Blog — Page 29 of 53
Browsing page 29 of 53 — 634 articles and counting.
Designing a Distributed Task Queue: Priority Scheduling, Worker Pools, and Exactly-Once Processing
How to architect a distributed task queue from scratch. Covers priority scheduling, worker pool management, exactly-once processing via idempotency, dead letter queues, backpressure, and horizontal scaling, with concrete tradeoffs between Redis, Postgres, and dedicated systems.
Designing a KYC and Identity Verification Pipeline: Document Processing, Liveness Detection, and Risk Scoring at Scale
KYC pipelines fail in predictable ways: manual review bottlenecks, inconsistent risk decisions, PII leaking through logging, and async job state that diverges from webhook status. This guide covers the full architecture of a production-grade identity verification system, from document OCR and liveness detection to risk scoring, PII encryption, and the build-vs-buy tradeoff with providers like Jumio, Onfido, and Persona.
Designing a Real-Time Geolocation System: Spatial Indexing, Proximity Queries, and Location Streaming at Scale
A deep-dive into building production-grade real-time geolocation systems covering spatial indexing with geohashes and R-trees, proximity queries, PostGIS vs Redis geospatial, WebSocket location streaming, geofencing, update storm handling, and horizontal scaling strategies.
Designing an Embedded Finance Platform: Double-Entry Ledgers, Payment Rail Orchestration, and Multi-Provider Settlement at Scale
How to architect embedded finance systems inside SaaS products, covering double-entry ledger design, payment rail selection across Stripe and Adyen, multi-currency settlement, idempotent money movement, reconciliation pipelines, and a build-vs-buy tradeoffs table for each component.
Building Embeddable Widgets for SaaS: iframes, Web Components, and Cross-Origin Communication Patterns
A practical guide to the three main approaches for building embeddable SaaS widgets: iframes, Web Components with Shadow DOM, and script-injected React. Covers security models, cross-origin auth, responsive sizing, versioning, and performance budgets.
Building Tenant-Aware Analytics Dashboards in Next.js: Data Isolation, Real-Time Aggregation, and Embedded Visualizations
Analytics in a multi-tenant SaaS app is not just charts. It is data isolation, query performance at scale, and a UI that handles per-tenant context without leaking state. Here is how to build it correctly.
Row-Level Security in Postgres for Multi-Tenant SaaS: Policies, Performance, and Migration Patterns
A practical guide to implementing RLS in Postgres for multi-tenant SaaS. Covers policy syntax, tenant isolation patterns, session variables, index strategies, testing, and migration from application-level filtering.
Building an AI-Powered Pricing Engine: Demand Forecasting, Dynamic Pricing, and Revenue Optimization for SaaS Products
A practical guide to building a production pricing engine for SaaS: feature engineering for pricing signals, time-series demand forecasting, price elasticity modeling, safe A/B testing, willingness-to-pay estimation, and the guardrails that prevent pricing disasters.
From AI Prototype to Production: The Engineering Playbook for Scaling LLM Applications
Most LLM prototypes die in staging. This guide covers the failure modes that only appear at scale, the production readiness checklist engineers skip, and the infrastructure decisions that determine whether your AI feature ships or stalls.
Securing AI-Generated Code in Production: Static Analysis, Vulnerability Scanning, and Governance Pipelines for Vibe-Coded Applications
40-62% of AI-generated code contains security vulnerabilities. This guide covers building a CI/CD security pipeline with Semgrep, secret detection, dependency scanning, runtime monitoring, and a practical governance framework for teams using Copilot, Cursor, or Claude Code.
Kubernetes Autoscaling in Production: HPA, VPA, KEDA, and Custom Metrics for Cost-Efficient Scaling
A practical guide to Kubernetes autoscaling mechanisms for production workloads. When to use HPA, VPA, and KEDA, how they interact, and the configuration decisions that determine whether you save money or cause incidents.
Platform Engineering for Startups: Internal Developer Platforms Without Enterprise Overhead
A practical guide to building an internal developer platform at startup scale. Covers the minimum viable platform, build vs buy decisions for each component, golden paths, developer self-service, when to hire a platform engineer, and a phased roadmap from seed to Series B.