CDN Service

About

CDN Service is a high-performance, cloud-native content delivery solution built with Go. It provides a robust and scalable platform for managing and delivering digital assets across multiple cloud providers. The service combines modern architectural patterns with enterprise-grade features to offer:

• Multi-Cloud Storage: Seamless integration with MinIO and AWS S3, including Glacier support for cost-effective archival
• Advanced Image Processing: Real-time image resizing and optimization with support for various formats
• Enterprise Features: Circuit breaker pattern, rate limiting, and batch operations
• High Performance: Redis caching, worker pools, and optimized file handling
• Real-Time Monitoring: WebSocket-based live monitoring, Prometheus metrics, and comprehensive health checks
• Developer-Friendly: Scalar documentation, standardized API responses, and easy deployment options

Perfect for organizations needing a reliable, scalable, and feature-rich content delivery solution with support for multiple cloud providers and advanced monitoring capabilities.

Features

Storage

• Multi-cloud storage support (MinIO, AWS S3)
• Glacier archive support
• Bucket management
• Automatic file type detection
• Secure file handling

Image Processing

• Real-time image resizing
• Batch processing capabilities
• Worker pool for concurrent operations
• Support for multiple image formats
• URL-based image processing

Performance

• Redis caching layer with optimized storage
• Batch processing with configurable sizes
• Worker pool for parallel processing
• Rate limiting and request throttling
• Performance metrics and monitoring
• Dynamic ImageMagick version management
• Circuit breaker pattern for fault tolerance
  • Automatic failure detection
  • Graceful service degradation
  • Self-healing capabilities
  • Configurable thresholds and timeouts
  • Real-time state monitoring

Security

• Token-based authentication
• Bucket-scoped tokens for per-bucket write isolation
• CORS configuration
• Rate limiting per endpoint with bypass protection
• Redis-based rate limit storage
• Request size limitations
• Trusted proxy support

Monitoring & Observability

• Prometheus metrics
• Jaeger tracing integration
• Structured logging with zerolog
• Health check endpoints
• Detailed error tracking
• Real-time system monitoring via WebSocket
• Live performance metrics
  • Active uploads count
  • Upload speed
  • Cache hit rate
  • CPU usage
  • Memory usage
  • Disk usage by mount point
  • Recent error logs

Additional Features

• Environment variable configuration
• Hot reload for configuration changes
• Scalar documentation
• Docker support
• Graceful shutdown

API Standardization

• Consistent response formats across all endpoints
• Detailed error messages and codes
• Standardized success/error patterns
• Comprehensive request validation

Quick Start

Prerequisites

• Go 1.22+
• Docker and Docker Compose
• MinIO Server (or AWS S3 access)
• Redis Server

Installation

1. Clone the repository:

git clone https://github.com/mstgnz/cdn.git
cd cdn

2. Copy the example environment file:

cp .env.example .env

3. Start the services using Docker Compose:

docker-compose up -d

Configuration

Edit the .env file with your settings:

APP_PORT=9090
APP_NAME=cdn
TOKEN=your-secure-token

# Optional: path to the bucket-scoped token file (see Authentication below)
TOKENS_FILE=config/tokens.json

# MinIO Configuration
MINIO_ENDPOINT=localhost:9000
MINIO_ROOT_USER=minioadmin
MINIO_ROOT_PASSWORD=minioadmin
MINIO_USE_SSL=false

# AWS Configuration (optional)
AWS_ACCESS_KEY_ID=your-access-key
AWS_SECRET_ACCESS_KEY=your-secret-key
AWS_REGION=your-region

# Redis Configuration
REDIS_URL=redis://localhost:6379

# Feature Flags
DISABLE_DELETE=false
DISABLE_UPLOAD=false
DISABLE_GET=false

# ImageMagick resource limits + on-the-fly resize cap
IMAGICK_MEMORY_LIMIT_MB=512
IMAGICK_AREA_LIMIT_MP=256
MAX_RESIZE_DIMENSION=4096

# Opt-in upload optimization (defaults are visually lossless)
OPTIMIZE_MAX_DIMENSION=2560
OPTIMIZE_JPEG_QUALITY=85
OPTIMIZE_WEBP_QUALITY=85
OPTIMIZE_PNG_QUALITY=95

# SSRF guard for /upload-url (true only for self-hosted internal fetches)
UPLOAD_URL_ALLOW_PRIVATE=false

Breaking change: TOKEN is now mandatory. The server refuses to boot with an empty TOKEN, because an empty server token previously let an empty client token bypass authentication on every protected endpoint. Set a non-empty TOKEN in .env before deploying. See the full env reference in .env.example.

Authentication

Two kinds of token exist. The general token keeps working exactly as before; the bucket-scoped tokens are optional and additive.

General token

TOKEN in .env, accepted on every authenticated endpoint.

