Node.js

Absolutely. Node.js 24 LTS is supported through April 2028, used by Netflix, LinkedIn, PayPal, Uber, and hundreds of unicorn startups. The runtime is battle-tested at massive scale. The real question is whether your specific workload suits Node.js's I/O-first model—which it does for most modern web API and real-time use cases.

Node.js 24 brings native TypeScript type stripping (run .ts files directly), a 30% faster V8 engine, npm 11 with 65% faster installs, stable Permission Model for runtime sandboxing, built-in WebSocket client, and experimental network inspection. The TypeScript support alone eliminates several common tooling pain points.

Node.js is single-threaded by default—CPU-heavy work blocks the event loop and freezes all concurrent requests. The solution is Worker Threads (stable since Node.js 12) for in-process parallelism, or offloading to dedicated services (Python for ML, Go for compute). We audit every Node.js codebase for synchronous bottlenecks before production deploy.

Fastify handles 90K+ req/sec vs Express's 60K—meaningful for high-throughput APIs. NestJS adds Angular-style structure (decorators, DI, modules) that large teams love for consistency. Express is still valid where ecosystem breadth and familiarity matter more than raw speed. We pick based on team size, performance requirements, and how structured you need the codebase to be.

Cost depends on project scope—API complexity, real-time requirements, scaling targets, integrations, and timeline. Rather than a generic range that won't match your situation, share your requirements with us. We'll assess the architecture, estimate the engineering effort accurately, and give you a detailed breakdown of exactly what you're paying for.

Yes—this is one of Node.js's design strengths. A single Node.js process can maintain 100,000 WebSocket connections on 2-4GB of RAM. The event loop model avoids the per-thread memory overhead that limits traditional servers. We've deployed Socket.io backends handling this scale with Redis adapter for horizontal scaling across multiple instances.

Better than ever. Node.js 24 runs TypeScript files natively via type stripping—no compilation, no ts-node. For production where you want full type checking before deploy, we configure esbuild or tsc with incremental builds. NestJS is TypeScript-first out of the box. Zod validates runtime types at API boundaries. The TypeScript + Node.js combination in 2026 is extremely mature.

PostgreSQL with Prisma ORM is our default recommendation—type-safe queries, automatic migrations, and excellent TypeScript integration. For document-heavy workloads, MongoDB with Mongoose or the native driver. Redis for caching, sessions, and pub/sub. For analytics, ClickHouse or BigQuery. The database choice should be driven by your data model, not Node.js preferences.

Memory leaks in Node.js typically come from EventEmitter subscriptions that aren't cleaned up, caches without TTLs, or closures holding references to large objects. We use clinic.js and --heap-prof in staging, set --max-old-space-size in production containers, and write automated leak tests for long-running processes. Code review specifically checks EventEmitter usage.

We offer flexible support: LTS version upgrades (Node.js major versions every two years), dependency security patches, performance tuning as traffic grows, and on-call debugging for production incidents. We also provide Node.js training for your team if you're taking over a codebase we've built—documentation, architecture walkthroughs, and hands-on pairing sessions.