALLOW
          Next: SuccessState
        - Variable: $.decision
          StringEquals: QUARANTINE
          Next: QuarantineState
        - Variable: $.decision
          StringEquals: DENY
          Next: DenyState

Deployment Steps

1. Package Python Lambda

cd /c/Users/issda/Downloads/SCBE_Production_Pack

# Create deployment package
mkdir -p lambda_package
pip install -r requirements.txt -t lambda_package/
cp src/scbe_14layer_reference.py lambda_package/
cp src/aethermoore.py lambda_package/
cp -r src/symphonic_cipher lambda_package/

# Create ZIP
cd lambda_package
zip -r ../scbe-lambda.zip .
cd ..

2. Deploy to AWS Lambda

# Using AWS CLI
aws lambda create-function \
  --function-name scbe-14layer-governance \
  --runtime python3.14 \
  --role arn:aws:iam::123456789:role/lambda-execution-role \
  --handler lambda_handler.handler \
  --zip-file fileb://scbe-lambda.zip \
  --timeout 60 \
  --memory-size 512

3. Configure API Gateway

# Create REST API
aws apigateway create-rest-api \
  --name "SCBE Governance API" \
  --description "14-Layer Hyperbolic Governance"

# Create resource
aws apigateway create-resource \
  --rest-api-id abc123 \
  --parent-id xyz789 \
  --path-part "classify"

# Create POST method
aws apigateway put-method \
  --rest-api-id abc123 \
  --resource-id rst456 \
  --http-method POST \
  --authorization-type NONE

# Integrate with Lambda
aws apigateway put-integration \
  --rest-api-id abc123 \
  --resource-id rst456 \
  --http-method POST \
  --type AWS_PROXY \
  --integration-http-method POST \
  --uri arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east-1:123456789:function:scbe-14layer-governance/invocations

4. Deploy API

aws apigateway create-deployment \
  --rest-api-id abc123 \
  --stage-name prod

Testing

Stress Test

python tests/stress_test.py

Simulates:

1000 concurrent requests
Attack scenarios (DDoS, malicious packets)
Normal traffic patterns
Edge cases (boundary conditions)

Integration Test

# Test Lambda locally
sam local start-api

# Send test request
curl -X POST http://localhost:3000/classify \
  -H "Content-Type: application/json" \
  -d '{
    "features": [0.8, 0.6, 0.5, 0.4, 0.3, 0.2, 0, 0.785, 1.57, 3.14, 4.71, 6.28],
    "breathing": 1.0
  }'

Expected response:

{
  "decision": "QUARANTINE",
  "risk": 0.3306,
  "distance": 0.3822,
  "coherence": {
    "C_spin": 0.964,
    "S_spec": 0.5,
    "tau": 0.5,
    "S_audio": 0.989
  }
}

Performance Optimization

Lambda Configuration

Memory: 512 MB (optimal for numpy/scipy) Timeout: 60 seconds (worst-case for cold start) Reserved Concurrency: 100 (prevent throttling)

Provisioned Concurrency

For production traffic:

aws lambda put-provisioned-concurrency-config \
  --function-name scbe-14layer-governance \
  --provisioned-concurrent-executions 10 \
  --qualifier prod

Benefits:

Eliminates cold starts
Consistent <100ms latency
Cost: ~$20/month for 10 provisioned instances

CloudWatch Metrics

Monitor:

Invocations - Total requests
Duration - Execution time
Errors - Failed invocations
Throttles - Rate-limited requests
Custom: DecisionDistribution (ALLOW/QUARANTINE/DENY ratio)

Security

IAM Role Permissions

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": ["logs:CreateLogGroup", "logs:CreateLogStream", "logs:PutLogEvents"],
      "Resource": "arn:aws:logs:*:*:*"
    },
    {
      "Effect": "Allow",
      "Action": ["kms:Decrypt", "kms:GenerateDataKey"],
      "Resource": "arn:aws:kms:us-east-1:123456789:key/*"
    }
  ]
}

Environment Variables

aws lambda update-function-configuration \
  --function-name scbe-14layer-governance \
  --environment Variables="{
    REALM_CENTERS=[[0.1,0.2,0.3],[0.4,0.5,0.6]],
    BREATHING_FACTOR=1.0,
    RISK_THRESHOLD_ALLOW=0.3,
    RISK_THRESHOLD_DENY=0.6
  }"

Encryption at Rest

Lambda function code and environment variables are encrypted using AWS KMS.

Cost Estimation

Assumptions:

1M requests/month
500ms average duration
512 MB memory

Lambda Costs:

Requests: 1M × $0.20/1M = $0.20
Compute: 1M × 0.5s × (512/1024) × $0.0000166667 = $4.17
Total: ~$4.37/month

API Gateway:

1M requests × $3.50/1M = $3.50

Grand Total: ~$7.87/month (excluding data transfer)

Production Checklist

Deployment Status: Ready for production Last Updated: 2026-01-17 Maintainer: Issac Daniel Davis / SpiralVerse OS