Data-Pipeline7 min read
AI Data Ingestion Pipelines — Processing Documents at Scale for RAG
Build robust document ingestion pipelines: extract text, chunk, deduplicate, embed, and monitor health at scale.
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Scaling
27 articles
backend6 min read
Auto-Scaling Gone Wrong — When Your Scaler Makes Things Worse
Auto-scaling is supposed to save you during traffic spikes. But misconfigured scalers can thrash (scaling up and down every few minutes), scale too slowly to help, or scale to so many instances they exhaust your database connection pool. Here''s how to tune auto-scaling to actually work.
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backend6 min read
Blocking I/O in Async Systems — The Node.js Event Loop Killer
One synchronous, blocking operation in your Node.js server blocks EVERY concurrent request. JSON.parse on a 10MB payload, a for-loop over 100k items, or a synchronous file read — all of them freeze your event loop and make your entire server unresponsive. Here''s how to find and eliminate blocking I/O.
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backend6 min read
Cache Stampede — When Your Cache Fix Breaks Everything
Cache stampede (a.k.a. thundering herd on TTL expiry) is one of the most dangerous failure modes in high-traffic systems. The moment your cache key expires, hundreds of simultaneous requests hammer your database — often killing it. Here''s how it happens, and exactly how to fix it.
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backend6 min read
Cold Start Latency — Why Your Serverless Function Is Slow on First Request
Your serverless function takes 3-4 seconds on the first request, then 50ms on subsequent ones. This is cold start latency — and it''s the #1 complaint about serverless architectures. Here''s what causes it, how to measure it, and exactly how to minimize it.
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backend6 min read
CPU Spikes After Deployment — Diagnosing and Fixing Production Hotspots
You deploy a seemingly innocent feature and suddenly CPU spikes from 20% to 95%. Response times triple. The root cause could be a regex gone wrong, a JSON parse on every request, a synchronous loop, or a dependency update. Here''s how to diagnose and fix CPU hotspots in production.
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postgres12 min read
Read/Write Splitting in Production — Scaling Reads Without Sharding
Route reads to replicas and writes to primary with lag monitoring, sticky sessions, circuit breakers, and Prisma/Drizzle configuration.
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backend7 min read
DB Connection Pool Exhaustion — Why Your App Hangs at Peak Load
Connection pool exhaustion is one of the most common and sneakiest production failures. Your app works perfectly at low load, then at 100 concurrent users it freezes completely. No errors — just hanging requests. Here''s the full diagnosis and fix.
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backend5 min read
Hot Partition in Distributed Databases — When One Shard Gets All the Heat
You horizontally scaled your database to 10 shards, but 90% of traffic still hits just one of them. Writes queue, latency spikes, and one node is on fire while the others idle. This is the hot partition problem — and it''s all about key design.
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backend6 min read
Improper Sharding Strategy — When Your "Scalable" Database Isn't
You shard by user ID. 80% of writes go to 20% of shards because your top customers are assigned to the same shards. Or you shard by date and all writes go to the current month''s shard. Uneven distribution turns a scaling solution into a bottleneck.
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backend6 min read
Load Balancer Misconfiguration — The Hidden Single Point of Failure
A misconfigured load balancer can route all traffic to one server while others idle, drop connections silently, or fail to detect unhealthy backends. These problems are invisible until they cause production incidents. Here are the most dangerous LB misconfigurations and how to fix them.
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backend6 min read
Memory Leak in Production — How to Find and Fix It
Memory leaks in Node.js are insidious — your service starts fine, runs smoothly for hours, then slowly dies as RAM fills up. Every restart buys a few more hours. Here''s how to diagnose, profile, and permanently fix memory leaks in production Node.js applications.
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architecture7 min read
The Modular Monolith — All the Benefits of Microservices Without the Distributed Systems Tax
Learn how to structure a monolith as independent modules with strong boundaries, gaining microservices benefits without operational complexity.
