Task 7: Documentation

Duration: 4-6 hours Priority: Medium Dependencies: All previous tasks

Overview

Create comprehensive documentation for architecture, operations, security, and deployment procedures to ensure the system can be maintained and operated effectively.

Objectives

System architecture documentation with diagrams
Operations runbook for common procedures
Failure and resilience plan
Security model documentation
Setup and deployment instructions
API documentation
Troubleshooting guides
Update README with complete setup guide

Prerequisites

All tasks completed
System tested end-to-end
Performance benchmarks completed
Security audit passed

File Structure

docs/
├── architecture.md          # System architecture
├── failure-resilience.md    # Failure handling
├── security.md              # Security model
├── runbook.md              # Operations procedures
├── setup-guide.md          # Setup instructions
├── troubleshooting.md      # Common issues
├── api.md                  # API documentation
└── performance.md          # Performance characteristics
README.md                   # Updated main README

Implementation Steps

Step 7.1: Architecture Documentation (1-2 hours)

File: docs/architecture.md

# System Architecture

## Overview

The AWS Agent Runtime implements a zero-trust architecture for secure agentic workloads using microservices, service mesh, and governance layers.

## High-Level Architecture

┌─────────────────────────────────────────────────────────────────┐ │ AWS Cloud (us-east-1) │ │ ┌─────────────────────────────────────────────────────────┐ │ │ │ VPC (10.0.0.0/16) │ │ │ │ ┌─────────────────────────────────────────────────┐ │ │ │ │ │ Public Subnet (10.0.1.0/24) │ │ │ │ │ │ ┌─────────────────────────────────────────┐ │ │ │ │ │ │ │ ALB (Internal) │ │ │ │ │ │ │ │ ┌─────────────────────────────────┐ │ │ │ │ │ │ │ │ │ Orbit Service (ECS) │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ • HTTP API (/dispatch) │ │ │ │ │ │ │ │ │ │ • Governance Integration │ │ │ │ │ │ │ │ │ │ • SigV4 Request Signing │ │ │ │ │ │ │ │ │ └─────────────────────────────────┘ │ │ │ │ │ │ │ └─────────────────────────────────────────┘ │ │ │ │ │ └─────────────────────────────────────────────────┘ │ │ │ │ │ │ │ │ ┌─────────────────────────────────────────────────┐ │ │ │ │ │ Private Subnet (10.0.2.0/24) │ │ │ │ │ │ ┌─────────────────────────────────────────┐ │ │ │ │ │ │ │ Governance Lambda │ │ │ │ │ │ │ │ ┌─────────────────────────────────┐ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ • Policy Evaluation │ │ │ │ │ │ │ │ │ │ • Think → Govern → Act │ │ │ │ │ │ │ │ │ └─────────────────────────────────┘ │ │ │ │ │ │ │ └─────────────────────────────────────────┘ │ │ │ │ │ └─────────────────────────────────────────────────┘ │ │ │ │ │ │ │ │ ┌─────────────────────────────────────────────────┐ │ │ │ │ │ Axon Runtime Subnet (10.0.3.0/24) │ │ │ │ │ │ ┌─────────────────────────────────────────┐ │ │ │ │ │ │ │ Axon Service (ECS) │ │ │ │ │ │ │ │ ┌─────────────────────────────────┐ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ • HTTP API (/reason) │ │ │ │ │ │ │ │ │ │ • Reasoning Engine │ │ │ │ │ │ │ │ │ │ • SigV4 Verification │ │ │ │ │ │ │ │ │ └─────────────────────────────────┘ │ │ │ │ │ │ │ └─────────────────────────────────────────┘ │ │ │ │ │ └─────────────────────────────────────────────────┘ │ │ │ └─────────────────────────────────────────────────────────┘ │ │ │ │ ┌─────────────────────────────────────────────────────────┐ │ │ │ Supporting Services │ │ │ │ ┌─────────────────────────────────┐ ┌─────────────┐ │ │ │ │ │ AWS App Mesh │ │ DynamoDB │ │ │ │ │ │ • Service Discovery │ │ • Policies │ │ │ │ │ │ • Traffic Encryption │ └─────────────┘ │ │ │ │ └─────────────────────────────────┘ │ │ │ │ │ │ │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │ │ │ │ ECR Registry│ │ CloudWatch │ │ KMS Keys │ │ │ │ │ │ • Axon │ │ • Logs │ │ • Axon │ │ │ │ │ │ • Orbit │ │ • Metrics │ │ • Orbit │ │ │ │ │ └─────────────┘ └─────────────┘ └─────────────┘ │ │ │ └─────────────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────────────┘


## Component Details

### Network Architecture

#### VPC Design
- **CIDR**: 10.0.0.0/16
- **Availability Zones**: 3 (us-east-1a, us-east-1b, us-east-1c)
- **Subnets**:
  - Public subnets (3): Load balancers, NAT gateways
  - Private subnets (3): General services (Orbit, Governance)
  - Axon runtime subnets (3): Isolated reasoning service

#### Security Layers
1. **Internet Gateway**: Public subnet internet access
2. **NAT Gateways**: Private subnet outbound traffic
3. **Network ACLs**: Subnet-level traffic filtering
4. **Security Groups**: Instance-level traffic control
5. **App Mesh**: Service-to-service communication

### Service Components

#### Axon Service
- **Purpose**: Reasoning and inference engine
- **Technology**: Go application in ECS Fargate
- **Endpoints**:
  - `GET /health`: Health check
  - `GET /reason`: Reasoning execution
- **Security**: SigV4 signature verification
- **Isolation**: Dedicated subnet, no internet access

#### Orbit Service
- **Purpose**: Request orchestration and governance
- **Technology**: Go application in ECS Fargate
- **Endpoints**:
  - `GET /health`: Health check
  - `POST /dispatch`: Request processing
- **Security**: SigV4 request signing, governance checks

#### Governance Lambda
- **Purpose**: Pre-call authorization (Think → Govern → Act)
- **Technology**: Python Lambda function
- **Data Store**: DynamoDB for policies
- **Integration**: Synchronous policy evaluation

### Data Flow

#### Normal Operation
1. **Client Request** → ALB (HTTPS)
2. **ALB** → Orbit Service (HTTP)
3. **Orbit** → Governance Lambda (policy check)
4. **Governance** → DynamoDB (policy lookup)
5. **Orbit** → Axon Service (via App Mesh, signed request)
6. **Axon** → Response to Orbit
7. **Orbit** → Response to client

#### Security Flow
- All requests include correlation IDs
- Orbit signs requests with SigV4
- Axon verifies signatures
- Governance enforces policies
- All traffic encrypted in transit

### Storage and Secrets

#### Secrets Management
- **AWS Secrets Manager**: Encrypted secrets storage
- **KMS Keys**: Service-specific encryption keys
- **Rotation**: Automated 30-day rotation cycle
- **Access**: IAM role-based access control

#### Data Storage
- **DynamoDB**: Governance policies and metadata
- **CloudWatch Logs**: Application and security logs
- **ECR**: Container image registry
- **S3**: Log archives and backups

### Monitoring and Observability

#### Metrics Collection
- **ECS**: CPU, memory, task counts
- **Lambda**: Invocations, duration, errors
- **ALB**: Request counts, latency, error rates
- **DynamoDB**: Read/write capacity, errors

#### Logging Strategy
- **Structured JSON**: Consistent log format
- **Correlation IDs**: Request tracing
- **Log Levels**: ERROR, WARN, INFO, DEBUG
- **Retention**: 30 days active, 1 year archived

#### Alerting
- **Service Health**: CPU > 80%, memory > 80%
- **Errors**: Error rate > 5%, 5xx responses
- **Security**: Governance denials, unauthorized access
- **Performance**: Latency > p95 thresholds

