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API Performance Analyzer

API Performance Analyzer

Lakshya Saini

|
3 installs
| (0) | Free
Zero-config observability for Express.js APIs - see execution traces, database queries, and bottlenecks directly in VS Code
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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🚀 API Performance Analyzer

Zero-config observability for Express.js APIs - See exactly where time is spent in every request

VS Code Marketplace License: MIT

✨ Features

  • 🔍 One-Click Setup - No Docker, no cloud, no config files
  • 📊 Real-Time Dashboard - See request rate, latency, and errors live
  • �� Bottleneck Detection - Automatically identifies slow endpoints and queries
  • 🗄️ Database Query Tracking - See every SQL query with timing
  • 💻 System Metrics - CPU, Memory, Event Loop Lag
  • 🎯 Zero Code Changes - Auto-instruments Express, PostgreSQL, MySQL, MongoDB, Redis
  • ⚡ 137 KB Download - Binaries downloaded on-demand (~260MB, one-time)

🎬 Quick Start

1. Install the Extension

Open VS Code

Go to Extensions (Ctrl+Shift+X)

Search "API Performance Analyzer"

Click Install

text

2. Start Observability

Ctrl+Shift+P → "API Analyzer: Start Observability"

text First run downloads Jaeger & Prometheus (~260MB, one-time)

3. Run Your Express App with Tracing

# Install OpenTelemetry packages (one-time)
npm install --save-dev @opentelemetry/api @opentelemetry/auto-instrumentations-node @opentelemetry/sdk-node @opentelemetry/exporter-trace-otlp-http

# Run with tracing
NODE_OPTIONS="--require @opentelemetry/auto-instrumentations-node/register" \
OTEL_EXPORTER_OTLP_ENDPOINT="http://localhost:4318" \
OTEL_SERVICE_NAME="my-api" \
npm start
4. View Analytics
VS Code Dashboard: Ctrl+Shift+P → "API Analyzer: Show Dashboard"

Jaeger UI: http://localhost:16686

Prometheus: http://localhost:9090

📦 What's Included
Tool	Purpose	Port
Jaeger	Distributed tracing	16686
Prometheus	Metrics collection	9090
OTLP Endpoint	Receives trace data	4318
⚡ Requirements
VS Code 1.85.0+

Node.js 18+

Express.js application

🔧 Configuration
json
{
  "apiAnalyzer.autoStart": false,
  "apiAnalyzer.jaegerPort": 16686,
  "apiAnalyzer.maxTraces": 1000,
  "apiAnalyzer.slowThreshold": 1000,
  "apiAnalyzer.enableProfiling": true,
  "apiAnalyzer.logLevel": "info"
}
❓ FAQ
Q: Does this work without Docker?
A: Yes! All tools run as native binaries downloaded by the extension on first run.

Q: Will this slow down my API?
A: Minimal overhead (<5%). OpenTelemetry is production-ready.

Q: Where is data stored?
A: 100% locally in the extension's directory.

Q: Does it work with TypeScript?
A: Yes! Works with both JavaScript and TypeScript Express apps.

Q: How large is the download?
A: Extension is only 137 KB. Binaries (~260MB) download once on first run.

🎯 Supported Libraries (Auto-Instrumented)
Category	Libraries
Web Framework	Express
Database	PostgreSQL, MySQL, MongoDB, Redis
ORM	Sequelize, Prisma, TypeORM
HTTP Client	Axios, Fetch, Request
Message Queue	RabbitMQ, Kafka
📄 License
MIT © Lakshya Saini

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