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Deployment

Deployment Checklist​

Observability Checklist​

Logging & Tracing
Implement detailed logging for critical operations, particularly around data handling, user interactions, and API requests. Incorporate tracing to capture function calls, track the path of requests, and measure response times.

Error Tracking
Set up error monitoring tools (e.g., Sentry) to capture and report errors. This allows for the quick identification and resolution of issues that occur after the extension is deployed.

Performance Monitoring
Utilize performance monitoring tools such as Prometheus or Grafana to track key metrics like system load, response times, and potential performance bottlenecks. This ensures the extension maintains optimal performance under varying conditions.

Health Checks
Implement automated health checks to regularly verify that all instances of the extension are running smoothly and are ready to handle incoming traffic.

Performance Checklist​

Automated Builds
Set up CI/CD pipelines to automate the build and deployment process. This helps minimize human errors and ensures consistency across environments.

Asset Optimization
Optimize assets such as images, CSS, and JavaScript to reduce their size for faster loading times in production.

Caching Strategy
Implement an effective caching strategy for frequently requested data, such as static assets or API responses, to reduce server load and improve response times.

Safety Checklist​

Backup Strategy and Rollback Plan
Before deploying any updates, ensure that critical data is backed up to prevent data loss. Additionally, define a rollback plan that allows you to quickly revert to a previous stable version in case any issues arise during or after deployment.

Dependency Audit
Regularly audit all third-party dependencies to ensure they are up-to-date and free of known vulnerabilities.

Environment Variables
Manage all sensitive information, such as API keys, secrets, and credentials, through environment variables stored in a .env file. This approach keeps sensitive data out of the codebase, ensuring better security and easier configuration across different environments.

Deployment Methods​

  • Vercel: Ideal for deploying frontend-heavy apps, particularly those built with Next.js.
  • AWS Lambda: Executes code at scale, ideal for event-driven backends. A scalable compute service that runs code in response to events.
  • GCP Cloud Functions: Google’s serverless option for handling event-driven tasks. No server management is required.
  • Netlify: Great for deploying static websites with backend integrations.

Low-Code/No-Code Solutions​

  • Boltic: Workflow-based, easy for non-developers to build and deploy. A workflow-based platform that simplifies building and deploying applications for non-developers.
  • Bubble: Fully visual development for web apps, popular for prototyping. A fully visual development platform for building web apps. Popular for prototyping.
  • Appwrite: Open-source backend for handling auth, database, and storage. An open-source backend that simplifies tasks like authentication, database management, and file storage. Great for developers who want more control without managing the full infrastructure.
  • Airtable: Database-centered app builder, popular for collaborative tools.

Server-Based Solutions​

  • AWS EC2: A versatile and widely-used option offering scalable virtual machines (VMs).
  • GCP Compute Engine: Google’s scalable VM solution, great for projects needing custom configurations and seamless integration with other Google Cloud services.
  • DigitalOcean: A cost-effective and simple-to-setup solution, perfect for small to medium-sized applications looking for an affordable hosting option.
  • Azure VMs: Ideal for enterprises, especially when integrated with other Microsoft tools.

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