How to Monitor API Gateway Performance on Linux

How to Monitor API Gateway Performance on Linux

Need to monitor API gateway performance on your Linux server? Want to track request rates, monitor latency, and detect performance issues? This guide shows you how to monitor API gateway performance using gateway metrics and set up automated monitoring with Zuzia.app.

For comprehensive API gateway monitoring strategies, see API Gateway Performance Monitoring Guide. For troubleshooting API gateway issues, see API Gateway Performance Issues.

Why Monitoring API Gateway Performance Matters

API gateway performance monitoring helps you detect performance degradation early, track request rates, monitor latency, identify bottlenecks, and ensure reliable API access. Regular performance monitoring prevents API gateway issues from causing service disruptions.

Method 1: Monitor API Gateway Request Rates

Track API request volume:

Check Request Rates

# Check API gateway metrics (example for Kong)
curl -s http://localhost:8001/metrics | grep -i "request\|http"

# Check request count
curl -s http://localhost:8001/metrics | grep "kong_http_requests_total"

# Monitor request rates
watch -n 5 'curl -s http://localhost:8001/metrics | grep "kong_http_requests_total"'

# Check requests per endpoint
curl -s http://localhost:8001/routes | jq '.data[] | {name: .name, requests: .requests}'

Request rate monitoring shows API traffic volume.

Method 2: Monitor API Gateway Latency

Track response times:

Check Response Times

# Check API gateway latency metrics
curl -s http://localhost:8001/metrics | grep -i "latency\|duration"

# Monitor response times
curl -s http://localhost:8001/metrics | grep "kong_http_request_duration_seconds"

# Check average latency
curl -s http://localhost:8001/metrics | grep "kong_http_request_duration_seconds" | awk '{print $2}'

# Test API gateway response time
time curl -s http://api-gateway:8000/api/health

Latency monitoring shows API response performance.

Method 3: Monitor API Gateway Errors

Track error rates:

Check Error Rates

# Check API gateway error metrics
curl -s http://localhost:8001/metrics | grep -i "error\|status.*5"

# Monitor error rates
curl -s http://localhost:8001/metrics | grep "kong_http_requests_total.*status.*5"

# Check error percentage
TOTAL_REQUESTS=$(curl -s http://localhost:8001/metrics | grep "kong_http_requests_total" | awk '{sum+=$2} END {print sum}')
ERROR_REQUESTS=$(curl -s http://localhost:8001/metrics | grep "kong_http_requests_total.*status.*5" | awk '{sum+=$2} END {print sum}')
if [ "$TOTAL_REQUESTS" -gt 0 ]; then
  ERROR_RATE=$(echo "scale=2; $ERROR_REQUESTS * 100 / $TOTAL_REQUESTS" | bc)
  echo "Error rate: ${ERROR_RATE}%"
fi

Error rate monitoring detects API gateway problems.

Method 4: Monitor API Gateway Health

Check gateway service status:

Check Gateway Status

# Check API gateway health endpoint
curl -f http://api-gateway:8000/health

# Check gateway service status
systemctl status kong || systemctl status nginx || echo "Gateway service check"

# Check gateway process
ps aux | grep -E "kong|nginx|traefik" | grep -v grep

# Monitor gateway logs
tail -f /var/log/kong/error.log 2>/dev/null || tail -f /var/log/nginx/error.log

Gateway health checking shows service status.

Method 5: Automated API Gateway Performance Monitoring with Zuzia.app

Manually checking API gateway performance works for troubleshooting, but for production systems, you need automated API gateway performance monitoring that alerts you when performance degradation or errors are detected.

Setting Up Automated API Gateway Performance Monitoring

1. Add Scheduled Task in Zuzia.app Dashboard

   • Navigate to your server in Zuzia.app
   • Click "Add Scheduled Task"
   • Choose "Command Execution" as the task type

2. Configure API Gateway Performance Check Command

   • Enter command: Check API gateway metrics
   • Set execution frequency: Every 1-5 minutes
   • Configure alert conditions: Alert when latency > 1s or error rate > 5%
   • Set up comparison with previous runs to detect changes

3. Set Up Notifications

   • Choose notification channels (email, webhook, Slack, etc.)
   • Configure alert thresholds (e.g., alert if latency > 1s, error rate > 5%)
   • Set up escalation rules for critical API gateway issues
   • Configure different alert levels for different endpoints

Monitor Specific API Gateway Performance Metrics

For critical APIs, create dedicated monitoring tasks:

# Check API gateway health
curl -f http://api-gateway:8000/health

# Check request rates
curl -s http://localhost:8001/metrics | grep "kong_http_requests_total"

# Check latency
curl -s http://localhost:8001/metrics | grep "kong_http_request_duration_seconds"

# Check error rates
curl -s http://localhost:8001/metrics | grep "kong_http_requests_total.*status.*5"

Zuzia.app stores all command outputs in its database, allowing you to track API gateway performance over time, identify performance degradation early, and detect errors before users are impacted.

