👋 Hey, I'm Rahul — a full-stack developer who loves turning ideas into clean, functional products. I write about JavaScript, Node.js, React, and real-world dev lessons. Expect dev logs, bugs I broke (and fixed), and things I'm learning along the way. 🛠 Currently building, shipping, and writing one commit at a time.
Building, debugging, and scaling ideas.
Jun 29, 2025 · 2 min read · “How do you split an ocean and still find the right drop in milliseconds?”That’s what modern databases are trying to solve. The Scalability Dilemma Your app is booming. Yesterday it had 10,000 users. Today? 100,000. And suddenly: ⚠️ Queries are slo...
Join discussionJun 29, 2025 · 3 min read · Hash vs. Range vs. Consistent Hashing — What Fits Best? 📌 Overview You’ve now explored: 📦 Hash-Based Sharding 📊 Range-Based Sharding 🔁 Consistent Hashing Each has strengths. Each has trade-offs. So, which one should you choose? In this post...
Join discussionJun 29, 2025 · 4 min read · How to rebalance with minimal disruption — even as your system grows 📌 Overview One of the biggest limitations in hash-based sharding is this: when you add or remove a shard, your entire hash map breaks.You must rehash and redistribute almost every ...
Join discussionJun 27, 2025 · 3 min read · Scaling Smart With Sorted Keys (and Hidden Pitfalls) 📌 Overview Range-based sharding is one of the simplest and most intuitive ways to split data across servers — especially when your data has a natural order like timestamps, IDs, or numerical value...
Join discussionJun 24, 2025 · 3 min read · A Developer’s Guide to Distributed Database Design 📌 Overview Hash-based sharding is one of the most popular strategies used to evenly distribute data across multiple database nodes. It’s simple, effective — and widely adopted by systems like Twitte...
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