Ideas Weave Every Narrative with AI.
Shopify didn’t just swap Redis for MySQL—they redesigned inventory from a single counter to one row per unit, eliminating write contention. But while engineers celebrate the elegant fix, comments reveal a crisis of trust: AI authorship suspicions and the company’s far-right leadership. The lesson: technical brilliance is meaningless without ethical alignment.
CatQueue removes Redis from your Node.js job queue, betting that PostgreSQL’s reliability is enough for most real-world workloads. This article challenges the default assumption that you need a dedicated high-performance store, and shows how simplifying your stack can reduce operational debt without sacrificing performance—until you truly need to scale.
Most job queues are over-engineered for the tasks they actually perform. Zizq is a single-binary, zero-dependency job queue that challenges the assumption that you need distributed infrastructure. Built on LSM-trees and lock-free data structures, it’s fast, durable, and language-agnostic. The real question: have we been scaling for the wrong problem?
Conventional wisdom says databases can’t handle queues. That was a lie from 2012. Modern Postgres, with SKIP LOCKED and LISTEN/NOTIFY, can handle tens of thousands of messages per second, eliminating the need for separate message brokers like Kafka or Redis for most applications. The real cost of adding a separate queue is operational complexity and transactional inconsistency. Stop adding infrastructure. Use what you already own.
An AI tool discovered 19 zero-day vulnerabilities in Redis 8.8.0 in just 1.5 hours. This is a wake-up call: the speed of AI-driven vulnerability discovery has completely outpaced human patch deployment. The cybersecurity industry is now in an AI-vs-AI arms race where the slowest part of the system is us.
Forget vector databases. Your AI coding agent needs real-time state management, and Redis—a 15-year-old database—is the secret weapon that turns fragile demos into autonomous systems. The industry is chasing the wrong solution; the real bottleneck is latency, not recall.