The service refuses to start unless it is at least 32 characters and is not a template placeholder (REPLACE_ME, changeme, your-token-here and similar). A general token is accepted on the operator routes too, so a weak one weakens every endpoint at once.

openssl rand -hex 32                          # generate
curl -H "Authorization: Bearer your-token" ...  # use

Bucket-scoped tokens

A bucket-scoped token authorizes writes to exactly one bucket. Its wire format is <bucket>:<token>:

curl -X POST http://localhost:9090/upload \
  -H "Authorization: Bearer tedarik:6f2c..." \
  -F "file=@image.jpg"

• Accepted on /upload, /batch/upload, /upload-url, /batch/delete, DELETE /{bucket}/{path} and /resize.
• The bucket form or body field becomes optional: the token's own bucket is used. Passing a different bucket returns 403, so one tenant's credential can never touch another tenant's objects.
• Rejected on the operator endpoints (/aws/*, /minio/*, /monitor, /metrics, /ws). Those act on arbitrary buckets or expose service-wide data and need the general token.
• Optionally expiring, via expires_at (RFC 3339). Expiry is checked per request, so a token stops working the moment it passes without waiting for a restart. Omit the field for a token that never expires.

Setup:

cp config/tokens.template.json config/tokens.json
openssl rand -hex 32          # generate a token per bucket
$EDITOR config/tokens.json
docker compose up -d --build  # the file is read once at boot

{
  "buckets": [
    { "bucket": "tedarik", "token": "<32+ characters>", "label": "supply app" },
    { "bucket": "tramer", "token": "<32+ characters>", "expires_at": "2026-12-31T00:00:00Z" }
  ]
}

Security notes:

• config/tokens.json is git-ignored and docker-ignored. It is mounted read-only at runtime and never baked into an image layer.
• Tokens must be at least 32 characters; a bucket name must be 3-63 characters of lowercase letters, digits or -. An invalid file stops boot rather than silently dropping credentials. A missing file is fine and means the general token is the only credential.
• Secrets are hashed in memory after load and never appear in logs or responses.
• There is no runtime endpoint that mints or revokes tokens: with three API replicas behind nginx such writes would not propagate. Edit the file and restart.
• Read access is unaffected. GET /{bucket}/{path} stays public, so bucket isolation covers writes only.

API Usage

Image Operations

1. Upload an image:

curl -X POST http://localhost:9090/upload \
  -H "Authorization: Bearer your-token" \
  -F "file=@image.jpg" \
  -F "bucket=your-bucket" \
  -F "path=your/path"

With no extra parameter the original bytes are stored unchanged. Add optimize=true to store a visually-lossless, size-reduced version instead (re-encode + metadata strip + longest-side capped at OPTIMIZE_MAX_DIMENSION, default 2560px). Animated GIFs and non-image files pass through untouched, and if optimization ever fails the original is stored, so an upload never fails because of it. Explicit width/height form values take precedence over the cap. The same optimize flag works on /batch/upload (form field) and /upload-url (JSON field).

curl -X POST http://localhost:9090/upload \
  -H "Authorization: Bearer your-token" \
  -F "file=@photo.jpg" \
  -F "bucket=your-bucket" \
  -F "optimize=true"

2. Get an image with resizing:

# Original size
http://localhost:9090/your-bucket/image.jpg

# Resize with width
http://localhost:9090/your-bucket/w:300/image.jpg

# Resize with height
http://localhost:9090/your-bucket/h:200/image.jpg

# Resize with both
http://localhost:9090/your-bucket/w:300/h:200/image.jpg

3. Delete an image:

curl -X DELETE http://localhost:9090/your-bucket/image.jpg \
  -H "Authorization: Bearer your-token"

Bucket Operations

These require the general token; a bucket-scoped token is rejected.

1. List buckets:

curl http://localhost:9090/minio/bucket-list \
  -H "Authorization: Bearer your-token"

2. Create bucket:

curl http://localhost:9090/minio/your-bucket/create \
  -H "Authorization: Bearer your-token"

Monitoring

1. Connect to WebSocket for real-time updates:

// /ws requires the token as a query parameter (browsers cannot set headers)
const ws = new WebSocket("ws://localhost:9090/ws?token=your-token");
ws.onmessage = (event) => {
  const stats = JSON.parse(event.data);
  console.log("System stats:", stats);
  // Example stats data:
  // {
  //   "timestamp": "2024-01-15T10:30:00Z",
  //   "active_uploads": 5,
  //   "upload_speed": 1048576, // bytes/sec
  //   "cache_hit_rate": 85.5,  // percentage
  //   "cpu_usage": 45.2,       // percentage
  //   "memory_usage": 60.8,    // percentage
  //   "disk_usage": {
  //     "/data": 75,           // percentage
  //     "/uploads": 45
  //   },
  //   "errors": [
  //     "Failed to process image: invalid format"
  //   ]
  // }
};

2. Get current monitoring stats:

curl -H "Authorization: Bearer your-token" http://localhost:9090/monitor

Kubernetes Deployment

For production deployments, we provide comprehensive Kubernetes configurations with:

• Horizontal Pod Autoscaling (3-10 pods)
• Resource quotas and limits
• Health monitoring and readiness probes
• Load balancing strategies
• Secrets management, including the bucket-scoped token file
• Persistent volume claims

For detailed instructions, see Kubernetes Deployment Guide

Documentation

For detailed information, please refer to:

• Testing Guide
• Troubleshooting Guide
• Migration Guide
• Changelog
• Kubernetes Deployment Guide
• Contributing

License

This project is licensed under the Apache License - see the LICENSE file for details.