Blog — Page 44 of 53
Browsing page 44 of 53 — 634 articles and counting.
Blue-Green Deployments in Practice: Zero-Risk Releases for Startup Engineering Teams
Blue-green deployments give you a clean rollback story and near-zero downtime during releases. This covers the architecture, traffic switching strategies, database migration challenges, session handling, smoke testing, and when the pattern is overkill.
Load Testing for Startups: Finding Breaking Points Before Your Users Do
Most startups skip load testing until the first traffic spike breaks production. This guide covers the three test types, tool selection, realistic k6 scripts in TypeScript, and integrating load tests as deploy gates.
Production Database Backup and Recovery: Automated Snapshots, Point-in-Time Restore, and Disaster Recovery Runbooks
Most startups discover their backup strategy is broken during the incident where they need it. This covers backup types, RPO and RTO target selection, automated backup architecture for PostgreSQL with WAL-G and managed services, point-in-time recovery mechanics, cross-region disaster recovery, and how to write and test a runbook that actually works under pressure.
Building a Code Review Culture That Ships: Fast Feedback Without Bottlenecks
Code reviews that block shipping for days, reviewers who nitpick style instead of catching bugs, teams that rubber-stamp to avoid conflict: these are symptoms of a broken process. Here is how to fix it.
Engineering Metrics That Matter: DORA, Developer Experience, and What Not to Measure
Most engineering teams measure the wrong things or measure the right things badly. A practical guide to DORA metrics, developer experience signals, and the Goodhart's Law traps waiting to wreck your team culture.
Back-Pressure in Distributed Systems: Flow Control Patterns That Prevent Cascading Overload
A production guide to back-pressure: why unbounded queues kill services, the four core flow control strategies with TypeScript implementations, back-pressure in Kafka, RabbitMQ, and SQS, HTTP-layer load shedding, reactive streams, and the observability you need to catch overload before it cascades.
Designing a Job Scheduling System: Priority Queues, Fair Scheduling, and Failure Recovery at Scale
Cron plus database polling works until it doesn't. This is a deep dive into production job scheduling: priority queues, weighted fair queuing, job lifecycle state machines, failure recovery with dead letter queues, distributed coordination with fencing tokens, and how systems like BullMQ and Temporal approach the same problems.
Designing a Subscription Billing System: Plans, Usage Metering, Proration, and Dunning
Subscription billing looks like a solved problem until you hit your first proration edge case or dunning retry storm. This guide covers the full architecture: data model for plans, subscriptions, and invoices; usage-based metering; proration logic for mid-cycle plan changes; dunning strategies for failed payments; and Stripe integration patterns in TypeScript.
Designing an Email Delivery System: Templates, Queuing, Deliverability, and Bounce Handling at Scale
A production-focused guide to architecting email delivery: template engines, queue decoupling, provider abstraction, SPF/DKIM/DMARC, bounce handling, suppression lists, and failover patterns.
State Management in React 2026: Server State, Client State, and When You Need Neither
React state has fragmented into five distinct categories. Conflating them is where complexity comes from. Here is a taxonomy, the right tools for each, and a decision framework for choosing none of them.
Server-Side Rendering vs Static Generation vs ISR: A Rendering Strategy Decision Framework
Every route in your app has different data freshness, personalization, and scale requirements. This is a practical decision framework for choosing between SSR, SSG, and ISR, covering internals, tradeoffs, and production considerations.
TypeScript Error Handling in Production: Result Types, Error Boundaries, and Graceful Degradation
try-catch gets you started but it fails at scale. This guide covers Result types, discriminated unions, React error boundaries, API error design, and observability integration for TypeScript applications that need to stay alive under real conditions.