Distributed Systems
Deploying Distributed Go Microservices on Kubernetes: A Complete Guide with Kind
12 min readIntroduction Distributed systems have become the foundation of modern applications, offering benefits in scalability, resilience, and separation of concerns. However, deploying and …
Decentralized Request Throttling for Distributed API Gateways
11 min readRate limiting is a critical aspect of API management, but implementing it in distributed environments presents unique challenges. This article explores a practical approach to …
Building Resilient Rust Microservices with Circuit Breakers and Priority Queues
14 min readIn modern distributed systems, microservices must cope with unreliable dependencies and varying workloads. Two patterns — circuit breaker and priority queues — help make services …
Building Robust Microservices in Go with gRPC and Protocol Buffers: A Complete Guide
19 min readIn modern software development, microservices architecture has become the standard approach for building large-scale, distributed systems. This architectural pattern allows teams …
Building a Production-Ready Load Balancer in Go
22 min readLoad balancers are critical components in modern distributed systems, ensuring reliability, scalability, and high availability. This guide walks through building a robust load …
Building a Lightweight Kafka Clone in Go: Architecture, Implementation, and Lessons
34 min readMessage brokers form the backbone of modern distributed systems, enabling loose coupling, asynchronous communication, and data streaming between services. Apache Kafka has emerged …
Building a High-Performance In-Memory Cache in Go: From Basics to Production
20 min readIn-memory caching is a fundamental technique for building high-performance applications. This guide walks through implementing a robust in-memory cache in Go, from basic concepts …
Advanced Linux Distributed Systems Programming: Building Fault-Tolerant and Scalable Applications
16 min readAdvanced Linux distributed systems programming requires understanding of consensus algorithms, distributed coordination, fault tolerance patterns, and scalable architectures. This …