tessl install github:jeremylongshore/claude-code-plugins-plus-skills --skill apollo-performance-tuningOptimize Apollo.io API performance. Use when improving API response times, reducing latency, or optimizing bulk operations. Trigger with phrases like "apollo performance", "optimize apollo", "apollo slow", "apollo latency", "speed up apollo".
Review Score
78%
Validation Score
12/16
Implementation Score
65%
Activation Score
90%
Optimize Apollo.io API performance through caching, connection pooling, request optimization, and efficient data handling.
| Operation | Target Latency | Acceptable | Poor |
|---|---|---|---|
| People Search | < 500ms | 500-1500ms | > 1500ms |
| Person Enrichment | < 1000ms | 1-3s | > 3s |
| Org Enrichment | < 800ms | 800ms-2s | > 2s |
| Bulk Operations | < 5s/100 | 5-15s/100 | > 15s/100 |
// src/lib/apollo/http-agent.ts
import https from 'https';
import { Agent } from 'https';
// Reuse TCP connections
const httpsAgent = new Agent({
keepAlive: true,
keepAliveMsecs: 30000,
maxSockets: 10,
maxFreeSockets: 5,
timeout: 30000,
});
export const apolloClient = axios.create({
baseURL: 'https://api.apollo.io/v1',
httpsAgent,
timeout: 30000,
headers: {
'Connection': 'keep-alive',
},
});// src/lib/apollo/cache.ts
import { LRUCache } from 'lru-cache';
interface CacheEntry<T> {
data: T;
timestamp: number;
}
class ApolloCache {
private cache: LRUCache<string, CacheEntry<any>>;
constructor() {
this.cache = new LRUCache({
max: 1000, // Max entries
ttl: 5 * 60 * 1000, // 5 minutes default
updateAgeOnGet: true,
});
}
generateKey(operation: string, params: any): string {
return `${operation}:${JSON.stringify(params)}`;
}
get<T>(key: string): T | null {
const entry = this.cache.get(key) as CacheEntry<T> | undefined;
return entry?.data || null;
}
set<T>(key: string, data: T, ttlMs?: number): void {
this.cache.set(key, { data, timestamp: Date.now() }, { ttl: ttlMs });
}
invalidate(pattern: string): void {
for (const key of this.cache.keys()) {
if (key.includes(pattern)) {
this.cache.delete(key);
}
}
}
getStats() {
return {
size: this.cache.size,
hitRate: this.cache.calculatedSize,
};
}
}
export const apolloCache = new ApolloCache();
// Cached wrapper
export async function cachedRequest<T>(
key: string,
fetchFn: () => Promise<T>,
ttlMs: number = 300000 // 5 min default
): Promise<T> {
const cached = apolloCache.get<T>(key);
if (cached) {
return cached;
}
const result = await fetchFn();
apolloCache.set(key, result, ttlMs);
return result;
}// src/lib/apollo/cached-client.ts
const CACHE_CONFIG = {
// Long cache - data rarely changes
'organizations/enrich': 24 * 60 * 60 * 1000, // 24 hours
'organizations/search': 60 * 60 * 1000, // 1 hour
// Medium cache - occasional updates
'people/search': 15 * 60 * 1000, // 15 minutes
'people/match': 30 * 60 * 1000, // 30 minutes
// Short cache - frequently updated
'emailer_campaigns': 5 * 60 * 1000, // 5 minutes
// No cache - real-time data
'auth/health': 0,
};
export async function apolloRequest<T>(
endpoint: string,
params: any,
method: 'GET' | 'POST' = 'POST'
): Promise<T> {
const ttl = CACHE_CONFIG[endpoint] || 0;
if (ttl === 0) {
return apollo.request({ method, url: `/${endpoint}`, data: params });
}
const cacheKey = apolloCache.generateKey(endpoint, params);
return cachedRequest(
cacheKey,
() => apollo.request({ method, url: `/${endpoint}`, data: params }),
ttl
);
}// Request only needed fields
const optimizedSearch = await apollo.searchPeople({
q_organization_domains: ['stripe.com'],
per_page: 25,
// Only request fields you need
person_seniorities: ['vp', 'director'], // Filter upfront
});
// Transform response immediately to reduce memory
const contacts = response.people.map(p => ({
id: p.id,
name: p.name,
