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Image Transformation API

C#.NET 8DockerAzure FunctionsPrometheus+1
Image Transformation API

🧠 Overview

Image Transformation API is a modern .NET 8 Web API for real-time image processing and CDN delivery. It enables developers to resize, crop, convert, filter, and watermark images via simple HTTP endpoints. Designed for performance and scalability, it features built-in rate limiting, API key quotas, logging, and Prometheus metrics. The API is easily self-hosted (Docker, Azure Functions, Kubernetes) and is ideal for web apps, SaaS, or any service needing dynamic image handling.

🛠️Technology Stack

Built on the latest .NET 8 platform, optimized for cloud-native and serverless deployments with comprehensive monitoring.

🔷C#⚙️.NET 8🐳DockerAzure Functions📊Prometheus📝Serilog

✨ Core Capabilities

Key Features

  • Image Resizing & Cropping

    Resize images and crop in rectangle or rounded shapes

  • Format Conversion

    Convert between formats (JPEG, PNG, WebP, AVIF)

  • Image Filtering

    Apply filters like grayscale, invert, and blur

  • Watermarking

    Add text or image watermarks with positioning control

Image Processing features

🧱 Architecture & Implementation

🧩

Performance Optimization

Performance

Challenge:

Create an image processing API that can handle high throughput with minimal latency while efficiently managing memory and CPU resources.

Solution:

Implemented asynchronous processing with stream-based operations to minimize memory usage. Utilized .NET 8 Minimal API pattern to reduce overhead and leveraged native image libraries for optimal performance.

Impact:

Achieved sub-100ms processing times for most operations and efficient resource utilization, making the API suitable for serverless environments with cold starts and memory constraints.

📊Technical Specifications

Processing Time

<100ms

💾Memory Usage

Optimized

🔄API Coverage

15+ Operations

Code Coverage

92%

🛠️ Deployment Options

📅Implementation Journey

Initial Setup

Docker Container

Alpine-based container with optimized layers

Cloud Deployment

Azure Functions

Serverless deployment with consumption plan

Scaling Option

Kubernetes

Helm charts for K8s deployment

Advanced Setup

CDN Integration

Edge caching with Azure CDN or Cloudflare

📈 Development Process

📅Project Progression

February 2025

Core API Design

Designed API structure and key operations

March 2025

Image Processing Features

Implemented core image manipulation operations

April 2025

Security & Monitoring

Added API keys, rate limiting, and metrics

May 2025

Containerization

Docker support and cloud deployment options

June 2025

Advanced Features

Adding AI enhancement and CDN integration

🚧 WIP + Future Roadmap

Upcoming Features

  • Advanced Filters

    Sharpen, brightness, contrast adjustments

  • AI-powered Enhancements

    Upscaling, style transfer using ML models

  • Face Detection

    Smart cropping based on face recognition

🔗 Summary

🧩

Project Impact

API Development

Challenge:

Create a flexible, high-performance image processing API that can be easily integrated into various applications and deployment environments.

Solution:

Developed a comprehensive .NET 8-based API with a focus on performance, security, and developer experience, offering multiple deployment options and extensive monitoring capabilities.

Impact:

Image Transformation API provides a robust, production-ready solution for dynamic image processing in modern web and cloud applications. With a focus on performance, security, and developer experience, it's ideal for any project needing scalable, real-time image manipulation.