Blog — Page 25 of 53
Browsing page 25 of 53 — 634 articles and counting.
Observability for Small Teams: What to Monitor When You Can't Afford a Platform Team
A practical guide to setting up logs, metrics, and traces for teams of 1-5 engineers. Covers what actually matters at small scale, tool recommendations with free tiers, SLO-based alerting that avoids alert fatigue, and a phased rollout plan.
Secrets Management in Production: HashiCorp Vault, AWS Secrets Manager, and Secure Injection Patterns for Kubernetes and Serverless
A deep dive into production secrets management. Covers why environment variables break at scale, HashiCorp Vault architecture, AWS Secrets Manager, a direct comparison, and concrete injection patterns for Kubernetes (CSI driver, init containers, sidecars) and serverless (Lambda, Cloudflare Workers). Includes rotation and emergency revocation.
The Security Champions Model: Embedding Security Expertise in Engineering Teams Without Dedicated AppSec Headcount
How to build a security champions program for growing engineering teams that cannot afford dedicated AppSec engineers. Covers selection, training curriculum, SDLC integration, metrics, and the AI-generated code verification angle.
Designing a Database Connection Pool: Connection Lifecycle, Pool Sizing, and Failover Strategies at Scale
A deep dive into how database connection pools work under the hood: connection lifecycle management, pool sizing formulas, common failure modes like connection leaks and thundering herd, and failover strategies for multi-region deployments.
Designing a Distributed File System: Metadata Servers, Chunk Replication, and Consistency Guarantees at Scale
A deep-dive into how distributed file systems like GFS and HDFS work under the hood: metadata server architecture, chunk replication strategies, lease-based mutation ordering, and the real tradeoffs between consistency and availability.
Designing a Real-Time Ad Serving System: Auction Mechanics, Targeting, and Budget Pacing at Scale
A deep-dive into building an ad serving platform covering RTB auction flow, second-price vs first-price auctions, user targeting, budget pacing algorithms, latency budgets under 100ms, and infrastructure for millions of bid requests per second.
Designing a Ride-Sharing Backend: Real-Time Matching, ETA Prediction, and Dynamic Pricing at Scale
A deep-dive into the backend architecture of a ride-sharing platform covering geospatial driver-rider matching with geohashing, graph-based ETA prediction with real-time traffic adjustment, surge pricing mechanics, and the distributed systems challenges behind high-throughput location streaming and state consistency.
Building a Headless CMS Integration Layer: Content Modeling, Webhook-Driven Rebuilds, and Preview Workflows in Next.js and Astro
A practical guide to integrating a headless CMS with Next.js and Astro, covering content modeling, webhook-driven incremental rebuilds, draft preview modes, caching strategies, and provider migration patterns.
Building Type-Safe APIs with Hono and TypeScript: Routing, Validation, and Middleware on the Edge
How to build production-grade APIs using Hono with TypeScript. Covers type-safe routing, Zod-based validation middleware, error handling patterns, and deployment to Cloudflare Workers.
Server-Sent Events in Production: Real-Time Dashboards, Event Streaming, and Scaling Patterns Beyond WebSockets
A production-focused guide to SSE: protocol mechanics, Node.js/Hono server implementation, EventSource reconnection handling, Redis fan-out for horizontal scaling, backpressure, proxy timeouts, and a decision framework for SSE vs WebSockets.
Building a RAG Pipeline for Code Search: Repository Indexing, Semantic Retrieval, and Context Assembly for AI Development Tools
Code search is not document search. This guide covers the full pipeline for RAG over codebases: AST-aware chunking, code embedding model selection, vector store indexing with metadata filters, re-ranking, context window assembly, and incremental indexing on git push.
Building a Semantic Search Engine: Embedding Pipelines, Approximate Nearest Neighbors, and Relevance Tuning in Production
A practical engineering guide to building a production semantic search system, covering embedding model selection, batched inference pipelines, ANN index types, hybrid BM25 scoring, re-ranking, and latency budgets.