Skip to main content Set up Apollo.io monitoring and observability.
Use when implementing logging, metrics, tracing, and alerting
for Apollo integrations.
Trigger with phrases like "apollo monitoring", "apollo metrics",
"apollo observability", "apollo logging", "apollo alerts".
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill apollo-observability ai automation claude-code devops mcp ai-agents
Apollo Observability
Overview
Comprehensive observability for Apollo.io integrations: Prometheus metrics (request count, latency, rate limits, credits), structured logging with PII redaction, OpenTelemetry tracing, and alerting rules. Tracks the metrics that matter: credit burn rate, enrichment success rate, and API health.
Prerequisites
Valid Apollo API key
Node.js 18+
Instructions
Step 1: Prometheus Metrics
// src/observability/metrics.ts
import { Counter, Histogram, Gauge, Registry } from 'prom-client';
export const registry = new Registry();
export const requestsTotal = new Counter({
name: 'apollo_requests_total',
help: 'Total Apollo API requests by endpoint and status',
labelNames: ['endpoint', 'method', 'status'] as const,
registers: [registry],
});
export const requestDuration = new Histogram({
name: 'apollo_request_duration_seconds',
help: 'Apollo API request duration',
labelNames: ['endpoint'] as const,
buckets: [0.1, 0.25, 0.5, 1, 2.5, 5, 10],
registers: [registry],
});
export const rateLimitRemaining = new Gauge({
name: 'apollo_rate_limit_remaining',
help: 'Remaining requests in current rate limit window',
labelNames: ['endpoint'] as const,
registers: [registry],
});
export const creditsUsed = new Counter({
name: 'apollo_credits_used_total',
help: 'Total Apollo enrichment credits consumed',
labelNames: ['type'] as const, // 'person', 'organization', 'bulk'
registers: [registry],
});
export const enrichmentSuccessRate = new Gauge({
name: 'apollo_enrichment_success_rate',
help: 'Percentage of enrichment calls that found a match',
registers: [registry],
});
Step 2: Axios Interceptors for Auto-Collection // src/observability/instrument.ts
import { AxiosInstance } from 'axios';
import { requestsTotal, requestDuration, rateLimitRemaining, creditsUsed } from './metrics';
const CREDIT_ENDPOINTS = ['/people/match', '/people/bulk_match', '/organizations/enrich'];
export function instrumentClient(client: AxiosInstance) {
client.interceptors.request.use((config) => {
(config as any)._startTime = Date.now();
return config;
});
client.interceptors.response.use(
(response) => {
const endpoint = response.config.url ?? 'unknown';
const duration = (Date.now() - (response.config as any)._startTime) / 1000;
requestsTotal.inc({ endpoint, method: response.config.method?.toUpperCase() ?? 'GET', status: String(response.status) });
requestDuration.observe({ endpoint }, duration);
// Rate limit tracking
const remaining = response.headers['x-rate-limit-remaining'];
if (remaining) rateLimitRemaining.set({ endpoint }, parseInt(remaining, 10));
// Credit tracking
if (CREDIT_ENDPOINTS.some((ep) => endpoint.includes(ep))) {
const type = endpoint.includes('bulk') ? 'bulk' : endpoint.includes('organization') ? 'organization' : 'person';
const count = response.data?.matches?.length ?? 1;
creditsUsed.inc({ type }, count);
}
return response;
},
(err) => {
requestsTotal.inc({
endpoint: err.config?.url ?? 'unknown',
method: err.config?.method?.toUpperCase() ?? 'GET',
status: String(err.response?.status ?? 0),
});
return Promise.reject(err);
},
);
}
Step 3: Structured Logging with PII Redaction // src/observability/logger.ts
import pino from 'pino';
export const logger = pino({
level: process.env.LOG_LEVEL ?? 'info',
redact: {
paths: ['*.email', '*.phone_numbers', '*.linkedin_url', 'headers.x-api-key'],
censor: '[REDACTED]',
},
