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NHNasim Hossain Rabbiblog.nasimhossain.dev1d ago · 10 min read

Little's Law: The Formula Behind Every Good System Design Interview

You're in a system design interview and you're asked to design a banking application. Customers can: Login View accounts Check transactions Transfer money Download statements The interviewer ad

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YJYasir Jafriyasir323.hashnode.dev1d ago · 13 min read

Picking the Right UUID Version (So Your Database Doesn't Hate You)

I used to type uuid.uuid4() for years without giving it a second thought. It works, it's unique, ship it. Then one afternoon I was staring at a Postgres table where inserts had slowed to a crawl, the

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YJYasir Jafriyasir323.hashnode.dev1d ago · 12 min read

Choosing a Primary Key: A Tour of the IDs Real Systems Actually Use

The last article in this series was all about picking the right UUID version. This one pulls back a bit further, because UUIDs are just one item on a much longer menu, and depending on what you're bui

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SSSerhat Soruklubuiltendtoend.hashnode.dev2d ago · 23 min read

At One Million Pages, Small Decisions Stop Being Small

What large-scale catalogue systems teach you about queries, indexing, SEO, caching, and operational discipline. A database does not care that a change looked small in the pull request. Add one field.

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CSConverge Solutionconvergesol.hashnode.devSep 8 · 7 min read

What Causes Thread Pool Starvation in ASP.NET Core APIs? How to Detect and Fix It

An ASP.NET Core API can start responding slowly under load even when CPU and memory utilization look completely normal. Requests take longer to complete. Some begin queuing. Eventually, users may see

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MAMossab Arektoutmossabarektout.hashnode.devSep 3 · 2 min read

The Ramen Shop Guide to Scalability (A 5-Page Manga)

Scaling can be abstract and hard to visualize. So, I turned it into a manga! Meet Mono, a ramen chef with a single pot. His shop goes viral, and he must master Vertical Scaling, Horizontal Scaling, an

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Qqodorsqodors.hashnode.devSep 2 · 7 min read

Why Your Backend Slows Down at Scale — And How Microservices Fix It

Your backend may work perfectly when the application is small. Requests are fast, the database responds quickly, and one server can handle most of the traffic. As the number of users grows and more fe

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ARAnil Ramisettyenterprise-crm-insights.hashnode.devAug 30 · 10 min read

Enterprise CRM Insights #3 Designing Scalable Dataverse Solutions: Lessons from Enterprise CRM Projects

A solution can be technically correct and still become difficult to operate as the organization grows. I've seen Dynamics 365 implementations start with relatively simple requirements and gradually ac

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PKPRINCE KUMARprincekumar-engineer.hashnode.devAug 30 · 27 min read

Kafka Explained Like You're 5: Events, Partitions, and Consumer Groups

How does a large application process millions of events every day? Think about a food delivery app. Every minute, thousands of things are happening: Someone creates an account. Someone places an ord

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SKShivam Kumarshivamshrma09.hashnode.devAug 28 · 27 min read

Deep dive into Database scaling and caching

Why databases are the bottleneck Out of every component in a system, the database is usually the one that makes or breaks it. Your app servers are stateless, so you can spin up ten more of them in a m

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#scalability

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Trending tags this week

Little's Law: The Formula Behind Every Good System Design Interview

Picking the Right UUID Version (So Your Database Doesn't Hate You)

Choosing a Primary Key: A Tour of the IDs Real Systems Actually Use

At One Million Pages, Small Decisions Stop Being Small

What Causes Thread Pool Starvation in ASP.NET Core APIs? How to Detect and Fix It

The Ramen Shop Guide to Scalability (A 5-Page Manga)

Why Your Backend Slows Down at Scale — And How Microservices Fix It

Enterprise CRM Insights #3 Designing Scalable Dataverse Solutions: Lessons from Enterprise CRM Projects

Kafka Explained Like You're 5: Events, Partitions, and Consumer Groups

Deep dive into Database scaling and caching