Tag

#performance

23 posts

Scaling Infrastructure: The Edge, Horizontal Scale, and the Math Behind Them

Scaling Infrastructure: The Edge, Horizontal Scale, and the Math Behind Them

Application-level fixes (kill the N+1, add the index) get you a long way, but…

Performance, Measured: Percentiles, Profiling and the Laws That Decide What's Worth Optimizing

Performance, Measured: Percentiles, Profiling and the Laws That Decide What's Worth Optimizing

The single most expensive habit in performance work is optimizing by gut feel…

Backend Performance: Kill N+1, Add the Index, Cache What's Hot

Backend Performance: Kill N+1, Add the Index, Cache What's Hot

Ask where a slow backend spends its time and the honest answer is almost always…

AI Application Performance: Stream First, Shrink the Context, Route the Model

AI Application Performance: Stream First, Shrink the Context, Route the Model

LLM applications have two performance budgets that classic backends don’t worry…

Redis — The In-Memory Data-Structure Store, End to End

Redis — The In-Memory Data-Structure Store, End to End

Redis is one of the most-used pieces of infrastructure in the world — the fast…

Go for Backend Engineers — Concurrency, Simplicity and Real Numbers

Go for Backend Engineers — Concurrency, Simplicity and Real Numbers

Most backend languages give you more features every year. Go went the other way…

Database Internals for Backend Engineers — PostgreSQL in Depth

Database Internals for Backend Engineers — PostgreSQL in Depth

Most backend engineers use a database every single day, and treat it like a…

Performance Optimization and Profiling in Node.js

Performance Optimization and Profiling in Node.js

Profiling First, Optimize Second Never optimize blindly. Always profile to find…

Node.js Architecture — Event Loop Deep Dive

Node.js Architecture — Event Loop Deep Dive

Why the Event Loop Matters Node.js runs JavaScript on a single thread, yet…

Deep Dive on Caching: From Browser to Database

Deep Dive on Caching: From Browser to Database

“There are only two hard things in Computer Science: cache invalidation and…