## Scalability Considerations

### Horizontal Scaling
- **ECS Services**: Auto-scaling based on CPU/memory
- **Lambda**: Concurrent execution limits
- **DynamoDB**: On-demand or provisioned capacity

### Performance Targets
- **Latency**: p95 < 500ms for API calls
- **Availability**: 99.9% uptime
- **Throughput**: 1000 requests/minute baseline

### Cost Optimization
- **Fargate**: Right-sizing CPU/memory
- **Lambda**: Optimize function duration
- **DynamoDB**: Use on-demand pricing
- **CloudWatch**: Selective log retention

## Security Architecture

### Zero-Trust Principles
1. **No Implicit Trust**: Every request verified
2. **Least Privilege**: Minimal permissions
3. **Network Isolation**: Private subnets only
4. **Encrypted Communication**: TLS everywhere

### Threat Mitigation
- **Network Attacks**: VPC isolation, NACLs
- **Credential Theft**: Short-lived tokens, rotation
- **Data Exfiltration**: Encryption at rest/transit
- **Service Impersonation**: SigV4 signing

## Deployment Architecture

### CI/CD Pipeline
1. **Build**: Docker images, security scanning
2. **Test**: Unit, integration, security tests
3. **Deploy**: Blue-green deployment to ECS
4. **Verify**: Health checks, smoke tests
5. **Monitor**: Automated validation

### Environment Strategy
- **Development**: Isolated resources, full access
- **Staging**: Production-like, restricted access
- **Production**: Locked down, audit logging

## Future Considerations

### GPU Support
- **ECS GPU Tasks**: For ML inference workloads
- **Instance Types**: P3, G4dn families
- **Auto-scaling**: GPU utilization metrics

### Multi-Region
- **Global Accelerator**: Cross-region load balancing
- **Aurora Global Database**: Multi-region data
- **Route 53**: DNS-based routing

### Advanced Features
- **Service Mesh**: Istio integration
- **Event Streaming**: Kinesis for async processing
- **Caching**: ElastiCache for performance
- **CDN**: CloudFront for static assets

Test Step 7.1:

# Validate documentation
cd docs
markdown-link-check architecture.md
markdown-lint architecture.md

Step 7.2: Failure and Resilience Plan (1 hour)

File: docs/failure-resilience.md

# Failure and Resilience Plan

## Overview

This document outlines failure scenarios, recovery procedures, and resilience strategies for the AWS Agent Runtime system.

