Serverless Framework simplifies deploying and managing serverless functions across multiple cloud providers with declarative configuration and automated infrastructure management. As the creator of CoreUI, a widely used open-source UI library, I’ve deployed serverless Node.js applications for scalable backend services throughout my 12 years of development experience since 2014. The most efficient approach is defining functions and resources in serverless.yml configuration file and using Serverless CLI for deployment automation. This method provides infrastructure as code, multi-cloud support, and local development tools for testing functions before deployment.

Azure Functions provides serverless compute service for running Node.js code triggered by HTTP requests, timers, or Azure service events without infrastructure management. As the creator of CoreUI, a widely used open-source UI library, I’ve deployed serverless Node.js applications to Azure throughout my 11 years of backend development. The most efficient approach is using Azure Functions Core Tools for local development and Azure CLI or VS Code extension for deployment. This method enables event-driven serverless architecture, seamless Azure service integration, and consumption-based pricing with automatic scaling.

Google Cloud Functions provides serverless compute platform for running Node.js code in response to HTTP requests or cloud events without managing servers. As the creator of CoreUI, a widely used open-source UI library, I’ve deployed serverless Node.js functions to Google Cloud throughout my 11 years of backend development. The most straightforward approach is using Functions Framework locally for development and gcloud CLI for deployment to Google Cloud. This method enables rapid serverless deployment, automatic scaling based on traffic, and cost-effective pay-per-invocation billing model.

Deploying Node.js applications to AWS Lambda provides serverless compute with automatic scaling, pay-per-execution pricing, and integration with AWS services. With over 12 years of Node.js experience since 2014 and as the creator of CoreUI, I’ve deployed numerous Lambda functions for production services. AWS Lambda runs Node.js code in response to events from API Gateway, S3, DynamoDB, and other triggers with zero server management. This approach offers massive scalability, cost efficiency for variable workloads, and integration with the broader AWS ecosystem.

Deploying Node.js applications to Netlify Functions provides serverless API endpoints with automatic deployment, Git integration, and edge distribution. With over 12 years of Node.js experience since 2014 and as the creator of CoreUI, I’ve deployed numerous serverless functions to Netlify. Netlify Functions run on AWS Lambda providing scalable backend logic without server management with automatic HTTPS and custom domains. This approach works perfectly for API routes, form handlers, webhooks, and backend services with instant deployment on Git push.

Deploying Node.js applications to Vercel provides serverless function deployment with automatic builds, edge network, and Git integration. With over 12 years of Node.js experience since 2014 and as the creator of CoreUI, I’ve deployed numerous Node.js APIs to Vercel. Vercel excels at serverless Node.js functions with automatic scaling, zero configuration deployments, and global edge network for low latency. This approach works perfectly for API routes, webhooks, and serverless backends with instant deployments on every push.

Deploying Node.js applications to Heroku provides easy Git-based deployment with automatic builds, environment management, and scalability. With over 12 years of Node.js experience since 2014 and as the creator of CoreUI, I’ve deployed numerous Node.js services to Heroku. Heroku’s platform-as-a-service handles infrastructure management, allowing developers to focus on application code with simple deployment workflow. This approach offers quick deployment with minimal configuration and automatic SSL, domain management, and monitoring.

Configuring CI/CD for React with GitHub Actions automates testing, building, and deployment whenever code changes are pushed. As the creator of CoreUI with over 12 years of React experience since 2014, I’ve configured GitHub Actions for numerous production React applications. GitHub Actions provides built-in CI/CD with YAML workflows that run tests, create optimized builds, and deploy to various hosting platforms. This approach ensures code quality, catches bugs early, and enables automated deployments with every commit.

Configuring CI/CD for React with GitLab CI automates testing, building, and deployment integrated with GitLab repositories. With over 12 years of React development experience since 2014 and as the creator of CoreUI, I’ve configured GitLab CI for numerous projects. GitLab CI provides powerful pipeline configuration with YAML files that run stages for test, build, and deploy automatically. This approach integrates CI/CD directly into GitLab with no external services required.

Using GitLab CI for Node.js applications automates testing, building, and deployment with integrated CI/CD pipelines. As the creator of CoreUI with over 12 years of Node.js experience since 2014, I’ve configured GitLab CI for numerous backend services. GitLab CI provides YAML-based pipeline configuration with stages, jobs, and deployment environments built into GitLab. This approach streamlines development workflow with automated quality checks and deployments.