Technical

Docker Optimization Techniques for Production Docker has revolutionized how we deploy applications, but getting it right in production requires careful optimization. In this post, I’ll share proven techniques to make your Docker images smaller, faster, and more secure. Why Docker Optimization Matters Performance Impact Faster deployments: Smaller images deploy quicker Reduced resource usage: Optimized containers use less memory and CPU Better scaling: Efficient containers scale more effectively Cost Benefits Lower storage costs: Smaller images reduce registry storage Reduced bandwidth: Faster image pulls save on network costs Efficient resource utilization: Better performance per dollar Multi-Stage Builds One of the most effective optimization techniques is using multi-stage builds: ...

Building Scalable APIs with Go Go has become increasingly popular for building high-performance APIs due to its excellent concurrency model, fast compilation, and robust standard library. In this post, I’ll share some best practices I’ve learned while building production APIs with Go. Why Choose Go for APIs? Performance Benefits Fast compilation: Go compiles to native machine code Low memory footprint: Efficient garbage collection Excellent concurrency: Goroutines make handling concurrent requests efficient Developer Experience Simple syntax: Easy to learn and maintain Rich standard library: Built-in HTTP server, JSON handling, etc. Strong typing: Catch errors at compile time Setting Up a Basic API Server Here’s a simple example using Go’s built-in net/http package: ...