## Failure Scenarios

### 1. Service Failures

#### ECS Task Failures
**Symptoms**:
- Health checks failing
- Error rate increasing
- Service unavailable

**Detection**:
- CloudWatch alarms on task count
- ALB target group health checks
- Application error logs

**Recovery**:
```bash
# Check service status
aws ecs describe-services --cluster $CLUSTER_NAME --services $SERVICE_NAME

# Update service (forces new deployment)
aws ecs update-service --cluster $CLUSTER_NAME --service $SERVICE_NAME --force-new-deployment

# Scale up temporarily
aws ecs update-service --cluster $CLUSTER_NAME --service $SERVICE_NAME --desired-count 4

Prevention:

Multiple AZ deployment
Health checks every 30 seconds
Circuit breakers in application code

Lambda Function Failures

Symptoms:

Governance calls timing out
Increased error rates in Orbit
CloudWatch Lambda errors

Detection:

Lambda error metrics
Timeout alarms
Application logs

Recovery:

# Check Lambda logs
aws logs tail /aws/lambda/${PROJECT_NAME}-governance --follow

# Update function code
aws lambda update-function-code --function-name ${PROJECT_NAME}-governance --zip-file fileb://lambda.zip

# Check concurrency limits
aws lambda get-function --function-name ${PROJECT_NAME}-governance --query 'Concurrency'

2. Infrastructure Failures

VPC/Network Issues

Symptoms:

Services unreachable
Cross-AZ communication failing
NAT gateway issues

Detection:

VPC flow logs
Network ACL changes
Security group modifications

Recovery:

# Check VPC status
aws ec2 describe-vpcs --vpc-ids $VPC_ID

# Verify route tables
aws ec2 describe-route-tables --filters Name=vpc-id,Values=$VPC_ID

# Check NAT gateways
aws ec2 describe-nat-gateways --filter Name=vpc-id,Values=$VPC_ID

Database Connectivity

Symptoms:

Governance failures
Policy lookup errors
DynamoDB timeouts

Detection:

DynamoDB metrics (throttles, errors)
Lambda duration increases
Application error logs

Recovery:

# Check DynamoDB status
aws dynamodb describe-table --table-name ${PROJECT_NAME}-governance-policies

# Monitor throttling
aws cloudwatch get-metric-statistics --namespace AWS/DynamoDB --metric-name ThrottledRequests

# Increase capacity if needed
aws dynamodb update-table --table-name ${PROJECT_NAME}-governance-policies --billing-mode PAY_PER_REQUEST

3. Security Incidents

Unauthorized Access Attempts

Symptoms:

Increased governance denials
Failed SigV4 verifications
Unusual traffic patterns

Detection:

CloudWatch security metrics
VPC flow log analysis
IAM access analyzer findings

Response:

Isolate: Remove compromised resources
Investigate: Review CloudTrail logs
Contain: Update security groups, NACLs
Recover: Deploy patched versions
Learn: Update security policies

Secret Compromise

Symptoms:

Unexpected service failures
Secrets rotation alerts
Unusual API calls

Detection:

Secrets Manager access logs
KMS key usage anomalies
Service authentication failures

Recovery:

# Rotate all secrets immediately
aws lambda invoke --function-name ${PROJECT_NAME}-secrets-rotation

# Update KMS keys
aws kms rotate-key-material --key-id alias/${PROJECT_NAME}-axon
aws kms rotate-key-material --key-id alias/${PROJECT_NAME}-orbit

# Force service redeployment
aws ecs update-service --cluster $CLUSTER_NAME --service ${PROJECT_NAME}-axon --force-new-deployment
aws ecs update-service --cluster $CLUSTER_NAME --service ${PROJECT_NAME}-orbit --force-new-deployment

Resilience Strategies

High Availability

Multi-AZ Deployment

Services deployed across 3 AZs
ALB distributes traffic
Database multi-AZ configuration

Auto-Scaling

resource "aws_appautoscaling_target" "axon" {
  max_capacity       = 10
  min_capacity       = 2
  resource_id        = "service/${var.cluster_name}/${var.service_name}"
  scalable_dimension = "ecs:service:DesiredCount"
  service_namespace  = "ecs"
}

resource "aws_appautoscaling_policy" "axon_cpu" {
  name               = "${var.project_name}-axon-cpu-scaling"
  policy_type        = "TargetTrackingScaling"
  resource_id        = aws_appautoscaling_target.axon.resource_id
  scalable_dimension = aws_appautoscaling_target.axon.scalable_dimension
  service_namespace  = aws_appautoscaling_target.axon.service_namespace

  target_tracking_scaling_policy_configuration {
    predefined_metric_specification {
      predefined_metric_type = "ECSServiceAverageCPUUtilization"
    }
    target_value = 70.0
  }
}

Fault Tolerance

Circuit Breakers

type CircuitBreaker struct {
    failures    int
    lastFailTime time.Time
    state       string // "closed", "open", "half-open"
}

func (cb *CircuitBreaker) Call(fn func() error) error {
    if cb.state == "open" {
        if time.Since(cb.lastFailTime) > cb.timeout {
            cb.state = "half-open"
        } else {
            return errors.New("circuit breaker is open")
        }
    }

    err := fn()
    if err != nil {
        cb.failures++
        cb.lastFailTime = time.Now()
        if cb.failures >= cb.threshold {
            cb.state = "open"
        }
        return err
    }

    cb.failures = 0
    cb.state = "closed"
    return nil
}

Retry Logic

func (c *AxonClient) CallWithRetry(ctx context.Context, correlationID string) (string, error) {
    var lastErr error

    for attempt := 0; attempt < c.maxRetries; attempt++ {
        result, err := c.CallReasoning(ctx, correlationID)
        if err == nil {
            return result, nil
        }

        lastErr = err

        // Exponential backoff
        backoff := time.Duration(attempt+1) * c.baseBackoff
        if backoff > c.maxBackoff {
            backoff = c.maxBackoff
        }

        c.logger.Printf("RETRY [%s] Attempt %d failed, retrying in %v: %v",
            correlationID, attempt+1, backoff, err)

        select {
        case <-time.After(backoff):
        case <-ctx.Done():
            return "", ctx.Err()
        }
    }

    return "", fmt.Errorf("max retries exceeded: %w", lastErr)
}

Disaster Recovery

Backup Strategy

CloudWatch Logs: 30 days retention, S3 export
DynamoDB: Point-in-time recovery enabled
Secrets: Automatic rotation, backup via Lambda
Infrastructure: Terraform state in S3 with versioning

Recovery Time Objectives (RTO)

Service Failure: < 5 minutes (auto-healing)
AZ Failure: < 15 minutes (multi-AZ failover)
Region Failure: < 1 hour (cross-region recovery)

Recovery Point Objectives (RPO)

Application Data: Near real-time (DynamoDB streams)
Logs: < 5 minutes (CloudWatch real-time)
Configuration: < 1 hour (Terraform state)

Incident Response

Severity Levels

Level	Description	Response Time	Communication
P0	System down, no redundancy	Immediate (< 5 min)	All stakeholders
P1	Major functionality impaired	15 minutes	Team leads
P2	Minor issues, partial degradation	1 hour	On-call engineer
P3	Non-critical issues	4 hours	Next business day

Response Process

1. Detection

Automated monitoring alerts
User reports
Log analysis

2. Assessment

# Check system status
./scripts/health-check.sh

# Review recent changes
aws cloudtrail lookup-events --start-time $(date -u -d '1 hour ago' +%s)

# Check metrics
aws cloudwatch get-metric-statistics --namespace AWS/ECS --metric-name RunningTaskCount

3. Communication

Update incident status page
Notify stakeholders via SNS
Provide regular updates

4. Resolution

Follow runbook procedures
Implement temporary fixes
Deploy permanent solution

5. Post-Mortem

# Incident Report: [Title]

## Timeline
- **Detected**: [Timestamp]
- **Resolved**: [Timestamp]
- **Duration**: [Duration]

## Impact
- **Users Affected**: [Number]
- **Services Down**: [List]

## Root Cause
[Detailed analysis]

## Resolution
[Steps taken]

## Prevention
[Future improvements]

Performance Degradation

Slow Response Times

Symptoms:

Increased latency
Timeout errors
User complaints

Diagnosis:

# Check CloudWatch metrics
aws cloudwatch get-metric-statistics \
    --namespace AWS/Lambda \
    --metric-name Duration \
    --statistics p95 \
    --start-time $(date -u -d '1 hour ago' +%s)

# Review application logs
aws logs filter-log-events \
    --log-group-name /ecs/${PROJECT_NAME}-axon \
    --filter-pattern '"duration"' \
    --start-time $(date -u -d '1 hour ago' +%s)

Optimization:

Increase Lambda memory allocation
Optimize database queries
Implement caching
Scale ECS services

Resource Exhaustion

Symptoms:

CPU/memory spikes
Service throttling
Error rate increases

Recovery:

# Scale services
aws ecs update-service --cluster $CLUSTER_NAME --service $SERVICE_NAME --desired-count 4

# Check resource usage
aws ecs describe-tasks --cluster $CLUSTER_NAME --tasks $(aws ecs list-tasks --cluster $CLUSTER_NAME --service-name $SERVICE_NAME --query 'taskArns[]' --output text)

Testing and Validation

Chaos Engineering

# Terminate random ECS task
TASK_ARN=$(aws ecs list-tasks --cluster $CLUSTER_NAME --service-name ${PROJECT_NAME}-axon --query 'taskArns[0]' --output text)
aws ecs stop-task --cluster $CLUSTER_NAME --task $TASK_ARN

# Verify auto-healing
aws ecs describe-services --cluster $CLUSTER_NAME --services ${PROJECT_NAME}-axon --query 'services[0].runningCount'

Load Testing

# Install hey (load testing tool)
# Test with increasing load
hey -n 1000 -c 10 -m POST -d '{"test": "data"}' https://$ALB_DNS/dispatch

# Monitor during test
aws cloudwatch get-metric-statistics --namespace AWS/ECS --metric-name CPUUtilization --statistics Maximum

Failover Testing

# Simulate AZ failure
aws ec2 stop-instances --instance-ids $NAT_INSTANCE_ID

# Verify traffic routing
aws cloudwatch get-metric-statistics --namespace AWS/NetworkELB --metric-name HealthyHostCount

Cost Optimization

Resource Rightsizing

ECS Tasks: Monitor CPU/memory usage, adjust allocations
Lambda: Optimize memory for better performance/cost
DynamoDB: Use on-demand pricing, monitor usage patterns

Auto-Scaling Configuration

# Scale down during low usage
resource "aws_appautoscaling_policy" "axon_scale_down" {
  name               = "${var.project_name}-axon-scale-down"
  policy_type        = "TargetTrackingScaling"
  resource_id        = aws_appautoscaling_target.axon.resource_id
  scalable_dimension = aws_appautoscaling_target.axon.scalable_dimension
  service_namespace  = aws_appautoscaling_target.axon.service_namespace

  target_tracking_scaling_policy_configuration {
    predefined_metric_specification {
      predefined_metric_type = "ECSServiceAverageCPUUtilization"
    }
    target_value = 30.0
    scale_in_cooldown  = 300
    scale_out_cooldown = 60
  }
}

Maintenance Windows

Scheduled Maintenance

Weekly: Security patching, log rotation
Monthly: Dependency updates, performance tuning
Quarterly: Architecture reviews, capacity planning

Communication Plan

Notify stakeholders 1 week in advance
Provide maintenance window (2-4 AM UTC)
Post-maintenance report with changes
Rollback plan for any issues

Metrics and KPIs

Availability Metrics

Uptime: (Total time - downtime) / total time * 100
MTTR: Mean time to recovery
MTBF: Mean time between failures

Performance Metrics

Latency: p50, p95, p99 response times
Throughput: Requests per second
Error Rate: 4xx/5xx response percentage

Business Metrics

User Satisfaction: Based on error rates and latency
Cost Efficiency: Cost per request
Security: Security incidents per month

Monitoring Dashboard

┌─────────────────────────────────────────────────────────────┐
│                    System Health Dashboard                 │
├─────────────────────────────────────────────────────────────┤
│ Availability: 99.95%     │ MTTR: 4min    │ MTBF: 15 days    │
│ Latency p95: 245ms       │ Errors: 0.02% │ Cost: $0.002/req │
├─────────────────────────────────────────────────────────────┤
│ Recent Incidents: 0      │ Active Alerts: 0               │
│ Next Maintenance: 2024-02-15 02:00 UTC                    │
└─────────────────────────────────────────────────────────────┘


**Test Step 7.2:**

```bash
# Validate failure scenarios
cd docs
grep -n "Symptoms\|Detection\|Recovery" failure-resilience.md

Step 7.3: Operations Runbook (1 hour)

