Infrastructure as Code Blueprints

Accelerate your deployment with production-ready Terraform modules. We map every sandbox capability to best-practice Google Cloud services, secure by default.

8
Blueprints
AlloyDB + BigQuery
Storage
IAM + KMS
Security

The Universal Ledger Architecture

At the heart of every sandbox is the Universal Ledger (GCUL). Hosted on AlloyDB, it provides a double-entry accounting core that anchors all financial state. Services communicate asynchronously via Pub/Sub, ensuring that your architecture is loosely coupled and highly resilient.

Treasury Operations

Manage reserve assets with a double-entry ledger on AlloyDB. Trigger automated sweeps via Cloud Scheduler and visualize liquidity coverage in Looker.

Key Components
  • Cloud Run Services (Mint/Burn)
  • AlloyDB (Ledger)
  • Pub/Sub (Sweep Triggers)
Ledger Integration

The ledger acts as the single source of truth, recording every mint/burn event and sweep operation for auditability.

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Tokenized Funds

Calculate NAV and process subscriptions using Vertex AI pipelines. Mirror fund state to BigQuery for historical performance analysis.

Key Components
  • Vertex AI (NAV Calculation)
  • Cloud Run (AP Gateway)
  • BigQuery (Fund Data)
Ledger Integration

Ledger entries track investor positions and daily yield accruals, ensuring precise NAV reporting.

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Cross-Chain Settlement

Orchestrate bridge transfers across EVM and Solana devnets. Use Pub/Sub to decouple attestation logic from settlement execution.

Key Components
  • GKE Autopilot (Chain Nodes)
  • Pub/Sub (Bridge Events)
  • BigQuery (Risk Metrics)
Ledger Integration

Off-chain ledger state is reconciled against on-chain finality to prevent double-spending during reorgs.

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Liquidity Routing

Optimize trade execution with a Cloud Run routing engine. Enforce risk policies and track slippage via real-time analytics.

Key Components
  • Cloud Run (Router)
  • Memorystore (State Cache)
  • Looker (Execution Quality)
Ledger Integration

Record every trade decision and execution result to verify compliance with best execution policies.

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Hybrid Settlement

Bridge internal ledgers with public blockchains. Automate reconciliation and exception handling using Cloud Workflows.

Key Components
  • Cloud Workflows (Reconciliation)
  • Cloud SQL (Internal Ledger)
  • Secret Manager (Keys)
Ledger Integration

Maintain a perfect mirror of on-chain state, automatically flagging and routing mismatches for review.

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Regulatory Compliance

Screen transactions in real-time and generate SARs with Vertex AI. Store immutable audit trails in BigQuery.

Key Components
  • Cloud Run (Policy Engine)
  • Vertex AI (SAR Gen)
  • BigQuery (Audit Log)
Ledger Integration

Link every compliance decision to the specific transaction it governed, creating a complete audit trail.

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Protocol Integration

Test against realistic issuer mocks hosted on Cloud Run. Securely manage signing keys with Cloud KMS.

Key Components
  • Cloud Run (Issuer Mocks)
  • Cloud KMS (Signing)
  • Pub/Sub (Webhooks)
Ledger Integration

Capture all issuer interactions to validate idempotency and error handling logic.

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Agentic Operations

Deploy autonomous financial agents with shared memory in Firestore. Monitor their decisions via Cloud Logging.

Key Components
  • Cloud Run (Agents)
  • Firestore (Memory)
  • Cloud Logging (Oversight)
Ledger Integration

Agents write their intent and actions to the ledger, allowing for replayable debugging and oversight.

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Deployment Path

Go from zero to a fully operational sandbox environment in four steps. Our IaC templates handle the heavy lifting of IAM roles, networking, and service configuration.

01

Deploy Infrastructure

Use our Terraform modules to provision the core VPC, AlloyDB instance, and GKE clusters.

02

Configure Services

Deploy the sandbox microservices to Cloud Run and bind them to the shared ledger and Pub/Sub topics.

03

Seed Data

Run the included scripts to populate the environment with realistic user accounts, balances, and market data.

04

Validate & Scale

Execute end-to-end tests, monitor performance via Cloud Trace, and scale up resources as needed.