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backend6 min read
N+1 Query Problem — The Silent Performance Killer in Every ORM
The N+1 query problem is responsible for more "why is my app slow?" investigations than almost anything else. It hides perfectly in development, then silently kills your database at scale. Here''s exactly what it is, how to detect it, and every way to fix it.
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nodejs8 min read
Node.js Cluster Mode — Using All CPU Cores Without Kubernetes
Use all CPU cores with cluster.fork() and PM2. Master sticky sessions, zero-downtime reloads, Redis for shared state, and cluster vs worker_threads tradeoffs.
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postgresql8 min read
PostgreSQL Sharding — When to Shard, How to Shard, and What It Costs You
Learn when sharding becomes necessary, compare hash vs range vs list partitioning, explore Citus for horizontal scaling, and understand the costs of distributed queries and shard key selection.
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push-notifications10 min read
Push Notifications at Scale — Web Push, APNs, FCM, and the Delivery Problem
Reach users across devices with Web Push, FCM, and APNs. Handle retries, deduplication, scheduled sends, and delivery tracking at scale without losing messages.
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postgresql8 min read
Read Replicas in Production — Offloading Reads, Handling Lag, and Routing Queries
Master read replica deployment: detect replication lag, handle read-after-write consistency, implement query routing middleware, monitor replica health, and recognize when replicas don''t help.
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backend6 min read
Redis Eviction Causing Chaos — When Your Cache Turns on You
Redis is full. Instead of failing gracefully, it starts silently evicting your most important cache keys — session tokens, rate limit counters, distributed locks. Your app behaves mysteriously until you realize Redis has been quietly deleting data. Here''s how to tame Redis eviction.
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backend6 min read
Slow Queries That Only Appear at Scale — The Indexing Problem
Your query runs in 2ms in development with 1,000 rows. In production with 10 million rows, the same query takes 8 seconds. The database does a full table scan on every single request. Here''s how to identify missing indexes, write efficient queries, and build a database that stays fast as data grows.
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system-design6 min read
System Design for AI-Powered Products — Architecture Decisions That Scale
Practical system design patterns for AI products: async-first LLM architectures, response caching strategies, fallback chains, cost metering, and observability at scale.
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backend6 min read
Thread Pool Starvation — Why Node.js Blocks Even in Async Code
You wrote perfectly async Node.js code — no blocking I/O, no synchronous loops. Yet under load, responses stall and CPU pegs. The culprit is Node.js''s hidden libuv thread pool being exhausted by crypto, file system, and DNS operations. Here''s what''s really happening.
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backend6 min read
Thundering Herd on Service Restart — The Restart That Kills Your System
You restart your service for a hotfix. Within seconds, the new instance is overwhelmed — not by normal traffic, but by a thundering herd of requests that had queued up during the restart. Here''s why it happens and how to protect your service from its own restart.
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backend6 min read
Traffic Spike After Marketing Campaign — Surviving Your Own Success
Your marketing team runs a campaign. It goes viral. Traffic spikes 50x in 10 minutes. Your servers crash. This is the happiest disaster in tech — and it''s entirely preventable. Here''s how to build systems that survive sudden viral traffic spikes.
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vector-search12 min read
Vector Search With Filtering — Combining Semantic Search and Metadata Filters at Scale
Master pre-filtering, HNSW payload filtering, pgvector filtering, hybrid scoring, and re-ranking to build fast, accurate semantic search at scale.
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websockets8 min read
WebSockets at Scale in 2026 — Beyond Socket.io to Production-Grade Real-Time
Socket.io doesn''t scale. Learn raw WebSocket patterns with ws, horizontal scaling via Redis pub/sub, and why Cloudflare Durable Objects might be your next architecture.
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devops9 min read
Zero-Downtime Deployments — Rolling Updates, Blue/Green, and Health Check Patterns
Master zero-downtime deployments with rolling updates, graceful shutdown, health checks, and blue/green strategies. Learn SIGTERM handling and preStop hooks.
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