Best Practices for Monitoring API Gateway Performance

1. Monitor API Gateway Performance Continuously

Monitor API gateway performance every 1-5 minutes. Performance degradation can occur quickly, so frequent monitoring helps detect issues immediately. Use Zuzia.app automated monitoring to monitor API gateway performance continuously without manual intervention.

2. Monitor Both Request Rates and Latency

Monitor at multiple levels: request rates, latency, error rates, and gateway health. Request rate monitoring shows traffic volume, latency monitoring shows response performance, error monitoring detects problems, and health monitoring shows service status.

3. Track Performance Trends

Monitor API gateway performance trends over time to identify degradation patterns. Use historical data to predict performance issues and plan capacity upgrades proactively.

4. Set Appropriate Alert Thresholds

Configure alerts based on your API requirements. Warning at latency > 500ms, critical at latency > 1s. Error rate: warning at > 1%, critical at > 5%. Adjust thresholds based on API characteristics.

5. Plan API Gateway Capacity

Use API gateway performance data for planning capacity upgrades. Analyze performance trends, predict capacity needs, and plan upgrades before performance degrades.

Troubleshooting Common API Gateway Performance Issues

High Latency

If latency is high:

# Check API gateway latency metrics
curl -s http://localhost:8001/metrics | grep "kong_http_request_duration_seconds"

# Check backend service performance
curl -w "%{time_total}\n" -o /dev/null -s http://backend-service:8080/health

# Review gateway logs
tail -50 /var/log/kong/error.log

# Check gateway resource usage
top -p $(pgrep -f kong)

High latency requires performance optimization.

High Error Rates

If error rates are high:

# Check error metrics
curl -s http://localhost:8001/metrics | grep "kong_http_requests_total.*status.*5"

# Review error logs
tail -50 /var/log/kong/error.log | grep -i error

# Check backend service health
curl -f http://backend-service:8080/health

# Verify gateway configuration
cat /etc/kong/kong.conf | grep -v "^#" | grep -v "^$"

High error rates require investigation and resolution.

FAQ: Common Questions About Monitoring API Gateway Performance

How often should I monitor API gateway performance on my Linux server?

We recommend monitoring API gateway performance every 1-5 minutes. Performance degradation can occur quickly, so frequent monitoring helps detect issues immediately. For critical APIs, monitor more frequently. Use Zuzia.app automated monitoring to monitor API gateway performance continuously without manual intervention.

What should I do when API gateway performance is degraded?

When API gateway performance is degraded, first identify which metric is causing the issue (latency, error rate, request rate). Check API gateway health and backend service performance. Review gateway logs for errors. Optimize gateway configuration or scale gateway if needed.

Can I monitor API gateway performance without affecting API traffic?

Yes, monitoring API gateway performance is read-only and doesn't affect API traffic. Commands like curl to metrics endpoints only query performance data. However, avoid checking too frequently to minimize impact.

How do I identify which API endpoint has performance problems?

Use API gateway metrics to identify problematic endpoints. Check latency and error rates per endpoint. Review endpoint-specific logs. Zuzia.app tracks API gateway performance and can help identify problematic endpoints.

Why is monitoring API gateway performance important?

Monitoring API gateway performance helps detect performance degradation early, track request rates, monitor latency, identify bottlenecks, and ensure reliable API access. Performance degradation can cause service disruptions, so tracking API gateway performance is essential for maintaining API reliability.

How do I compare API gateway performance across multiple gateways?

Use Zuzia.app to monitor API gateway performance across multiple gateways simultaneously. Each gateway executes performance checks independently, and all results are stored in Zuzia.app's database for centralized comparison and analysis. You can view API gateway performance for all gateways in a single dashboard.

Does Zuzia.app track API gateway performance changes over time?

Yes, Zuzia.app stores all command outputs in its database, allowing you to track API gateway performance over time and identify when performance degradation or errors occur. You can view historical data to see performance trends, identify degradation patterns, and verify that performance optimizations were successful.

Related guides, recipes, and problems

• Related guides

  • API Gateway Performance Monitoring Guide
  • Microservices Architecture Health Monitoring Guide
  • Service Mesh Monitoring Guide

• Related recipes

  • Monitor Microservices Health Status
  • Check Service Mesh Connectivity
  • Monitor Cloud Resource Usage Costs

• Related problems

  • API Gateway Performance Issues
  • Microservices Communication Failures