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9 articles found

Microservices Won’t Save You: The Hard Lessons from Shopify’s Modular Monolith and Discord’s ScyllaDB Migration

A deep dive into real-world system evolution, including Shopify’s journey with a modular monolith and Discord’s move from Cassandra to ScyllaDB, revealing practical trade-offs in scalability and maintainability.

#case-studies#database-migration#microservices...

ethical-ai

The 2M-Page Elephant in the Room: What EpsteinFiles-RAG Reveals About AI’s Infrastructure Crisis

A developer’s open-source RAG pipeline processing 2M+ pages of the Epstein Files exposes the brutal reality of scaling retrieval systems: the demo is easy, but production is a nightmare of hidden costs, ethical landmines, and infrastructure complexity.

#ethical-ai#Scalability

database

It’s 2026 and Postgres Already Won: The Database War No One Saw Coming

PostgreSQL didn’t just survive the specialized database boom, it assimilated it. Here’s how one database ate the entire data stack and why your polyglot persistence strategy is probably technical debt.

#database#postgresql#Scalability

database-design

MySQL Doesn’t Crash at Scale, Your Architecture Does

A developer’s manager insisted MongoDB was needed for activity logs because MySQL ‘crashes under large data.’ The reality? MySQL tables with 34 billion rows beg to differ. Here’s how to spot the real bottlenecks.

#database-design#mongodb#mysql...

overengineering

The Infinite Scale Trap: Why Most Apps Don’t Need Distributed Databases

A critical look at the over-engineering epidemic where teams default to complex distributed databases before hitting even 1GB of data, incurring massive operational overhead for zero gain.

#overengineering#postgresql#Scalability

event-driven-architecture

Event-Driven Architecture’s Production Reality: When Your Decoupled System Becomes a Distributed Debugging Nightmare

EDA diagrams promise elegance, but production delivers cascading failures, noisy neighbors, and observability challenges that require 20-40% over-provisioning and distributed tracing just to stay afloat.

#event-driven-architecture#messaging#Scalability

clean-code

The Architecture Wars: Hexagonal vs Clean vs Onion – Which One Actually Future-Proofs Your Code?

A no-BS breakdown of three architectural heavyweights fighting for your next project’s soul

#clean-code#microservices#Scalability...

database

Your Million-User Dream is a Database Nightmare in Waiting

Why scaling from zero to millions breaks most systems and how to design for the inevitable collapse.

#database#Scalability#startups...

Azure

Scaling to 10 Million Users on Azure: The Microservices Mistake Nobody Admits

Why premature microservices and over-engineering doom Azure scaling efforts, real lessons from hitting 10 million users

#Azure#Cloud Scaling#devops...