Optimize Juicebox API performance. Use when improving response times, reducing latency, or optimizing Juicebox integration throughput. Trigger with phrases like "juicebox performance", "optimize juicebox", "juicebox speed", "juicebox latency".
Installation
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name: juicebox-performance-tuning description: | Optimize Juicebox API performance. Use when improving response times, reducing latency, or optimizing Juicebox integration throughput. Trigger with phrases like "juicebox performance", "optimize juicebox", "juicebox speed", "juicebox latency". allowed-tools: Read, Write, Edit, Bash(gh:), Bash(curl:) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Juicebox Performance Tuning
Overview
Optimize Juicebox API integration for maximum performance and minimal latency.
Prerequisites
- Working Juicebox integration
- Performance monitoring in place
- Baseline metrics established
Instructions
Step 1: Implement Response Caching
// lib/juicebox-cache.ts
import { Redis } from 'ioredis';
const redis = new Redis(process.env.REDIS_URL);
interface CacheOptions {
ttl: number; // seconds
prefix?: string;
}
export class JuiceboxCache {
constructor(private options: CacheOptions = { ttl: 300 }) {}
private getKey(type: string, params: any): string {
const hash = crypto
.createHash('md5')
.update(JSON.stringify(params))
.digest('hex');
return `${this.options.prefix || 'jb'}:${type}:${hash}`;
}
async get<T>(type: string, params: any): Promise<T | null> {
const key = this.getKey(type, params);
const cached = await redis.get(key);
return cached ? JSON.parse(cached) : null;
}
async set<T>(type: string, params: any, data: T): Promise<void> {
const key = this.getKey(type, params);
await redis.setex(key, this.options.ttl, JSON.stringify(data));
}
async invalidate(type: string, params: any): Promise<void> {
const key = this.getKey(type, params);
await redis.del(key);
}
}
// Usage
const cache = new JuiceboxCache({ ttl: 300 });
async function searchWithCache(query: string, options: SearchOptions) {
const cached = await cache.get('search', { query, ...options });
if (cached) return cached;
const results = await client.search.people({ query, ...options });
await cache.set('search', { query, ...options }, results);
return results;
}
Step 2: Optimize Request Batching
// lib/batch-processor.ts
export class BatchProcessor<T, R> {
private queue: Array<{
item: T;
resolve: (result: R) => void;
reject: (error: Error) => void;
}> = [];
private timeout: NodeJS.Timeout | null = null;
constructor(
private processBatch: (items: T[]) => Promise<R[]>,
private options: { maxSize: number; maxWait: number }
) {}
async add(item: T): Promise<R> {
return new Promise((resolve, reject) => {
this.queue.push({ item, resolve, reject });
if (this.queue.length >= this.options.maxSize) {
this.flush();
} else if (!this.timeout) {
this.timeout = setTimeout(() => this.flush(), this.options.maxWait);
}
});
}
private async flush(): Promise<void> {
if (this.timeout) {
clearTimeout(this.timeout);
this.timeout = null;
}
if (this.queue.length === 0) return;
const batch = this.queue.splice(0, this.options.maxSize);
const items = batch.map(b => b.item);
try {
const results = await this.processBatch(items);
batch.forEach((b, i) => b.resolve(results[i]));
} catch (error) {
batch.forEach(b => b.reject(error as Error));
}
}
}
// Usage for profile enrichment
const enrichmentBatcher = new BatchProcessor<string, Profile>(
async (profileIds) => {
return client.profiles.batchGet(profileIds);
},
{ maxSize: 50, maxWait: 100 }
);
// Automatic batching
const profile = await enrichmentBatcher.add(profileId);
Step 3: Connection Pooling
// lib/connection-pool.ts
import { JuiceboxClient } from '@juicebox/sdk';
class ClientPool {
private clients: JuiceboxClient[] = [];
private currentIndex = 0;
constructor(size: number, apiKey: string) {
for (let i = 0; i < size; i++) {
this.clients.push(new JuiceboxClient({
apiKey,
keepAlive: true,
timeout: 30000
}));
}
}
getClient(): JuiceboxClient {
const client = this.clients[this.currentIndex];
this.currentIndex = (this.currentIndex + 1) % this.clients.length;
return client;
}
}
const pool = new ClientPool(5, process.env.JUICEBOX_API_KEY!);
Step 4: Query Optimization
// lib/query-optimizer.ts
export function optimizeSearchQuery(params: SearchParams): SearchParams {
return {
...params,
// Only request needed fields
fields: params.fields || ['id', 'name', 'title', 'company'],
// Use reasonable page size
limit: Math.min(params.limit || 20, 100),
// Disable expensive features if not needed
includeScores: params.includeScores ?? false,
includeHighlights: params.includeHighlights ?? false
};
}
// Pagination optimization
async function* streamResults(query: string) {
let cursor: string | undefined;
do {
const results = await client.search.people({
query,
limit: 100,
cursor,
fields: ['id', 'name', 'title'] // Minimal fields for listing
});
for (const profile of results.profiles) {
yield profile;
}
cursor = results.nextCursor;
} while (cursor);
}
Step 5: Monitor Performance
// lib/performance-monitor.ts
import { metrics } from './metrics';
export function wrapWithMetrics<T extends (...args: any[]) => Promise<any>>(
name: string,
fn: T
): T {
return (async (...args: Parameters<T>) => {
const start = Date.now();
try {
const result = await fn(...args);
metrics.histogram(`juicebox.${name}.duration`, Date.now() - start);
metrics.increment(`juicebox.${name}.success`);
return result;
} catch (error) {
metrics.increment(`juicebox.${name}.error`);
throw error;
}
}) as T;
}
// Dashboard query
const performanceQuery = `
SELECT
date_trunc('hour', timestamp) as hour,
avg(duration_ms) as avg_latency,
percentile_cont(0.95) within group (order by duration_ms) as p95,
count(*) as requests
FROM juicebox_metrics
WHERE timestamp > now() - interval '24 hours'
GROUP BY 1
ORDER BY 1
`;
Performance Benchmarks
| Operation | Target | Optimization |
|---|---|---|
| Search (cold) | < 500ms | Query optimization |
| Search (cached) | < 50ms | Redis cache |
| Profile fetch | < 200ms | Batch requests |
| Bulk enrichment | < 2s/100 | Connection pool |
Output
- Response caching layer
- Request batching system
- Connection pool
- Performance monitoring
Resources
Next Steps
After performance tuning, see juicebox-cost-tuning for cost optimization.
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