--- name: appfolio-performance-tuning description: 'Optimize AppFolio API performance with caching and batch operations. Trigger: "appfolio performance". ' allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep version: 1.0.0 license: MIT author: Jeremy Longshore tags: - saas - property-management - appfolio - real-estate compatibility: Designed for Claude Code --- # AppFolio Performance Tuning ## Overview AppFolio's property management API handles bulk tenant queries, property portfolio pagination, and work order batch processing. Large portfolios with thousands of units generate heavy read traffic on listing endpoints. Optimizing cache lifetimes for slow-changing property data, batching work order updates, and pooling HTTP connections reduces API call volume by 60-80% and cuts dashboard load times from seconds to sub-second. ## Caching Strategy ```typescript const cache = new Map(); const TTL = { properties: 300_000, tenants: 120_000, units: 300_000, workOrders: 60_000 }; async function cached(key: string, ttlKey: keyof typeof TTL, fn: () => Promise) { const entry = cache.get(key); if (entry && entry.expiry > Date.now()) return entry.data; const data = await fn(); cache.set(key, { data, expiry: Date.now() + TTL[ttlKey] }); return data; } ``` ## Batch Operations ```typescript async function batchWorkOrders(client: any, ids: string[], batchSize = 25) { const results = []; for (let i = 0; i < ids.length; i += batchSize) { const batch = ids.slice(i, i + batchSize); const res = await Promise.all(batch.map(id => client.http.get(`/work_orders/${id}`))); results.push(...res.map(r => r.data)); if (i + batchSize < ids.length) await new Promise(r => setTimeout(r, 200)); } return results; } ``` ## Connection Pooling ```typescript import { Agent } from 'https'; const agent = new Agent({ keepAlive: true, maxSockets: 10, maxFreeSockets: 5, timeout: 30_000 }); // Pass to axios/fetch: { httpsAgent: agent } ``` ## Rate Limit Management ```typescript async function withRateLimit(fn: () => Promise): Promise { const res = await fn(); const remaining = parseInt(res.headers['x-ratelimit-remaining'] || '100'); if (remaining < 5) { const retryAfter = parseInt(res.headers['retry-after'] || '2') * 1000; await new Promise(r => setTimeout(r, retryAfter)); } return res; } ``` ## Monitoring ```typescript const metrics = { apiCalls: 0, cacheHits: 0, errors: 0, totalLatency: 0 }; function track(startMs: number, hit: boolean, error?: boolean) { metrics.apiCalls++; metrics.totalLatency += Date.now() - startMs; if (hit) metrics.cacheHits++; if (error) metrics.errors++; } // Log: avg latency, cache hit rate, error rate per minute ``` ## Performance Checklist - [ ] Cache property and unit listings with 5-min TTL - [ ] Use incremental sync via last_modified timestamps - [ ] Batch work order updates in groups of 25 - [ ] Enable HTTP keep-alive with connection pooling - [ ] Parse rate limit headers and back off proactively - [ ] Parallelize independent dashboard queries with Promise.all - [ ] Monitor cache hit ratio (target > 70%) - [ ] Set request timeouts to 30s to avoid hung connections ## Error Handling | Issue | Cause | Fix | |-------|-------|-----| | 429 Too Many Requests | Exceeded API rate limit | Parse Retry-After header, exponential backoff | | Stale tenant data | Cache TTL too long | Reduce tenant cache to 2 min, add cache-bust on writes | | Timeout on portfolio list | Large dataset with no pagination | Add page_size=100 and cursor-based iteration | | Connection reset | Socket exhaustion | Enable keep-alive agent with maxSockets cap | ## Resources - [AppFolio Stack APIs](https://www.appfolio.com/stack/partners/api) - [AppFolio Engineering Blog](https://engineering.appfolio.com) ## Next Steps See `appfolio-reference-architecture`. --- Source attribution: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/main/plugins/saas-packs/appfolio-pack/skills/appfolio-performance-tuning/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/main/plugins/saas-packs/appfolio-pack/skills/appfolio-performance-tuning/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering, Marketing, Real Estate Roles: Backend Developer, Data Engineer, Growth Marketer, Property Manager, Real Estate Analyst Specialties: API, Design, Mobile Tools: Appfolio, Axios Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 23a353e77e540f7d853a21c9dc40c7a47d9ba0ace451c81aab9e3ad2e1a2ed34