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…
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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…
How to do work queuing?
Introduction One of the important things to consider for this CI/CD tool is how to execute the different jobs. CI/CD jobs are long running and can t…
System Design: A popular cache key expires and 40,000 requests hit your database. How do you fix it?
You are in a Staff Engineer system design interview. The interviewer draws a simple architecture on the whiteboard: an API, a Redis cache, and a Pos…
Why Your Express API Needs Redis Rate Limiting Before You Scale published: true
When I was building my backend API, I realized a big problem: anyone could spam my endpoints. If a user repeatedly reloads a page or hits an endpoin…
Shopify Replaced Redis With MySQL for Inventory Reservations — and It Scaled Better
Shopify just did something that would make most engineers do a double-take: they replaced Redis with MySQL for their inventory reservation system, a…
Caching: How Backend Systems Get Faster with Redis
Analogy Imagine you have built a backend API that works perfectly. You deploy it. Users start coming in. At first, everything feels fast. Then the t…
The Redis & Kafka Interview Questions I Got Asked 23 Times (And How I Finally Answered Them)
Every senior backend interview I've done in the last 18 months asked at least one Redis question and one Kafka question. Below are the 10 that came…
Directus + Coolify: Should You Decouple Postgres & Redis?
This is Part 2 of the Directus + Coolify series. If you're new here, start with "Secure Your VPS Before Hackers Do" and the first Directus + Coolify…
Cache and Redis: Why and How to Use
Imagine your application makes thousands of queries to the same database. All this traffic generates latency, CPU load, disk load, and increases cos…
Redis Complete Guide: Caching, Queues & Pub/Sub (2026)
Redis is a data structure server that lives in memory. It's fast because reads and writes never touch a disk during normal operation. It's versatile…
Correctness Has a Price: We Benchmarked Fair Leaderboards
Engineering posts often end with: The new design is correct, scalable, and fast. Fast compared with what? When we changed Podium so tied players ran…
Redis Cluster Won't Shard Your Hot Leaderboard
"We use Redis Cluster" can mean two very different things: Our dataset is distributed across Redis nodes. Every individual data structure is distrib…
Your Redis Leaderboard Is Probably Breaking Ties Wrong
A leaderboard looks like a one-command problem: ZADD weekly 100 alice ZADD weekly 100 bob ZREVRANGE weekly 0 -1 WITHSCORES While building Podium , a…
How redis-packhash Helps You Leverage Listpack Hashes in Redis
In my earlier post , I showed that storing a million small values as Redis keys is a waste of memory. It's because every key has its own overhead. T…
Celery + Redis: Background Tasks Made Simple
Celery + Redis: Background Tasks Made Simple tags: python, celery, redis, tutorial tags: python, celery, redis, tutorial Celery + Redis: Background…
Four Vectors, One Record: How I Split Embeddings Before They Hit Search
The failure that pushed me into this design was not subtle. I had a blended embedding that kept returning candidate matches that looked reasonable a…
RockPlayer: Building a Modern Music Player with Angular, ASP.NET Core, Redis, and YouTube
Hello everyone! After publishing my Machine Learning with ML.NET series, I decided to turn the recommendation model into a complete application. In…
Building Resilient Real-Time Systems: WebSockets and Redis for High Availability
Originally published on tamiz.pro . Building real-time systems that can withstand failures, scale under load, and maintain consistent state is a sig…
A Small Refresh Bug That Uncovered Security Gaps in My OTP System
The Bug That Started It All It began as a small bug I found myself while testing: OTP verification kept failing whenever I refreshed the page, opene…
Caching Strategies for a SaaS
In Disaster Recovery and Backups , we made peace with the database disappearing entirely: accept it can happen, and make recovery boring and rehears…
Cache Invalidation Strategies with Redis
There's an old joke that there are only two hard problems in computer science: cache invalidation and naming things. The joke endures because it's t…
Refresh-Ahead Caching with Redis
Every cache pattern so far accepts that cache misses happen: a key expires, a request misses, and someone pays the cost of reloading from the databa…
Write-Behind (Write-Back) Caching with Redis
Write-through keeps the cache and database consistent by writing to both synchronously, which makes writes as slow as the database. Write-behind tak…
Read-Through and Write-Through Caching with Redis
Cache-aside puts the caching logic in your application. Read-through and write-through move it into the cache layer itself, so the application talks…
The Cache-Aside Pattern with Redis
Cache-aside is the caching pattern you'll use most, and probably the one you already use without knowing its name. The application checks the cache…