File: docs/runbook.md

# Operations Runbook

## Daily Operations

### Health Checks

#### Automated Health Checks
```bash
# Run comprehensive health check
./scripts/health-check.sh

# Expected output:
# ✅ Axon service: 2/2 tasks healthy
# ✅ Orbit service: 2/2 tasks healthy
# ✅ Governance Lambda: responding
# ✅ DynamoDB: accessible

Manual Verification

# Check ECS services
aws ecs describe-services --cluster ${PROJECT_NAME}-cluster \
    --services ${PROJECT_NAME}-axon ${PROJECT_NAME}-orbit \
    --query 'services[*].{name:serviceName,running:runningCount,desired:desiredCount,status:status}'

# Check Lambda function
aws lambda get-function --function-name ${PROJECT_NAME}-governance \
    --query '{State:State,LastModified:LastModified}'

# Check DynamoDB
aws dynamodb describe-table --table-name ${PROJECT_NAME}-governance-policies \
    --query '{Status:TableStatus,ItemCount:ItemCount}'

Monitoring Review

Key Metrics to Review

# CPU Utilization (should be < 70%)
aws cloudwatch get-metric-statistics --namespace AWS/ECS \
    --metric-name CPUUtilization --statistics Average \
    --start-time $(date -u -d '1 hour ago' +%s) \
    --end-time $(date -u +%s) --period 3600

# Error Rates (should be < 1%)
aws cloudwatch get-metric-statistics --namespace ${PROJECT_NAME}/Axon \
    --metric-name ErrorCount --statistics Sum \
    --start-time $(date -u -d '1 hour ago' +%s)

# Governance Decisions
aws cloudwatch get-metric-statistics --namespace ${PROJECT_NAME}/Governance \
    --metric-name DenialCount --statistics Sum \
    --start-time $(date -u -d '1 hour ago' +%s)

Alert Review

Check CloudWatch dashboard for any active alerts
Review recent error logs in CloudWatch Insights
Verify no unusual spikes in metrics

Weekly Operations

Log Rotation and Archival

# Export old logs to S3
LOG_GROUP="/ecs/${PROJECT_NAME}-axon"
START_TIME=$(date -u -d '30 days ago' +%s)
END_TIME=$(date -u -d '7 days ago' +%s)

aws logs create-export-task \
    --log-group-name $LOG_GROUP \
    --from $START_TIME \
    --to $END_TIME \
    --destination "s3://${PROJECT_NAME}-logs-archive" \
    --destination-prefix "logs/axon/"

Security Audit

# Run security audit
./scripts/security-audit.sh

# Check for new IAM Access Analyzer findings
aws accessanalyzer list-findings --analyzer-arn $ANALYZER_ARN \
    --filter '{"status": [{"eq": ["ACTIVE"]}]}'

Performance Analysis

# Generate performance report
./observability/scripts/metric-report.sh

# Review scaling policies
aws application-autoscaling describe-scaling-policies \
    --service-namespace ecs \
    --resource-id service/${PROJECT_NAME}-cluster/${PROJECT_NAME}-axon

Monthly Operations

Patch Management

ECS Service Updates

# Update ECS service to latest platform version
aws ecs update-service \
    --cluster ${PROJECT_NAME}-cluster \
    --service ${PROJECT_NAME}-axon \
    --platform-version LATEST \
    --force-new-deployment

# Monitor deployment
aws ecs describe-services \
    --cluster ${PROJECT_NAME}-cluster \
    --services ${PROJECT_NAME}-axon \
    --query 'services[0].{events:events[0:3]}'

Lambda Runtime Updates

# Update Lambda runtime (if applicable)
aws lambda update-function-configuration \
    --function-name ${PROJECT_NAME}-governance \
    --runtime python3.9

# Update function code with latest dependencies
aws lambda update-function-code \
    --function-name ${PROJECT_NAME}-governance \
    --zip-file fileb://governance/lambda/lambda.zip

Cost Optimization

# Analyze costs
aws ce get-cost-and-usage \
    --time-period Start=$(date -u -d '30 days ago' +%Y-%m-%d),End=$(date -u +%Y-%m-%d) \
    --granularity MONTHLY \
    --metrics "BlendedCost" \
    --group-by Type=DIMENSION,Key=SERVICE

# Review resource utilization
aws cloudwatch get-metric-statistics \
    --namespace AWS/ECS \
    --metric-name CPUUtilization \
    --statistics Average,Maximum \
    --start-time $(date -u -d '30 days ago' +%s) \
    --period 86400

Incident Response

P0 Incident (System Down)

Immediate Actions (0-5 minutes)

Acknowledge Alert: Confirm receipt via PagerDuty/SNS
Assess Impact: Check system status
```
./scripts/health-check.sh
```
Communicate: Update incident status, notify stakeholders

Investigation (5-15 minutes)

Check Recent Changes:

aws cloudtrail lookup-events \
    --start-time $(date -u -d '1 hour ago' +%s) \
    --lookup-attributes AttributeKey=EventName,AttributeValue=UpdateService

Review Logs:

aws logs filter-log-events \
    --log-group-name /ecs/${PROJECT_NAME}-axon \
    --filter-pattern "ERROR" \
    --start-time $(date -u -d '1 hour ago' +%s)

Check Infrastructure:

aws ecs describe-services --cluster ${PROJECT_NAME}-cluster --services ${PROJECT_NAME}-axon
aws lambda get-function --function-name ${PROJECT_NAME}-governance

Resolution (15-60 minutes)

Restart Services:

aws ecs update-service \
    --cluster ${PROJECT_NAME}-cluster \
    --service ${PROJECT_NAME}-axon \
    --desired-count 0

aws ecs update-service \
    --cluster ${PROJECT_NAME}-cluster \
    --service ${PROJECT_NAME}-axon \
    --desired-count 2

Force Redeployment:

aws ecs update-service \
    --cluster ${PROJECT_NAME}-cluster \
    --service ${PROJECT_NAME}-axon \
    --force-new-deployment

Verify Recovery:

aws ecs wait services-stable --cluster ${PROJECT_NAME}-cluster --services ${PROJECT_NAME}-axon
./scripts/health-check.sh

P1 Incident (Degraded Performance)

Investigation

Check Metrics:

aws cloudwatch get-metric-statistics \
    --namespace AWS/ECS \
    --metric-name CPUUtilization \
    --statistics Maximum \
    --start-time $(date -u -d '1 hour ago' +%s)

Scale Resources:

aws ecs update-service \
    --cluster ${PROJECT_NAME}-cluster \
    --service ${PROJECT_NAME}-axon \
    --desired-count 4

Monitor Recovery:

watch -n 30 aws ecs describe-services \
    --cluster ${PROJECT_NAME}-cluster \
    --services ${PROJECT_NAME}-axon \
    --query 'services[0].runningCount'

P2 Incident (Minor Issues)

Investigation

Log Analysis:

aws logs filter-log-events \
    --log-group-name /ecs/${PROJECT_NAME}-axon \
    --filter-pattern "WARN" \
    --start-time $(date -u -d '1 hour ago' +%s)

Scheduled Fix: Address during next maintenance window

Deployment Procedures

Standard Deployment

Pre-Deployment Checks

# Verify infrastructure
cd infra && terraform plan

# Run tests
cd ../cicd/scripts && ./test.sh

# Backup current state
aws ecs describe-services --cluster ${PROJECT_NAME}-cluster \
    --services ${PROJECT_NAME}-axon > pre-deployment-backup.json

