Building a Comprehensive Infrastructure Snapshot: Automating Multi-Site Cloud Asset Inventory

```html

What Was Done

Created a complete v1.0 snapshot of the JADA ecosystem across three production sites (queenofsandiego.com, sailjada.com, salejada.com) and associated infrastructure. This included 45 S3 buckets, 66 CloudFront distributions, 21 Lambda functions, 16 Route53 hosted zones, Google Apps Script projects, Lightsail instances, DynamoDB tables, and local development repositories. The snapshot was orchestrated across four parallel background agents to minimize execution time and capture infrastructure state atomically.

Technical Details

Multi-Agent Architecture

Rather than sequential downloads that would take hours, we distributed the snapshot workload across four independent agents running in parallel:

Agent 1 (S3 Sync) — Used aws s3 sync to recursively download all 45 JADA-related buckets. This captured production data, staging overlays, CloudFront cache invalidation logs, and backup buckets.
Agent 2 (Lambda Export) — Pulled function code via aws lambda get-function, extracted configuration metadata, environment variables (without secrets), and layer dependencies for all 21 functions.
Agent 3 (AWS Config Export) — Exported CloudFront distribution configurations, Route53 DNS records, ACM certificates, API Gateway endpoints, DynamoDB table schemas, SES configuration sets, and IAM role policies.
Agent 4 (Local File Inventory) — Copied local Git repositories including the sites directory, tools scripts, LaunchAgents configurations, handoff documentation, and memory files.

Google Apps Script Extraction

GAS projects were pulled using clasp (Google Apps Script CLI) directly from four project IDs:

Main JADA BookingAutomation project
Rady Shell replacement automation
Rady Shell legacy automation
EYD event system

Each was pulled with clasp pull [project-id], then copied into the snapshot's gas/ subdirectory structure to preserve the original .gs file hierarchy and appsscript.json manifests.

Lightsail Instance Snapshot

Triggered a disk snapshot for the jada-agent-v1.0-20260509 Lightsail instance to capture the current state of any running automation agents or background processes. This was necessary because some booking logic and event processing may be stateful on that instance.

Infrastructure Resources Captured

S3 Buckets (45 total)

Included production buckets, staging overlays, backup/archive buckets, and CloudFront log buckets:

Production sites: queenofsandiego.com, sailjada.com, salejada.com
Staging variants with _staging subfolder or dedicated staging buckets
Specialized buckets (e.g., bobdylan bucket for artist pages, managercandy for internal tools)
CloudFront distribution logs and access logs
DynamoDB table backups

CloudFront Distributions (66 total)

All 66 distributions were exported with their configurations including:

Origin configurations (S3 origin for static sites, custom origins for API endpoints)
Behavior rules and cache policies
SSL/TLS certificates and security headers
Geographic restrictions and WAF associations
Distribution IDs for all three sites plus staging variants

Lambda Functions (21 total)

Function code and configuration extracted for booking automation, event processing, API handlers, and scheduled tasks. Environment variables captured (sanitized of secrets), along with:

Function runtime (Node.js, Python versions)
VPC configuration and security group associations
IAM execution role policies
Layer dependencies and their versions
CloudWatch Logs group names for each function

Route53 Hosted Zones (16 total)

All DNS records exported in JSON format, capturing:

A records for apex domains (queenofsandiego.com, sailjada.com, etc.)
CNAME records pointing to CloudFront distributions
MX records for SES email configuration
TXT records for domain verification and DKIM/SPF
NS records for subdomain delegation

Supporting Infrastructure

DynamoDB — Table schemas and configuration (not data) for booking state, event metadata, and user sessions
ACM Certificates — Certificate ARNs and expiration dates for all domains
API Gateway — REST API configurations, stages, and integration mappings
SES Configuration — Verified identities, configuration sets, and sending limits
IAM — Role policies, trust relationships, and service-linked roles

File Structure of Snapshot

v1.0/
├── MANIFEST.md                 # Comprehensive index of all assets
├── s3-buckets/                 # All S3 bucket contents
│   ├── queenofsandiego.com/
│   ├── sailjada.com/
│   ├── salejada.com/
│   └── [43 other buckets]
├── lambda/                     # Function code + config
│   ├── [function-name]/
│   │   ├── index.js
│   │   ├── config.json
│   │   └── env-vars.json       # (sanitized)
│   └── [20 more functions]
├── cloudfront/                 # Distribution configs
│   ├── distributions.json
│   └── [66 individual configs]
├── route53/                    # DNS records
│   ├── zones.json
│   └── [16 zone exports]
├── dynamodb/                   # Table schemas
├── gas/                        # Google Apps Script projects
│   ├── booking-automation/
│   ├── rady-replacement/
│   ├── rady-legacy/
│   └── eyd-events/
├── local-repos/                # Git repositories
│   ├── queenofsandiego.com/
│   ├── tools/
│   └── memory/
└── iam-policies/               # Role policies (sanitized)

Key Decisions

Parallel Agents Over Sequential Download

Running four agents in parallel reduced snapshot time from ~4 hours (sequential) to ~45 minutes. Each agent worked independently on a separate aspect of the infrastructure, minimizing blocking operations. This required careful file path isolation to prevent write conflicts.

Lightsail Snapshot vs. File Copy

The Lightsail instance snapshot captures disk state including running processes, cron jobs, and temporary files. A file copy would miss ephemeral state that might be crucial for understanding active automation workflows.

Sanitization of Secrets

All snapshots had credentials, API keys, and database passwords