Infrastructure

Six services. Global edge. Near real-time.

Explore the service responsibilities and infrastructure approach behind SpineWorkspace. Deployment regions, performance, and recovery behavior depend on the configured environment.

See the architecture

Normalization to UI

Near real-time

Continuous entity updates

Purpose-built services

Single-responsibility microservices

Edge distribution

Global

Cloudflare Workers at the edge

Firebase Architecture

Real-time sync and event-driven state

Realtime Database

Near real-time entity state updates to every client.

State Persistence

Survives refreshes, timeouts, and device switches.

Cloud Functions Eventing

Pure event-driven downstream processing — no polling.

Service Architecture

Six microservices, one clear responsibility each

Spine Service

Business entities, source relationships, and schema governance.

Context Service

Real-time view assembly and conflict detection.

Twin Service

AI reasoning engine and signal detection.

Approval Service

Governance enforcement and human-in-the-loop routing logic.

Action Service

Authorized execution with observed effects and reconciliation.

Notification Service

Alert routing and digest generation — no spam.

Cloudflare Edge & Scale

Edge distribution and async queue management

Cloudflare Edge

Workers at edge for low-latency global access.

D1 / R2 Storage

Database and object-storage responsibilities depend on the configured deployment.

Queue Management

Async work requires retry, failure handling, and reconciliation.

Built for scale from day one.

Walk through the full architecture in a 30-minute session.

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Infrastructure Deep Dive

Built for speed. Built to last.

Scroll to explore the infrastructure that powers continuous sync and reliable delivery.

Real-Time Sync

The workspace shows the result

Event-driven updates help the Workspace reflect connected work. Source freshness, delivery delays, and reconciliation remain visible concerns.

WebSocket-based real-time data push

Optimistic UI updates with server reconciliation

Change notifications across all connected views

Offline-capable with automatic sync on reconnect

Data Pipeline

One connection

Raw data flows through extraction, validation, dedup, entity resolution, enrichment, scoring, indexing, and distribution.

Parallel processing across pipeline stages

Dead letter queue for failed transformations

Pipeline metrics with stage-level latency tracking

Automatic retry with exponential backoff

Edge Network

Edge delivery and explicit storage boundaries

Static assets and application requests have different delivery and storage needs. Data locations and cross-border flows require deployment-specific review.

Edge delivery where supported by the deployment

Storage locations reviewed separately from delivery

Measure latency using the actual user journey

Verify failover and recovery for the target environment

Observability

Full-stack monitoring and alerting

Observe system health, pipeline throughput, connector status, and error rates. Monitoring coverage and incident response must be agreed for the deployment.

Real-time system health dashboard

Pipeline throughput and latency metrics

Connector health monitoring with auto-reconnect

Automated incident detection and escalation

Reliability

Plan, observe, and verify recovery

Deployment and recovery plans should describe how changes are introduced, failures detected, and service restored. Test those plans in the target environment.

Staged deployment and recovery procedures

Migration planning with explicit service-impact review

Health checks appropriate to each service

Incident escalation and recovery verification