Deployment Steps

# Deploy infrastructure changes
cd infra && terraform apply -auto-approve

# Build and push images
cd ../services/axon && docker build -t ${PROJECT_NAME}/axon:${GITHUB_SHA} .
aws ecr get-login-password | docker login --username AWS --password-stdin ${AWS_ECR_REGISTRY}
docker push ${PROJECT_NAME}/axon:${GITHUB_SHA}

# Update ECS service
aws ecs register-task-definition --cli-input-json file://infra/modules/ecs/task-definitions/axon.json
aws ecs update-service --cluster ${PROJECT_NAME}-cluster --service ${PROJECT_NAME}-axon --force-new-deployment

# Monitor deployment
aws ecs wait services-stable --cluster ${PROJECT_NAME}-cluster --services ${PROJECT_NAME}-axon

Post-Deployment Verification

# Health checks
./scripts/health-check.sh

# Smoke tests
curl -f https://$ALB_DNS/health

# Performance validation
./scripts/load-test.sh

Rollback Procedure

Quick Rollback (0-5 minutes)

# Rollback to previous task definition
PREVIOUS_TASK_ARN=$(aws ecs list-task-definitions \
    --family-prefix ${PROJECT_NAME}-axon \
    --sort DESC \
    --max-items 2 \
    --query 'taskDefinitionArns[1]' \
    --output text)

aws ecs update-service \
    --cluster ${PROJECT_NAME}-cluster \
    --service ${PROJECT_NAME}-axon \
    --task-definition $PREVIOUS_TASK_ARN \
    --force-new-deployment

Full Rollback (5-15 minutes)

# Restore from backup
aws ecs update-service \
    --cluster ${PROJECT_NAME}-cluster \
    --service ${PROJECT_NAME}-axon \
    --cli-input-json file://pre-deployment-backup.json

# Revert infrastructure changes
cd infra && terraform plan -out=rollback.tfplan
terraform apply rollback.tfplan

Backup and Recovery

Automated Backups

DynamoDB Backup

# Daily backup
aws dynamodb create-backup \
    --table-name ${PROJECT_NAME}-governance-policies \
    --backup-name "daily-$(date +%Y%m%d)"

# Cleanup old backups (keep 30 days)
aws dynamodb list-backups --table-name ${PROJECT_NAME}-governance-policies \
    --query 'BackupSummaries[?BackupCreationDateTime<`$(date -u -d "30 days ago" +%s)`].BackupArn' \
    --output text | xargs -I {} aws dynamodb delete-backup --backup-arn {}

Secrets Backup

# Secrets are automatically versioned
# Manual export if needed
aws secretsmanager get-secret-value --secret-id ${PROJECT_NAME}/axon \
    --query 'SecretString' > axon-secrets-backup.json

Recovery Procedures

DynamoDB Recovery

# Restore from backup
BACKUP_ARN=$(aws dynamodb list-backups \
    --table-name ${PROJECT_NAME}-governance-policies \
    --query 'BackupSummaries[0].BackupArn' \
    --output text)

aws dynamodb restore-table-from-backup \
    --target-table-name ${PROJECT_NAME}-governance-policies-restored \
    --backup-arn $BACKUP_ARN

Service Recovery

# Recreate services
aws ecs create-service --cli-input-json file://infra/modules/ecs/services/axon-service.json

# Restore Lambda
aws lambda create-function --function-name ${PROJECT_NAME}-governance \
    --zip-file fileb://governance/lambda/lambda.zip \
    --role $LAMBDA_ROLE_ARN \
    --runtime python3.9 \
    --handler handler.lambda_handler

On-Call Rotation

Responsibilities

Monitor alerts 24/7
Respond to incidents within SLA
Perform daily health checks
Participate in post-mortems

Handover Process

# On-Call Handover

## Current Status
- [ ] All services healthy
- [ ] No active incidents
- [ ] Recent deployments successful
- [ ] Alerts acknowledged

## Known Issues
- [ ] Issue 1: [Description]
- [ ] Issue 2: [Description]

## Recent Changes
- [ ] Deployment on [Date]: [Description]
- [ ] Infrastructure change: [Description]

## Contacts
- Team Lead: [Name] ([Contact])
- DevOps: [Name] ([Contact])
- Security: [Name] ([Contact])

Escalation Paths

On-Call Engineer (0-15 min response)
Team Lead (15-60 min response)
VP Engineering (1-4 hour response)
CEO (4+ hour response - business impact only)

Tools and Resources

Monitoring Tools

CloudWatch: Metrics, logs, alarms
AWS X-Ray: Distributed tracing
CloudWatch Insights: Log analysis
CloudWatch Synthetics: Synthetic monitoring

Diagnostic Tools

AWS CLI: Infrastructure queries
ECS Exec: Container debugging
SSM Session Manager: Instance access
CloudWatch Logs Insights: Log queries

Communication Tools

Slack: Team communication
PagerDuty: Alert management
Jira: Incident tracking
Confluence: Documentation

Performance Tuning

ECS Optimization

# Right-size tasks based on metrics
aws ecs describe-tasks --cluster $CLUSTER_NAME --tasks $TASK_ARN \
    --query 'tasks[0].{cpu:cpu,memory:memory}'

# Update task definition
aws ecs register-task-definition --cli-input-json file://optimized-task-def.json

Lambda Optimization

# Analyze Lambda performance
aws lambda get-function --function-name ${PROJECT_NAME}-governance \
    --query '{MemorySize:MemorySize,Timeout:Timeout}'

# Update configuration
aws lambda update-function-configuration \
    --function-name ${PROJECT_NAME}-governance \
    --memory-size 512 \
    --timeout 30

Database Optimization

# Monitor DynamoDB performance
aws dynamodb describe-table --table-name ${PROJECT_NAME}-governance-policies \
    --query '{ReadCapacityUnits:ProvisionedThroughput.ReadCapacityUnits,WriteCapacityUnits:ProvisionedThroughput.WriteCapacityUnits}'

# Update capacity
aws dynamodb update-table --table-name ${PROJECT_NAME}-governance-policies \
    --billing-mode PAY_PER_REQUEST

Capacity Planning

Growth Projections

Current Load: 1000 requests/minute
Growth Rate: 20% month-over-month
Peak Load: 2000 requests/minute

Scaling Plans

# Auto-scaling configuration
resource "aws_appautoscaling_policy" "axon_target_cpu" {
  name               = "${var.project_name}-axon-cpu-target"
  policy_type        = "TargetTrackingScaling"
  resource_id        = aws_appautoscaling_target.ecs_target.resource_id
  scalable_dimension = aws_appautoscaling_target.ecs_target.scalable_dimension
  service_namespace  = aws_appautoscaling_target.ecs_target.service_namespace

  target_tracking_scaling_policy_configuration {
    predefined_metric_specification {
      predefined_metric_type = "ECSServiceAverageCPUUtilization"
    }
    target_value = 70.0
    scale_in_cooldown  = 300
    scale_out_cooldown = 60
  }
}

Cost Monitoring

# Monthly cost analysis
aws ce get-cost-and-usage \
    --time-period Start=2024-01-01,End=2024-01-31 \
    --granularity MONTHLY \
    --metrics "BlendedCost" \
    --group-by Type=DIMENSION,Key=SERVICE \
    --query 'ResultsByTime[0].Groups[].[Keys[0],Metrics.BlendedCost.Amount]'


**Test Step 7.3:**

