2d ago · 11 min read · TLDR: Serverless is strongest for spiky asynchronous workloads when cold-start, observability, and state boundaries are intentionally designed. TLDR: Serverless works best for spiky, event-driven workloads when you design for idempotency, observabili...
Join discussion3d ago · 5 min read · Modern applications — from banking platforms to e-commerce systems — rely on databases to store and manipulate critical data safely. Without strong guarantees, even simple operations could lead to corrupted information, inconsistent records, or perma...
Join discussion4d ago · 13 min read · TLDR: Sharding means splitting one logical dataset across multiple physical databases so no single node carries all the data and traffic. The hard part is not adding more nodes. The hard part is choosing a shard key that keeps data balanced and queri...
Join discussion4d ago · 4 min read · Introduction Scalability describes a system’s ability to handle increasing load. However, scalability is not a simple property that a system either has or lacks. Instead, it is about understanding how
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Mar 9 · 6 min read · Authentication is the first thing every app needs and the last thing most teams get right at scale. It starts simple – a users table, a password hash, a session cookie – and somewhere between 10,000 a
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Mar 8 · 10 min read · Imagine a popular dessert cafe during normal hours. Usually, there are customers who come in, but the café does not reach full capacity and each customer is served in a reasonable amount of time. Duri
Join discussionMar 9 · 14 min read · Flutter Architecture Patterns for Scalable Cross-Platform Apps: A Deep Dive for Tech Leads The promise of Flutter is undeniable: a single codebase for lightning-fast, beautiful apps across mobile, web, and desktop. But as your application grows in co...
Join discussionMar 9 · 14 min read · TLDR: Capacity estimation is the skill of back-of-the-envelope math that tells you whether your system design will survive its traffic before you write a line of code. Four numbers do most of the work: DAU, QPS, Storage/day, and Bandwidth/day. 📖 T...
Join discussionMar 9 · 13 min read · TLDR: Caching stores hot data in fast RAM so you skip slow database round-trips. Asynchronism moves slow tasks (email, video processing) off the critical path via message queues. Together, they turn a blocking, slow system into a responsive, scalable...
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