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scalability
5 postsWhy Distributed Systems Are Often Slower Than One Laptop
The 2015 COST paper showed distributed systems often lose to a single thread. A worked case study reveals the real cost of premature scaling.
distributed-systemsperformancearchitectureengineering-costRate Limiting at Scale: Choosing the Right Throttling Algorithm
Why in-memory rate limiting silently breaks under horizontal scaling, and how token bucket, sliding window and fixed window algorithms trade off in production.
rate-limitingredisdistributed-systemsbackendLessons Learned Scaling to 1 Million Lambda Functions
How ProGlove scaled its serverless SaaS platform from thousands to over a million AWS Lambda functions, and the quota, cost and architecture lessons learned.
awslambdaserverlesssaasShopify Ditched Redis for MySQL in Inventory Reservations at Scale
Shopify moved its checkout inventory reservation system from Redis to MySQL, using SKIP LOCKED, composite keys and isolation tuning to scale through Black Friday peak traffic.
mysqlredisdatabase-designscalabilityWhy LLM Apps Must Be Engineered as Distributed Systems
A production AI app broke under load—not because of the model, but missing queues, caching, retries and observability. Backend engineering is the real differentiator.
ai-engineeringdistributed-systemsllmbackend