```bash
# Validate runbook completeness
cd docs
grep -c "Procedure\|Steps\|Commands" runbook.md

Step 7.4: Setup and API Documentation (1 hour)

File: docs/setup-guide.md

# Setup Guide

## Prerequisites

### AWS Account Setup
1. **Create AWS Account** or use existing account
2. **Configure AWS CLI**:
   ```bash
   aws configure
   # Enter your access key, secret key, default region (us-east-1), and output format (json)

Verify Account Limits:
- ECS: 10 clusters, 100 services
- Lambda: 1000 concurrent executions
- DynamoDB: 40 read/write capacity units

Local Development Setup

Install Required Tools:

# Terraform
curl -fsSL https://apt.releases.hashicorp.com/gpg | sudo apt-key add -
sudo apt-add-repository "deb [arch=amd64] https://apt.releases.hashicorp.com $(lsb_release -cs) main"
sudo apt-get update && sudo apt-get install terraform

# AWS CLI v2
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip awscliv2.zip
sudo ./aws/install

# Docker
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh

# Go (for local development)
wget https://golang.org/dl/go1.21.0.linux-amd64.tar.gz
sudo tar -C /usr/local -xzf go1.21.0.linux-amd64.tar.gz
export PATH=$PATH:/usr/local/go/bin

Clone Repository:

git clone https://github.com/your-org/aws-agent-runtime-zero-trust.git
cd aws-agent-runtime-zero-trust

Initialize Project:
```
./scripts/setup.sh
```

Infrastructure Deployment

Step 1: Configure Environment

# Copy and edit environment configuration
cp .env.local.example .env.local
nano .env.local

# Required variables:
# AWS_REGION=us-east-1
# PROJECT_NAME=agent-runtime
# ENVIRONMENT=dev

Step 2: Deploy Infrastructure

cd infra

# Initialize Terraform
terraform init

# Review planned changes
terraform plan -out=tfplan

# Apply changes
terraform apply tfplan

Step 3: Verify Infrastructure

# Check VPC creation
aws ec2 describe-vpcs --filters Name=tag:Name,Values=${PROJECT_NAME}-vpc

# Verify ECS cluster
aws ecs describe-clusters --clusters ${PROJECT_NAME}-cluster

# Check ECR repositories
aws ecr describe-repositories --repository-names ${PROJECT_NAME}/axon ${PROJECT_NAME}/orbit

Service Deployment

Step 1: Build Services

# Build Axon service
cd services/axon
docker build -t axon:latest .

# Build Orbit service
cd ../orbit
docker build -t orbit:latest .

Step 2: Push Images to ECR

# Authenticate with ECR
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com

# Tag and push Axon
docker tag axon:latest ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/${PROJECT_NAME}/axon:latest
docker push ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/${PROJECT_NAME}/axon:latest

# Tag and push Orbit
docker tag orbit:latest ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/${PROJECT_NAME}/orbit:latest
docker push ${AWS_ACCOUNT_ID}.dkr.ecr.us-east-1.amazonaws.com/${PROJECT_NAME}/orbit:latest

Step 3: Deploy Services

cd infra

# Update task definitions with new image URIs
terraform apply -target=module.ecs

# Deploy services
aws ecs update-service --cluster ${PROJECT_NAME}-cluster --service ${PROJECT_NAME}-axon --force-new-deployment
aws ecs update-service --cluster ${PROJECT_NAME}-cluster --service ${PROJECT_NAME}-orbit --force-new-deployment

Step 4: Configure Governance

cd governance/terraform

# Deploy governance infrastructure
terraform init
terraform apply

# Load default policies
cd ../scripts
python load-policies.py

CI/CD Setup

GitHub Actions Configuration

Create GitHub Repository (if not already done)

Add Secrets to repository settings:

AWS_REGION: us-east-1
AWS_ECR_REGISTRY: <account-id>.dkr.ecr.us-east-1.amazonaws.com
AWS_GITHUB_ACTIONS_ROLE: arn:aws:iam::<account-id>:role/github-actions-role
AWS_DEPLOY_ROLE: arn:aws:iam::<account-id>:role/deploy-role
PROJECT_NAME: agent-runtime

Enable GitHub Actions in repository settings
Configure Branch Protection:
- Require pull request reviews
- Require status checks (build, security, test)
- Require branches to be up to date

OIDC Provider Setup

# This is handled by Terraform in infra/modules/cicd/github-oidc.tf
cd infra
terraform apply -target=module.cicd

Verification

Health Checks

# Get ALB DNS name
ALB_DNS=$(aws elbv2 describe-load-balancers --names ${PROJECT_NAME}-alb --query 'LoadBalancers[0].DNSName' --output text)

# Test health endpoints
curl -f https://${ALB_DNS}/health

# Test governance
curl -X POST https://${ALB_DNS}/dispatch \
  -H "Content-Type: application/json" \
  -d "{}"

Monitoring Setup

# Check CloudWatch dashboards
aws cloudwatch list-dashboards --query "DashboardEntries[?contains(DashboardName, \`${PROJECT_NAME}\`)]"

# Verify alarms
aws cloudwatch describe-alarms --alarm-name-prefix "${PROJECT_NAME}"

# Check log groups
aws logs describe-log-groups --log-group-name-prefix "/ecs/${PROJECT_NAME}"

Troubleshooting

Common Issues

Terraform Apply Fails

# Check AWS limits
aws service-quotas get-service-quota --service-code ecs --quota-code L-21DAFBDC

# Verify permissions
aws sts get-caller-identity

# Check Terraform state
cd infra
terraform state list

Service Deployment Fails

# Check ECS service events
aws ecs describe-services --cluster ${PROJECT_NAME}-cluster --services ${PROJECT_NAME}-axon \
  --query 'services[0].events[0:5]'

# Check task status
aws ecs list-tasks --cluster ${PROJECT_NAME}-cluster --service-name ${PROJECT_NAME}-axon
aws ecs describe-tasks --cluster ${PROJECT_NAME}-cluster --tasks <task-arn>

Image Push Fails

# Check ECR permissions
aws ecr get-authorization-token

# Verify repository exists
aws ecr describe-repositories --repository-names ${PROJECT_NAME}/axon

Logs and Debugging

Application Logs

# Axon logs
aws logs tail /ecs/${PROJECT_NAME}-axon --follow

# Orbit logs
aws logs tail /ecs/${PROJECT_NAME}-orbit --follow

# Governance logs
aws logs tail /aws/lambda/${PROJECT_NAME}-governance --follow

Infrastructure Logs

# VPC Flow Logs
aws ec2 describe-flow-logs --query 'FlowLogs[*].FlowLogId'

# CloudTrail events
aws cloudtrail lookup-events --max-items 10

Next Steps

Configure Monitoring: Set up alerts and notifications
Security Review: Run security audit and penetration testing
Performance Testing: Load test the system
Documentation: Complete operational runbooks
Backup Strategy: Configure automated backups

Support

For issues or questions:

Check the troubleshooting guide
Review architecture documentation
Create an issue in the GitHub repository
Contact the DevOps team

Cost Estimation

Monthly Costs (approximate)

ECS Fargate: $50-100 (2 tasks, 24/7)
Lambda: $5-10 (governance calls)
DynamoDB: $5-15 (on-demand)
CloudWatch: $10-20 (logs and metrics)
ALB: $15-25 (data transfer)
ECR: $5 (storage)
Secrets Manager: $5 (secrets)

Total Estimated Monthly Cost: $90-190

Cost Optimization

Use Fargate Spot for non-production
Configure auto-scaling to scale to zero
Set up log retention policies
Use reserved instances for steady workloads


**File: docs/api.md**

```markdown
# API Documentation

## Overview

The AWS Agent Runtime exposes REST APIs for health monitoring, reasoning execution, and request dispatching with governance.

## Base URL

https:///


## Authentication

All API requests require AWS SigV4 signing. Requests without proper signatures will be rejected with 401 Unauthorized.

