AppFolio Reference Architecture
Overview
Production architecture for property management integrations with the AppFolio Stack API. Designed for multi-property portfolios requiring real-time vacancy tracking, tenant lifecycle management, work order routing, and accounting reconciliation. Key design drivers: data freshness for leasing decisions, idempotent sync for financial accuracy, and tenant-facing portal responsiveness.
Prerequisites
- A provider-verified contract for endpoints, authentication, events (if any), rate limits, data residency, and permitted downstream accounting/CRM effects.
- Separate staging and production environments with managed secrets, synthetic fixtures, durable queues/idempotency stores, and named reconciliation owners.
- Data classification that limits dashboard and cache models to the smallest permitted fields; tenant contact, payment, and balance data require separate encrypted stores and access controls.
Instructions
- Build the contract-bound client and safe-read service layer first, with endpoint budgets, minimized cache entries, and observability before adding write or event processing.
- Enable provider events only after the contract and durable raw-body, signature, persistence, and replay boundaries have been proven; otherwise use bounded incremental reconciliation.
- Persist an idempotency/reconciliation record before any work-order, accounting, tenant, or lease mutation and require explicit authorization.
- Validate the architecture in staging with synthetic data, a forced provider failure, duplicate event/retry, and rollback rehearsal before promotion.
Architecture Diagram
Dashboard (React) ──→ Property Service ──→ Redis Cache ──→ AppFolio Stack API
↓ /properties
Queue (Bull) ──→ Sync Worker /tenants
↓ /leases
Event Handler ←── Provider events* /work-orders
↓ /bills
Accounting Sync ──→ QuickBooks/Xero
* Use provider events only when the active contract confirms their delivery
and security semantics; otherwise feed the queue from bounded reconciliation.
Service Layer
class PropertyService {
constructor(private client: AppFolioClient, private cache: CacheLayer) {}
async getPortfolioSummary(propertyIds: string[]): Promise<PortfolioSummary> {
const properties = await Promise.all(
propertyIds.map(id => this.cache.getOrFetch(`prop:${id}`, () => this.client.get(`/properties/${id}`)))
);
return { totalUnits: properties.reduce((sum, p) => sum + p.units.length, 0),
vacancyRate: this.calcVacancy(properties), pendingWorkOrders: await this.getPendingOrders(propertyIds) };
}
async routeWorkOrder(order: WorkOrderRequest): Promise<string> {
const property = await this.client.get(`/properties/${order.propertyId}`);
const vendor = this.selectVendor(property.region, order.category);
return this.client.post('/work-orders', { ...order, assigned_vendor: vendor });
}
}
Caching Strategy
const CACHE_CONFIG = {
properties: { ttl: 300, prefix: 'prop' }, // 5 min — changes infrequently
tenants: { ttl: 120, prefix: 'tenant' }, // 2 min — moderate churn
leases: { ttl: 60, prefix: 'lease' }, // 1 min — financial accuracy
workOrders: { ttl: 30, prefix: 'wo' }, // 30s — real-time tracking
vacancies: { ttl: 15, prefix: 'vacancy' }, // 15s — leasing speed matters
};
// Webhook-driven invalidation: AppFolio events flush matching cache keys immediately
Event Pipeline
class PropertyEventPipeline {
private queue = new Bull('appfolio-events', { redis: process.env.REDIS_URL });
async onWebhook(event: AppFolioEvent): Promise<void> {
await this.queue.add(event.type, event, { attempts: 3, backoff: { type: 'exponential', delay: 2000 } });
}
async processLeaseEvent(event: LeaseEvent): Promise<void> {
if (event.type === 'lease.signed') await this.updateVacancy(event.propertyId);
if (event.type === 'lease.terminated') await this.triggerMoveOutWorkflow(event);
}
async processWorkOrderEvent(event: WorkOrderEvent): Promise<void> {
if (event.status === 'completed') await this.reconcileVendorInvoice(event);
}
}
Data Model
interface Property { id: string; name: string; address: Address; units: Unit[]; region: string; }
interface TenantRef { id: string; leaseId: string; contactCiphertextRef: string; }
interface Lease { id: string; propertyId: string; unitId: string; tenantId: string; startDate: string; endDate: string; monthlyRent: number; status: 'active' | 'pending' | 'terminated'; }
interface WorkOrder { id: string; propertyId: string; unitId: string; category: 'plumbing' | 'electrical' | 'hvac' | 'general'; status: string; assignedVendor: string; }
Scaling Considerations
- Partition sync workers by property region to avoid cross-region API rate limits
- Use read replicas for dashboard queries; write path goes through event pipeline
- Batch tenant notifications (rent reminders, maintenance updates) via queue to avoid email rate limits
- Cache vacancy data aggressively — leasing agents hit this endpoint 10x more than any other
- Shard work order routing by property portfolio to enable independent scaling per management group
Error Handling
| Component | Failure Mode | Recovery |
|---|---|---|
| Property sync | AppFolio 429 rate limit | Exponential backoff with jitter, per-property circuit breaker |
| Lease webhook | Duplicate event delivery | Idempotency key on lease ID + event timestamp |
| Work order routing | Vendor API timeout | Queue retry with fallback to manual assignment |
| Accounting sync | Balance mismatch | Reconciliation queue with human review flag |
| Tenant portal | Cache miss storm | Stale-while-revalidate pattern, circuit breaker on API layer |
Output
- A contract-bound, staged architecture with service, cache, queue, data, and reconciliation ownership explicitly separated
- Minimized dashboard references and encrypted/controlled boundaries for tenant contact, payment, and balance data
- A deployment decision supported by staging failure, duplicate/replay, rate, rollback, and reconciliation evidence
Examples
For a vacancy-dashboard rollout, start with synthetic property and unit IDs,
one bounded safe-read, and a cache that exposes data age. Inject a duplicate
event or reconciliation record, a 429, and a downstream accounting timeout
to prove the queue and idempotency store prevent duplicate effects. Promote
only when results remain complete and authorized and the rollback/reconciliation
owners can demonstrate their paths. If event support, data classification,
durable state, or a write outcome is unverified, keep the corresponding path
disabled and use operator-led reconciliation.
Resources
Next Steps
See appfolio-deploy-integration.