One Long Job Took Down Our Whole Redis Streams Worker Pool
We run a small fleet of Python workers on top of Redis Streams. One night, a single long-running job quietly took the entire interactive pool offlin…
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Building an AI Automation Pipeline in Node.js with BullMQ: Queues, Retries and Rate Limits
Most AI automation demos are one await away from breaking. A webhook comes in, the handler calls a model, the response gets written to the database,…
Redis vs Dragonfly: A Hands-On Comparison
I have used Redis on almost every backend project I can remember. Caching, sessions, rate limiting, queues, the occasional bit of temporary state th…
Caching Strategies Explained: Cache-Aside vs Write-Through vs Write-Behind (With Redis Code)
A slow database query is one of the most common reasons a web app feels sluggish. Caching fixes it by keeping the answer in memory, so the next requ…
Asynchronous ERP Sync Engine: High-Throughput Webhook Ingestion & Durable Queue Orchestration
Processing inbound e-commerce order webhooks directly against downstream ERP systems (such as Odoo or SAP) exposes core applications to third-party…
Caching from Zero to Production
Every backend eventually hits the same wall: the database cannot keep up, but the data barely changes. That is the moment caching stops being an opt…
Full-Page Caching in Laravel: Large Redis Entries, predis vs phpredis, and Compression
A full-page cache stores the whole rendered response, so an entry is as large as the page it holds. Our Redis monitor showed response-cache entries…
How hot do you like it?
The real economics of Redis tiered storage, and why you might be paying too much for hot data The concept of splitting data resident in a Redis™ clu…
Redis vs Memcached: Complete Comparison
Redis vs Memcached: Complete Comparison In the high-stakes world of modern application development, performance and scalability are paramount. Devel…
Building a Temporary Message Sharing API with NestJS, PostgreSQL, Prisma & Redis
I recently built a temporary message-sharing API from scratch using NestJS, PostgreSQL, Prisma and Redis . The idea is simple: Create a message, gen…
Ten Million Keys, One Missing Index
This article explores how a per-entity index improves Redis cache invalidation by replacing repeated full-keyspace scans with targeted lookups. All…
Agent-Cache: Multi-Tier LLM Caching for Valkey and Redis
Agent loops burn tokens and clock cycles on repeated work. The same LLM prompt fires twice, the same tool call fetches identical data, and session s…
Redis Is Not Your Database: Designing Cache Failures, Fallbacks, and Resilient Backends
Redis can make a backend dramatically faster. It can also make a backend dramatically more fragile if the architecture treats the cache as a depende…
I Thought Redis Would Save My API. Just 500 Requests Proved Me Wrong.
As our series continues, Deep-Dive Backend Systems Roadmap. I created the simplest weather API backend, calling the other API to get weather data an…
Operational simplicity: the cross-key tax, quantified
Part 6 of 7 · ← Memory efficiency · Next: When to use which → Part 6. Throughput and latency are what benchmarks measure. This is the thing they usu…
sync = true protects one JVM, not the cluster
Originally published at bitsar.net . Twelve pods, one Redis, and @Cacheable(sync = true) on the method. I read that as a protected endpoint. It coor…
Building a rate limiter, why even use Redis.
Well I failed a amazon OA because of a rate limiting question, So I have built this rate limiter from first principles and haven't followed any tuto…
Valkey 9.1 vs Redis 8.4: The Fork Finally Grew Up
Back in March 2024, when Redis changed its license, the advice most teams got was simple: wait and see. Valkey, the Linux Foundation fork, was brand…
WebSocket Telemetry at Scale: When One Process Isn't Enough
[ EXECUTIVE TEARDOWN // TL;DR ] In-memory broadcast only reaches the local process — multi-instance real-time needs a shared backplane (Redis pub/su…
Memory efficiency: bytes per key
Part 5 of 7 · ← Latency under load · Next: Operational simplicity → Part 5. The shortest post in the series, and the least arguable number in it — b…
Nexus Core v1.7.0: Moving from MongoDB-Centric to Multi-Database Architecture
Nexus Core v1.7.0: Moving from MongoDB-Centric to Multi-Database Architecture Today I released Nexus Core v1.7.0 , and this is one of the most impor…
Valkey 9.1's memory saving stops at 97 bytes, not the 128 in the release notes
Valkey 9.1 shipped in May with a line in the announcement that caught my eye: "Internal pointer optimizations bring up to a 20% memory reduction for…
I was tired of heavy cache systems, so I built my own open-source KV-Storage🚀
A few weeks ago, I ran into a frustrating problem. Every time I needed a fast standalone Key-Value cache for my pet projects or microservices, I had…
What Database Race Conditions Taught Me About Distributed Locks
What 3 Database Race Conditions Taught Me About Distributed Locks When you start building backend systems with asynchronous workflows, everyone tell…
Creating an AI Streamer That Remembers Previous Visits — Designing Memory and Multi-Streaming States
📝 Originally published (in Japanese) at forge.workstyle.tech . I'm building an AI avatar stream that runs unattended. No human broadcaster — the ava…
Any Language, One Store: How Zaris Speaks the Redis Protocol
Zaris is a distributed key/value store built for .NET, with its own binary protocol and native .NET clients. With 2.0.0, every Zaris node can also e…
Two-Layer Idempotency: Why Not Every Settlement System Needs an Outbox
A few weeks ago I published a write-up on inverting the control flow of a settlement API: instead of the endpoint owning window semantics (batching,…
A rate limiter changes when it leaves memory
A rate limiter changes when it leaves memory Rate limiting can start with a Map and a counter. That is enough for a single process. The design chang…
Redora 0.3.1 — Redis for NestJS
There are already good Redis tools for NestJS. Most of them mainly help you connect NestJS to Redis and use the Redis client. That's useful, but as…
Инфраструктура данных 2052: что, если у данных больше не будет «прода» и «истории»?
Если мысленно вернуться в 1980-е , аналитика во многом находилась буквально над production Данные появлялись в операционных системах, затем из них с…