email: p.email,
title: p.title,
// Don't store unused fields
}));// src/lib/apollo/parallel.ts
import pLimit from 'p-limit';
const limit = pLimit(5); // Max 5 concurrent requests
export async function parallelEnrich(domains: string[]): Promise<Organization[]> {
const results = await Promise.all(
domains.map(domain =>
limit(() => apolloRequest('organizations/enrich', { domain }))
)
);
return results.filter(Boolean);
}// src/lib/apollo/batch.ts
export async function batchSearch(
criteria: SearchCriteria[],
batchSize: number = 10
): Promise<Person[]> {
const results: Person[] = [];
for (let i = 0; i < criteria.length; i += batchSize) {
const batch = criteria.slice(i, i + batchSize);
// Process batch in parallel
const batchResults = await Promise.all(
batch.map(c => apollo.searchPeople(c))
);
results.push(...batchResults.flatMap(r => r.people));
// Rate limit between batches
if (i + batchSize < criteria.length) {
await new Promise(r => setTimeout(r, 100));
}
}
return results;
}// BAD: Broad search, then filter client-side
const allPeople = await apollo.searchPeople({
q_organization_domains: ['stripe.com'],
per_page: 100,
});
const engineers = allPeople.people.filter(p =>
p.title?.toLowerCase().includes('engineer')
);
// GOOD: Filter at API level
const engineers = await apollo.searchPeople({
q_organization_domains: ['stripe.com'],
person_titles: ['engineer', 'developer', 'software'],
per_page: 100,
});// src/lib/apollo/pagination.ts
export async function efficientPagination(
searchParams: any,
maxResults: number = 1000
): Promise<Person[]> {
const results: Person[] = [];
let page = 1;
const perPage = 100; // Max allowed
while (results.length < maxResults) {
const response = await apollo.searchPeople({
...searchParams,
page,
per_page: perPage,
});
results.push(...response.people);
// Stop if no more results
if (response.people.length < perPage) {
break;
}
// Stop if we've reached total
if (page * perPage >= response.pagination.total_entries) {
break;
}
page++;
// Small delay to avoid rate limits
await new Promise(r => setTimeout(r, 50));
}
return results.slice(0, maxResults);
}// src/lib/apollo/metrics.ts
import { Histogram, Counter } from 'prom-client';
const requestDuration = new Histogram({
name: 'apollo_request_duration_seconds',
help: 'Duration of Apollo API requests',
labelNames: ['endpoint', 'status'],
buckets: [0.1, 0.25, 0.5, 1, 2.5, 5, 10],
});
const requestCounter = new Counter({
name: 'apollo_requests_total',
help: 'Total Apollo API requests',
labelNames: ['endpoint', 'status'],
});
const cacheHitCounter = new Counter({
name: 'apollo_cache_hits_total',
help: 'Apollo cache hits',
labelNames: ['endpoint'],
});
export function instrumentedRequest<T>(
endpoint: string,
requestFn: () => Promise<T>
): Promise<T> {
const end = requestDuration.startTimer({ endpoint });
return requestFn()
.then(result => {
end({ status: 'success' });
requestCounter.inc({ endpoint, status: 'success' });
return result;
})
.catch(error => {
end({ status: 'error' });
requestCounter.inc({ endpoint, status: 'error' });
throw error;
});
}// Example Grafana queries
const grafanaQueries = {
avgLatency: 'histogram_quantile(0.95, rate(apollo_request_duration_seconds_bucket[5m]))',
requestRate: 'rate(apollo_requests_total[5m])',
errorRate: 'rate(apollo_requests_total{status="error"}[5m]) / rate(apollo_requests_total[5m])',
cacheHitRate: 'rate(apollo_cache_hits_total[5m]) / rate(apollo_requests_total[5m])',
};| Issue | Resolution |
|---|---|
| High latency | Check network, enable caching |
| Cache misses | Tune TTL, check key generation |
| Rate limits | Reduce concurrency, add delays |
| Memory issues | Limit cache size, stream results |
Proceed to apollo-cost-tuning for cost optimization.