### SigV4 Signing Example
```bash
# Using AWS CLI for testing
aws lambda invoke --function-name test-signer output.json --payload '{"message": "test"}'

Endpoints

GET /health

Health check endpoint for load balancer monitoring.

Response:

{
  "status": "healthy",
  "service": "orbit",
  "timestamp": "2024-01-15T10:30:00Z",
  "version": "1.0.0"
}

Status Codes:

200 OK: Service is healthy
503 Service Unavailable: Service is unhealthy

POST /dispatch

Main endpoint for dispatching requests to the Axon reasoning service with governance checks.

Request:

{
  "intent": "call_reasoning",
  "context": {
    "user_id": "user123",
    "request_id": "req456"
  }
}

Response (Success):

{
  "status": "success",
  "message": "Axon heartbeat OK",
  "correlation_id": "abc123-def456",
  "timestamp": "2024-01-15T10:30:00Z",
  "governance": {
    "allowed": true,
    "reason": "Request authorized",
    "decision_time_ms": 45
  }
}

Response (Governance Denied):

{
  "status": "denied",
  "reason": "Rate limit exceeded",
  "correlation_id": "abc123-def456",
  "timestamp": "2024-01-15T10:30:00Z",
  "governance": {
    "allowed": false,
    "reason": "Rate limit exceeded",
    "decision_time_ms": 23
  }
}

Status Codes:

200 OK: Request processed successfully
403 Forbidden: Governance denied the request
500 Internal Server Error: Server error
503 Service Unavailable: Service temporarily unavailable

GET /metrics

Prometheus-compatible metrics endpoint (if enabled).

Response:

# HELP orbit_requests_total Total number of requests
# TYPE orbit_requests_total counter
orbit_requests_total{method="POST",endpoint="/dispatch",status="200"} 12543

# HELP orbit_governance_decisions_total Governance decisions made
# TYPE orbit_governance_decisions_total counter
orbit_governance_decisions_total{decision="allowed"} 12456
orbit_governance_decisions_total{decision="denied"} 87

Request/Response Headers

Request Headers

X-Correlation-ID: Unique request identifier (auto-generated if not provided)
Authorization: AWS SigV4 signature
X-Amz-Date: Request timestamp
Content-Type: application/json

Response Headers

X-Correlation-ID: Echoed correlation ID
Content-Type: application/json
X-Request-ID: Internal request identifier

Error Handling

Error Response Format

{
  "error": "Error message",
  "correlation_id": "abc123-def456",
  "timestamp": "2024-01-15T10:30:00Z",
  "details": {
    "field": "intent",
    "issue": "required field missing"
  }
}

Common Errors

INVALID_SIGNATURE: SigV4 signature verification failed
MISSING_AUTHORIZATION: Authorization header missing
GOVERNANCE_DENIED: Request blocked by governance policy
SERVICE_UNAVAILABLE: Backend service temporarily unavailable
RATE_LIMIT_EXCEEDED: Too many requests

Rate Limiting

Global Rate Limit: 1000 requests per minute
Per IP: 100 requests per minute
Governance Calls: 100 requests per minute

Rate limit headers are included in responses:

X-RateLimit-Limit: 1000
X-RateLimit-Remaining: 987
X-RateLimit-Reset: 1642156800

Monitoring and Observability

Metrics

Request count, latency, error rates
Governance decision counts
Service health status

Logs

All requests are logged with correlation IDs for tracing:

2024-01-15T10:30:00Z [INFO] REQUEST [abc123-def456] POST /dispatch 200 45ms
2024-01-15T10:30:00Z [INFO] GOVERNANCE [abc123-def456] allowed: Request authorized
2024-01-15T10:30:00Z [INFO] AXON_CALL [abc123-def456] success: Axon heartbeat OK

Tracing

Distributed tracing with AWS X-Ray (when enabled):

Request flow: ALB → Orbit → Governance → Axon
Service dependencies and latency
Error propagation

SDK Examples

Python Client

import boto3
import requests
from botocore.awsrequest import AWSRequest
from botocore.auth import SigV4Auth

class AgentRuntimeClient:
    def __init__(self, endpoint_url: str, region: str = 'us-east-1'):
        self.endpoint_url = endpoint_url
        self.region = region
        self.session = boto3.Session()

    def _sign_request(self, method: str, url: str, body: str = None) -> dict:
        """Sign request with SigV4"""
        request = AWSRequest(
            method=method,
            url=url,
            data=body
        )

        SigV4Auth(self.session.get_credentials(), 'execute-api', self.region).add_auth(request)

        return {
            'Authorization': request.headers['Authorization'],
            'X-Amz-Date': request.headers['X-Amz-Date']
        }

    def dispatch(self, intent: str = 'call_reasoning', context: dict = None) -> dict:
        """Dispatch a request"""
        url = f"{self.endpoint_url}/dispatch"
        payload = {
            'intent': intent,
            'context': context or {}
        }

        headers = self._sign_request('POST', url, json.dumps(payload))
        headers['Content-Type'] = 'application/json'

        response = requests.post(url, json=payload, headers=headers)
        return response.json()

    def health_check(self) -> dict:
        """Check service health"""
        url = f"{self.endpoint_url}/health"
        headers = self._sign_request('GET', url)

        response = requests.get(url, headers=headers)
        return response.json()

# Usage
client = AgentRuntimeClient('https://your-alb-dns')
result = client.dispatch('call_reasoning', {'user_id': 'user123'})
print(result)

JavaScript/Node.js Client

const AWS = require('aws-sdk');
const axios = require('axios');

class AgentRuntimeClient {
  constructor(endpointUrl, region = 'us-east-1') {
    this.endpointUrl = endpointUrl;
    this.region = region;
    this.credentials = new AWS.CredentialProviderChain();
  }

  async signRequest(method, url, body = null) {
    const request = {
      method: method,
      url: url,
      body: body,
      headers: {}
    };

    const signer = new AWS.Signers.V4(request, 'execute-api');
    signer.addAuthorization(this.credentials, new Date());

    return request.headers;
  }

  async dispatch(intent = 'call_reasoning', context = {}) {
    const url = `${this.endpointUrl}/dispatch`;
    const payload = { intent, context };

    const headers = await this.signRequest('POST', url, JSON.stringify(payload));
    headers['Content-Type'] = 'application/json';

    const response = await axios.post(url, payload, { headers });
    return response.data;
  }

  async healthCheck() {
    const url = `${this.endpointUrl}/health`;
    const headers = await this.signRequest('GET', url);

    const response = await axios.get(url, { headers });
    return response.data;
  }
}

// Usage
const client = new AgentRuntimeClient('https://your-alb-dns');
const result = await client.dispatch('call_reasoning', { userId: 'user123' });
console.log(result);

Go Client

package main

import (
    "bytes"
    "context"
    "crypto/tls"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
    "time"

    "github.com/aws/aws-sdk-go/aws"
    "github.com/aws/aws-sdk-go/aws/credentials"
    "github.com/aws/aws-sdk-go/aws/session"
    v4 "github.com/aws/aws-sdk-go/aws/signer/v4"
)

type AgentRuntimeClient struct {
    endpoint string
    signer   *v4.Signer
    client   *http.Client
}

type DispatchRequest struct {
    Intent  string                 `json:"intent"`
    Context map[string]interface{} `json:"context,omitempty"`
}

type DispatchResponse struct {
    Status       string    `json:"status"`
    Message      string    `json:"message,omitempty"`
    Reason       string    `json:"reason,omitempty"`
    CorrelationID string   `json:"correlation_id"`
    Timestamp    time.Time `json:"timestamp"`
}

func NewAgentRuntimeClient(endpoint string) *AgentRuntimeClient {
    sess := session.Must(session.NewSession())
    signer := v4.NewSigner(sess.Config.Credentials)

    return &AgentRuntimeClient{
        endpoint: endpoint,
        signer:   signer,
        client: &http.Client{
            Timeout: 30 * time.Second,
            Transport: &http.Transport{
                TLSClientConfig: &tls.Config{
                    InsecureSkipVerify: false,
                },
            },
        },
    }
}

func (c *AgentRuntimeClient) Dispatch(ctx context.Context, intent string, context map[string]interface{}) (*DispatchResponse, error) {
    url := c.endpoint + "/dispatch"

    reqData := DispatchRequest{
        Intent:  intent,
        Context: context,
    }

    jsonData, err := json.Marshal(reqData)
    if err != nil {
        return nil, fmt.Errorf("failed to marshal request: %w", err)
    }

    req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
    if err != nil {
        return nil, fmt.Errorf("failed to create request: %w", err)
    }

    req.Header.Set("Content-Type", "application/json")

    // Sign the request
    _, err = c.signer.Sign(req, bytes.NewReader(jsonData), "execute-api", "us-east-1", time.Now())
    if err != nil {
        return nil, fmt.Errorf("failed to sign request: %w", err)
    }

    resp, err := c.client.Do(req)
    if err != nil {
        return nil, fmt.Errorf("request failed: %w", err)
    }
    defer resp.Body.Close()

    body, err := io.ReadAll(resp.Body)
    if err != nil {
        return nil, fmt.Errorf("failed to read response: %w", err)
    }

    var response DispatchResponse
    if err := json.Unmarshal(body, &response); err != nil {
        return nil, fmt.Errorf("failed to unmarshal response: %w", err)
    }

    if resp.StatusCode != http.StatusOK && resp.StatusCode != http.StatusForbidden {
        return &response, fmt.Errorf("API returned status %d: %s", resp.StatusCode, string(body))
    }

    return &response, nil
}

func (c *AgentRuntimeClient) HealthCheck(ctx context.Context) (map[string]interface{}, error) {
    url := c.endpoint + "/health"

    req, err := http.NewRequestWithContext(ctx, "GET", url, nil)
    if err != nil {
        return nil, fmt.Errorf("failed to create request: %w", err)
    }

    // Sign the request
    _, err = c.signer.Sign(req, nil, "execute-api", "us-east-1", time.Now())
    if err != nil {
        return nil, fmt.Errorf("failed to sign request: %w", err)
    }

    resp, err := c.client.Do(req)
    if err != nil {
        return nil, fmt.Errorf("request failed: %w", err)
    }
    defer resp.Body.Close()

    var result map[string]interface{}
    if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
        return nil, fmt.Errorf("failed to decode response: %w", err)
    }

    return result, nil
}

func main() {
    client := NewAgentRuntimeClient("https://your-alb-dns")

    // Health check
    health, err := client.HealthCheck(context.Background())
    if err != nil {
        fmt.Printf("Health check failed: %v\n", err)
        return
    }
    fmt.Printf("Health: %+v\n", health)

    // Dispatch request
    response, err := client.Dispatch(context.Background(), "call_reasoning", map[string]interface{}{
        "user_id": "user123",
    })
    if err != nil {
        fmt.Printf("Dispatch failed: %v\n", err)
        return
    }
    fmt.Printf("Response: %+v\n", response)
}

Webhooks and Callbacks

Governance Decision Webhooks (Future)

When governance decisions are made, webhooks can be configured to notify external systems:

{
  "event": "governance_decision",
  "service": "orbit",
  "intent": "call_reasoning",
  "allowed": true,
  "reason": "Request authorized",
  "correlation_id": "abc123-def456",
  "timestamp": "2024-01-15T10:30:00Z",
  "context": {
    "user_id": "user123",
    "ip_address": "192.168.1.1"
  }
}

Versioning

API versioning follows semantic versioning (MAJOR.MINOR.PATCH).

Current Version: 1.0.0

Initial release with core functionality
Governance integration
SigV4 authentication

Backward Compatibility

All changes maintain backward compatibility within major versions
Deprecation notices provided 3 months before removal
New features are additive

SLA and Support

Service Level Agreement

Availability: 99.9% uptime
Latency: p95 < 500ms
Support: 24/7 for critical issues

Support Channels

Documentation: This API documentation
Issues: GitHub repository issues
Email: api-support@barnabus.ai
Slack: #api-support

Changelog

Version 1.0.0 (2024-01-15)

Initial API release
Health check endpoint
Dispatch endpoint with governance
SigV4 authentication
Structured logging


**Test Step 7.4:**

