Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/testing-load-balancers/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill testing-load-balancers. Copyright stays with the author (MIT).

Load Balancer Tester

Overview

Validate load balancer behavior including traffic distribution algorithms, health check mechanisms, failover scenarios, session persistence, and SSL termination. Supports testing for NGINX, HAProxy, AWS ALB/NLB, GCP Load Balancers, and Kubernetes Ingress controllers.

Prerequisites

• Load balancer deployed and accessible in a test environment
• Multiple backend instances running with identifiable responses (hostname headers)
• HTTP client tools (curl, wrk, hey, or k6) for sending test traffic
• Access to load balancer configuration and health check settings
• Ability to stop/start backend instances to simulate failures

Instructions

1. Verify basic load balancer connectivity:
   • Send a request through the load balancer and confirm a backend response.
   • Check the response includes identifying headers (X-Backend-Server, Server) to determine which instance served the request.
   • Verify SSL/TLS termination works correctly (valid certificate, proper redirect from HTTP to HTTPS).
2. Test traffic distribution algorithm:
   • Send 100+ sequential requests and record which backend handled each.
   • For round-robin: verify even distribution across all backends (within 5% tolerance).
   • For least-connections: verify the least-loaded backend receives new requests.
   • For weighted: verify traffic ratio matches configured weights.
3. Validate health check behavior:
   • Stop one backend instance.
   • Verify the load balancer detects the failure within the configured health check interval.
   • Confirm subsequent requests are routed only to healthy backends (zero errors).
   • Restart the backend and verify it is returned to the pool after passing health checks.
4. Test failover scenarios:
   • Stop all backends except one and verify the remaining backend handles all traffic.
   • Stop all backends and verify the load balancer returns a 502 or 503 error (not hang).
   • Simulate slow backend responses and verify timeout behavior.
5. Validate session persistence (sticky sessions):
   • Send multiple requests with the same session cookie.
   • Verify all requests route to the same backend instance.
   • Verify a new session (no cookie) can route to any backend.
6. Test connection draining:
   • Start a long-running request, then remove the backend from the pool.
   • Verify the in-flight request completes successfully.
   • Verify new requests route to remaining backends.
7. Document all results with request/response evidence and timing data.

Output

• Traffic distribution report showing request counts per backend instance
• Health check failover timeline with detection and recovery durations
• Session persistence validation results
• SSL/TLS certificate and configuration verification
• Load balancer behavior summary with pass/fail for each test scenario

Error Handling

Examples

Traffic distribution test with curl:

#!/bin/bash
set -euo pipefail
declare -A counts
for i in $(seq 1 100); do
  backend=$(curl -s -H "Host: app.test.com" http://lb.test.com/health \
    | jq -r '.hostname')
  counts[$backend]=$(( ${counts[$backend]:-0} + 1 ))
done
echo "Traffic distribution:"
for backend in "${!counts[@]}"; do
  echo "  $backend: ${counts[$backend]} requests"
done

Failover test sequence:

set -euo pipefail
# 1. Verify both backends serve traffic
curl -s http://lb.test.com/health  # Backend A
curl -s http://lb.test.com/health  # Backend B

# 2. Stop Backend A
docker stop backend-a

# 3. Verify all traffic goes to Backend B (no errors)
for i in $(seq 1 10); do
  curl -sf http://lb.test.com/health || echo "FAIL: request $i"
done

# 4. Restart Backend A and verify it rejoins
docker start backend-a
sleep 10  # Wait for health check interval
curl -s http://lb.test.com/health  # Should see Backend A again

k6 load test against load balancer:

import http from 'k6/http';
import { check } from 'k6';

export const options = { vus: 50, duration: '30s' };

export default function () {
  const res = http.get('http://lb.test.com/api/data');
  check(res, {
    'status is 200': (r) => r.status === 200,  # HTTP 200 OK
    'response time < 500ms': (r) => r.timings.duration < 500,  # HTTP 500 Internal Server Error
  });
}

Resources

• NGINX load balancing: https://docs.nginx.com/nginx/admin-guide/load-balancer/http-load-balancer/
• HAProxy documentation: https://www.haproxy.org/download/2.9/doc/configuration.txt
• AWS ALB documentation: https://docs.aws.amazon.com/elasticloadbalancing/latest/application/
• k6 load testing: https://grafana.com/docs/k6/latest/
• hey HTTP load generator: https://github.com/rakyll/hey