Posts

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: ...

Why Weekend Projects Are Essential (Even When They’re Terrible) Last weekend, I spent 6 hours building a web app that lets you rate different types of clouds. Not cloud computing—actual clouds in the sky. Cumulus, stratus, cirrus. Users can upload photos and rate them on “fluffiness,” “dramatic effect,” and “likelihood to ruin a picnic.” It’s absolutely ridiculous. It serves no real purpose. The code is terrible (I was experimenting with a framework I’d never used). And I loved every minute of it. ...

Coffee, Code, and Life Balance As I sit here with my third cup of coffee today (it’s only 2 PM, don’t judge), I can’t help but reflect on the relationship between coffee, code, and the eternal quest for work-life balance that defines so much of our lives as software engineers. The Coffee-Code Connection There’s something almost ritualistic about the way many developers approach coffee. It’s not just caffeine—it’s a trigger, a signal to the brain that it’s time to enter “flow state.” That first sip in the morning, the steam rising from the mug as you fire up your IDE, the gentle warmth that spreads through your fingers as you wrap them around the ceramic… ...

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: ...