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supabase-load-scale

supabase-load-scale

Implement Supabase load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Supabase integrations. Trigger with phrases like "supabase load test", "supabase scale", "supabase performance test", "supabase capacity", "supabase k6", "supabase benchmark".

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: supabase-load-scale description: | Implement Supabase load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Supabase integrations. Trigger with phrases like "supabase load test", "supabase scale", "supabase performance test", "supabase capacity", "supabase k6", "supabase benchmark". allowed-tools: Read, Write, Edit, Bash(k6:), Bash(kubectl:) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Supabase Load Scale

Prerequisites

  • k6 load testing tool installed
  • Kubernetes cluster with HPA configured
  • Prometheus for metrics collection
  • Test environment API keys

Instructions

Step 1: Create Load Test Script

Write k6 test script with appropriate thresholds.

Step 2: Configure Auto-Scaling

Set up HPA with CPU and custom metrics.

Step 3: Run Load Test

Execute test and collect metrics.

Step 4: Analyze and Document

Record results in benchmark template.

Output

  • Load test script created
  • HPA configured
  • Benchmark results documented
  • Capacity recommendations defined

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.

Resources

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