formatters: { level: (label) => ({ level: label }) },
transport: process.env.NODE_ENV !== 'production' ? { target: 'pino-pretty' } : undefined,
});
export const apolloLog = logger.child({ service: 'apollo' });
// Usage:
// apolloLog.info({ endpoint: '/mixed_people/api_search', results: 25 }, 'Search completed');
// apolloLog.warn({ endpoint: '/people/match', status: 429 }, 'Rate limited');
// apolloLog.error({ err, endpoint: '/contacts' }, 'Request failed');
Step 4: OpenTelemetry Tracing // src/observability/tracing.ts
import { trace, SpanStatusCode } from '@opentelemetry/api';
import { AxiosInstance } from 'axios';
const tracer = trace.getTracer('apollo-integration');
export function addTracing(client: AxiosInstance) {
client.interceptors.request.use((config) => {
const span = tracer.startSpan(`apollo.${config.method?.toUpperCase()} ${config.url}`);
span.setAttribute('apollo.endpoint', config.url ?? '');
(config as any)._span = span;
return config;
});
client.interceptors.response.use(
(response) => {
const span = (response.config as any)._span;
if (span) {
span.setAttribute('http.status_code', response.status);
span.setAttribute('apollo.rate_limit_remaining', response.headers['x-rate-limit-remaining'] ?? 'unknown');
span.setStatus({ code: SpanStatusCode.OK });
span.end();
}
return response;
},
(err) => {
const span = (err.config as any)?._span;
if (span) {
span.setAttribute('http.status_code', err.response?.status ?? 0);
span.setStatus({ code: SpanStatusCode.ERROR, message: err.message });
span.end();
}
return Promise.reject(err);
},
);
}
Step 5: Alerting Rules # prometheus/apollo-alerts.yml
groups:
- name: apollo-integration
rules:
- alert: ApolloHighErrorRate
expr: rate(apollo_requests_total{status=~"4..|5.."}[5m]) / rate(apollo_requests_total[5m]) > 0.1
for: 5m
labels: { severity: critical }
annotations: { summary: "Apollo API error rate > 10% for 5 minutes" }
- alert: ApolloRateLimitLow
expr: apollo_rate_limit_remaining < 20
for: 1m
labels: { severity: warning }
annotations: { summary: "Apollo rate limit below 20 remaining requests" }
- alert: ApolloHighLatency
expr: histogram_quantile(0.95, rate(apollo_request_duration_seconds_bucket[5m])) > 5
for: 10m
labels: { severity: warning }
annotations: { summary: "Apollo p95 latency > 5s for 10 minutes" }
- alert: ApolloCreditBurnRate
expr: rate(apollo_credits_used_total[1h]) * 24 > 500
for: 30m
labels: { severity: warning }
annotations: { summary: "Apollo credit burn rate projects > 500/day" }
Step 6: Metrics Endpoint import express from 'express';
import { registry } from './metrics';
const metricsApp = express();
metricsApp.get('/metrics', async (_, res) => {
res.set('Content-Type', registry.contentType);
res.end(await registry.metrics());
});
metricsApp.get('/health', (_, res) => res.json({ status: 'ok' }));
metricsApp.listen(9090, () => console.log('Metrics on :9090'));
Output
Prometheus metrics: requests, duration, rate limits, credits, enrichment success
Axios interceptors for automatic collection on every API call
Pino structured logger with PII redaction
OpenTelemetry tracing spans for distributed tracing
Alerting rules for errors, rate limits, latency, and credit burn rate
/metrics and /health HTTP endpoints
Error Handling Issue Resolution Missing metrics Verify instrumentClient() called before first API call Alert noise Tune for duration and thresholds Log volume Use LOG_LEVEL=warn in production Credit burn alert Review enrichment scoring thresholds in apollo-cost-tuning
Resources
Next Steps Proceed to apollo-incident-runbook for incident response.
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Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
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CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).