Designing Idempotent APIs in Distributed Systems Idempotency is the property that repeating the same request produces the same outcome. In distributed systems, retries are inevitable because of ti...

Database per Service — Pros/Cons Database-per-service is a core microservices principle. Each service owns its data, schema, and persistence technology. This improves autonomy but introduces distr...

Concurrency in Go vs C# Concurrency is a fundamental concept in programming that allows multiple tasks to be executed simultaneously. Both Go and C# provide robust support for concurrency, but the...

Concurrency in Go Concurrency is a fundamental concept in Go, allowing developers to write programs that can perform multiple tasks simultaneously. Go’s concurrency model is built around goroutine...

Error Handling in GoLang In Go, error handling is an essential part of writing robust and maintainable code. Unlike many other programming languages, Go does not use exceptions for error handling....

Building a Simple Web Server Using Golang In this post, I will guide you through the process of building a simple web server using Go. Go, also known as Golang, is a statically typed, compiled pro...

Let’s learn Go Lang In this post, I will share some resources and tips for learning Go Lang. Go, also known as Golang, is a statically typed, compiled programming language designed for simplicity ...

Docker Images Version Tagging Best Practices In this post, I will share some best practices for tagging Docker images. Proper versioning and tagging of Docker images are crucial for maintaining a ...

Introduction Feature flags decouple deployment from release. They enable controlled rollout, rapid rollback, and experimentation. Advanced teams treat feature flags as a runtime system with strong...

Contract-First vs Code-First API Development APIs are long-lived contracts between teams. The main decision is whether the contract is defined first (contract-first) or inferred from code (code-fi...

Introduction Infrastructure drift occurs when real-world resources diverge from the declared state in infrastructure-as-code (IaC). Drift erodes reliability, makes deployments unpredictable, and c...

Introduction Disaster recovery (DR) planning is effective only when RTO and RPO objectives are clearly defined and tested. RTO (Recovery Time Objective) sets the maximum acceptable downtime, while...

Introduction Repository strategy shapes build performance, developer workflow, and release governance. Large organizations must choose between monorepo and polyrepo based on scaling needs, depende...

Introduction Consistency is not a binary choice in distributed systems. You can often select stronger guarantees for critical operations and weaker guarantees for latency-sensitive paths. This pos...

Consistency Models Explained Simply Consistency models describe how a distributed system presents updates to readers. Understanding these models helps you select the right datastore and set correc...