API Monitoring
API Monitoring is the continuous process of tracking the availability, performance, and correctness of your API endpoints in real-time or at scheduled intervals.
Goals of API Monitoring:
- Ensure uptime — the API is available for consumers.
- Track performance metrics — response time, latency, throughput.
- Detect errors and failures — server errors, authentication failures, invalid responses.
- Enable alerts and notifications for operational issues.
- Provide insights for scaling — detect load patterns, bottlenecks.
Key Metrics in API Monitoring
| Metric | Description |
|---|---|
| Uptime / Availability | Percentage of time API is operational (e.g., 99.9%) |
| Response Time / Latency | Time taken to process a request |
| Error Rate | Percentage of failed requests (HTTP 4xx, 5xx) |
| Throughput / Requests per Second | How many requests API handles per time unit |
| SLA Compliance | Whether API meets Service Level Agreements |
| Resource Usage | CPU, memory, database connections |
What Is API Logging
API Logging involves capturing detailed information about API requests, responses, and system events to facilitate debugging, auditing, and monitoring.
Logs Typically Include:
- Timestamp of request
- HTTP method & URL
- Headers (Authorization, Content-Type)
- Request body / parameters
- Response status and body
- Execution time
- Errors or exceptions
- User or service identity (optional)
Logging Levels
| Level | Purpose |
|---|---|
| INFO | General API usage (request received, successful response) |
| DEBUG | Detailed internal info for troubleshooting (DB queries, variables) |
| WARN | Non-critical issues (deprecated endpoints, slow responses) |
| ERROR | Failures or exceptions (server errors, crashes) |
| FATAL | Critical failures causing downtime |
Logger Implementation
Logger Middleware
// logger.js
const fs = require('fs');
const path = require('path');
const logFile = path.join(__dirname, 'api.log');
function logger(req, res, next) {
const start = Date.now();
const { method, url, body } = req;
res.on('finish', () => {
const duration = Date.now() - start;
const logEntry = {
timestamp: new Date().toISOString(),
method,
url,
status: res.statusCode,
duration: `${duration}ms`,
requestBody: body,
};
fs.appendFileSync(logFile, JSON.stringify(logEntry) + '\n');
});
next();
}
module.exports = logger;
Using Logger in App
const express = require('express');
const logger = require('./logger');
const app = express();
app.use(express.json());
app.use(logger);
app.post('/api/users', (req, res) => {
if (!req.body.name || !req.body.email) {
return res.status(400).json({ error: "Name and email required" });
}
res.status(201).json({ id: 1, ...req.body });
});
app.listen(3000, () => console.log("API running on port 3000"));
Integrating Monitoring Tools
Logging data can be sent to monitoring tools like:
- ELK Stack (Elasticsearch, Logstash, Kibana)
- Prometheus + Grafana (metrics collection)
- Datadog, New Relic, Splunk (full observability)
Example Metrics Extraction
- Count all
500status codes → triggers alert - Measure average response time → visualize slow endpoints
- Track
POST /api/userserrors → SLA compliance