Ideas into practice.
Practical perspectives on hosting, deployment and building with AI.
Hosting an AI API application on a VPS: map the web app and external service
Prepare an AI-enabled web application by separating API credentials, request handling, queues, data storage and local-model requirements.
Background workers and scheduled jobs: what your VPS deployment needs
Prepare queue workers and scheduled tasks with explicit execution ownership, overlap rules, retry behavior and useful operational evidence.
Does your application database need a public port? Map the access path first
Identify local, private-network and remote administrative database access before configuring listeners, firewall rules and accounts.
Production environment variables: prepare names, ownership and release checks
Manage application configuration by separating key names from secrets, checking build-time versus runtime use, and verifying the deployed process.
Managed VPS: prepare your application for deployment with technical support
Turn an application into a clear deployment brief: runtime, database, domain, access and verification. Learn how to work with VPS technical support.
Node.js stops when the terminal closes: plan a production process
Move from a manual Node.js start command to an operating-system-appropriate process setup with logs, restart checks and a clear release path.
A runnable Node.js health-check example for your first VPS deployment
Download a dependency-free Node.js example and verify local responses before configuring a proxy, domain and production process.
VPS deployment cost: what to include beyond the server price
Prepare a useful VPS deployment estimate by separating server resources, software, external services, migration and ongoing responsibilities.
Move a VPS application with live data: plan the final write and cutover
Prepare application, database and uploaded-file migration with a defined write window, final synchronisation and rollback boundary.