```bash
# Validate setup guide
cd docs
markdown-link-check setup-guide.md

# Check API documentation
grep -A 5 -B 5 "GET /health\|POST /dispatch" api.md

Acceptance Criteria

Complete architecture documentation with diagrams
Comprehensive operations runbook
Failure and resilience plan documented
Security model thoroughly documented
Setup instructions clear and complete
API documentation with examples
Troubleshooting guides created
Performance characteristics documented
README updated with full instructions

Rollback Procedure

If documentation deployment fails:

# Revert documentation changes
git revert <documentation-commit>

# Restore previous README
git checkout HEAD~1 -- README.md

Testing Script

Create tasks/test-task-7.sh:

#!/bin/bash
set -e

echo "Testing Task 7: Documentation"

# Check all documentation files exist
DOC_FILES=(
  "docs/architecture.md"
  "docs/failure-resilience.md"
  "docs/security.md"
  "docs/runbook.md"
  "docs/setup-guide.md"
  "docs/api.md"
)

for file in "${DOC_FILES[@]}"; do
  if [ ! -f "$file" ]; then
    echo "❌ Documentation file missing: $file"
    exit 1
  fi
done
echo "✅ All documentation files present"

# Validate README completeness
if ! grep -q "Setup Guide\|API Documentation\|Architecture" README.md; then
  echo "❌ README missing key sections"
  exit 1
fi
echo "✅ README is comprehensive"

# Check documentation links
cd docs
for file in *.md; do
  if ! markdown-link-check "$file" --quiet; then
    echo "⚠️  Broken links found in $file"
  fi
done
echo "✅ Documentation links validated"

# Check setup guide for key commands
if ! grep -q "terraform init\|docker build" setup-guide.md; then
  echo "❌ Setup guide missing key commands"
  exit 1
fi
echo "✅ Setup guide includes key commands"

echo ""
echo "🎉 Task 7 Documentation: PASSED"

FilesExpand file tree

task-7-documentation.md

Latest commit

History

task-7-documentation.md

File metadata and controls

Task 7: Documentation

Overview

Objectives

Prerequisites

File Structure

Implementation Steps

Step 7.1: Architecture Documentation (1-2 hours)

Step 7.2: Failure and Resilience Plan (1 hour)

Lambda Function Failures

2. Infrastructure Failures

VPC/Network Issues

Database Connectivity

3. Security Incidents

Unauthorized Access Attempts

Secret Compromise

Resilience Strategies

High Availability

Multi-AZ Deployment

Auto-Scaling

Fault Tolerance

Circuit Breakers

Retry Logic

Disaster Recovery

Backup Strategy

Recovery Time Objectives (RTO)

Recovery Point Objectives (RPO)

Incident Response

Severity Levels

Response Process

1. Detection

2. Assessment

3. Communication

4. Resolution

5. Post-Mortem

Performance Degradation

Slow Response Times

Resource Exhaustion

Testing and Validation

Chaos Engineering

Load Testing

Failover Testing

Cost Optimization

Resource Rightsizing

Auto-Scaling Configuration

Maintenance Windows

Scheduled Maintenance

Communication Plan

Metrics and KPIs

Availability Metrics

Performance Metrics

Business Metrics

Monitoring Dashboard

Step 7.3: Operations Runbook (1 hour)

Manual Verification

Monitoring Review

Key Metrics to Review

Alert Review

Weekly Operations

Log Rotation and Archival

Security Audit

Performance Analysis

Monthly Operations

Patch Management

ECS Service Updates

Lambda Runtime Updates

Cost Optimization

Incident Response

P0 Incident (System Down)

Immediate Actions (0-5 minutes)

Investigation (5-15 minutes)

Resolution (15-60 minutes)

P1 Incident (Degraded Performance)

Investigation

P2 Incident (Minor Issues)