Blog — Page 49 of 53
Browsing page 49 of 53 — 634 articles and counting.
Write-Ahead Logs: How Databases Guarantee Durability and Crash Recovery
A deep technical guide to write-ahead logging: sequential write mechanics, fsync semantics, checkpointing, log compaction, how Postgres, SQLite, and Kafka each implement WAL differently, crash recovery sequences, and production considerations around disk I/O, WAL size, and replication.
Building AI Agents That Actually Work: Orchestration Patterns for Production
Most AI agent demos use a simple loop that collapses under real-world constraints. This article covers the orchestration patterns that make agents reliable in production: topology design, tool-use, memory management, error recovery, observability, and cost guardrails.
Building Hybrid Search: Combining Vector Embeddings and BM25 for Production Retrieval
Most teams pick either keyword search or vector search and miss the sweet spot. This article covers how BM25 and vector similarity complement each other, reciprocal rank fusion scoring, TypeScript implementation with Postgres pgvector and full-text search, embedding model selection tradeoffs, reranking with cross-encoders, and production tuning for relevance.
Fine-Tuning vs RAG: How to Choose the Right LLM Customization Strategy
Most teams default to RAG because it is simpler to set up, but fine-tuning solves fundamentally different problems. This article breaks down the architecture of each approach, compares cost, latency, and accuracy tradeoffs with real numbers, and gives a concrete decision framework based on whether the knowledge you need to add is behavioral or factual.
LLM Cost Optimization in Production: Token Budgets, Semantic Caching, and Model Routing
Most teams overspend on LLM inference by 3-10x because they treat every request identically. This guide covers the full cost reduction stack: token budget enforcement, semantic caching with embeddings, intelligent model routing, prompt compression, and batch vs real-time tradeoffs. TypeScript throughout.
Distributed Tracing in Practice: OpenTelemetry, Context Propagation, and Debugging Across Services
Logs tell you something broke. Traces tell you where and why. This guide covers OpenTelemetry instrumentation in TypeScript, context propagation across HTTP and message queues, sampling strategies that control cost, backend choices, and practical debugging workflows for distributed systems.
Consistent Hashing Explained: How Distributed Systems Balance Load Without Coordination
Naive modular hashing falls apart the moment you add or remove a node. Consistent hashing solves this with a ring structure and virtual nodes. Here is how it works, why it matters, and how to implement it in TypeScript.
CQRS in Practice: Separating Reads and Writes for Scalable Systems
A practical guide to the CQRS pattern: when it genuinely helps, TypeScript implementation patterns, handling eventual consistency, the relationship with event sourcing, and production considerations for debugging and migration.
Database Sharding Strategies: Horizontal Partitioning for Scale
Single-database architectures eventually hit a ceiling that no hardware upgrade can fix. This guide covers hash-based, range-based, directory-based, and geo-based sharding with TypeScript and PostgreSQL examples, shard key selection, cross-shard queries, resharding, and a decision framework for when sharding is actually the right call.
Designing a File Upload Pipeline: Presigned URLs, Chunked Uploads, and Processing at Scale
Most file upload implementations start as a simple POST endpoint and collapse under real production load. This article covers the full architecture: presigned URLs for direct-to-storage uploads, chunked and resumable transfers for large files, virus scanning, async processing pipelines, CDN delivery, and the failure modes that surface at scale.
Designing a Multi-Tenant SaaS Backend: Isolation Strategies, Schema Design, and Scaling Patterns
A practical guide to the three multi-tenancy isolation models: silo, bridge, and pool. Covers schema design, tenant context propagation, noisy neighbor prevention, connection pooling, and a decision framework for SaaS teams choosing between them.
Designing a Notification System: Push, Email, SMS, and In-App Delivery at Scale
A production-focused guide to building a multi-channel notification system. Covers event ingestion, preference routing, channel delivery, template rendering, deduplication, rate limiting per user, retry and fallback chains, and observability with TypeScript throughout.