Edge Deployment implementation checklist

Verify that no restricted Node.js core modules such as 'fs', 'net', or 'os' are imported in the production bundle.

Run a build-time check to ensure all third-party npm packages are compatible with V8 isolates and do not rely on native C++ addons.

Ensure code uses web-standard APIs like 'Fetch', 'Request', and 'Response' instead of platform-specific HTTP implementations.

Identify and remove heavy polyfills for 'Buffer' or 'process' to keep the worker script size within platform limits.

Confirm that any dynamic imports are supported by the target edge runtime and do not exceed execution time limits during resolution.

Replace standard TCP database drivers with HTTP-based drivers or connection pools like Prisma Accelerate or Upstash Redis.

Configure a global connection pooler to prevent 'too many connections' errors during high-concurrency edge execution.

Set the execution region or database replica location to minimize the round-trip time between the edge function and the data source.

Enforce strict limits on database query result sizes to prevent exceeding the edge function's memory heap limit.

Verify that application logic accounts for eventual consistency if using distributed stores like Cloudflare KV.

Profile the function to ensure logic completes within the 10ms-50ms CPU time limit typical for standard edge tiers.

Verify the final compressed worker script is under the platform's limit (e.g., 1MB for Cloudflare Workers Free, 10MB for Workers Unbound).

Monitor peak memory usage during request processing to ensure it remains below the 128MB or 256MB runtime threshold.

Minimize top-level code execution and heavy global initializations to reduce startup latency for new isolates.

Check build artifacts to ensure unused code from libraries is being correctly removed by the bundler.

Move all sensitive credentials from .env files to the platform's encrypted secret store (e.g., 'wrangler secret put').

Implement an explicit Cross-Origin Resource Sharing policy within the edge function to restrict access to authorized domains.

Configure platform-level rate limiting rules to protect edge endpoints from brute force and DDoS attacks.

Validate all incoming request bodies and headers before performing expensive operations or database queries.

Automatically append security headers like HSTS, X-Content-Type-Options, and CSP at the edge response layer.

Implement structured logging that can be piped to external drains like Axiom, Datadog, or Cloudflare Logpush.

Integrate an edge-compatible SDK (e.g., Sentry for Workers) to capture unhandled exceptions and stack traces.

Propagate trace IDs (e.g., CF-Ray or custom headers) through all downstream service calls for distributed tracing.

Expose a lightweight /health endpoint that verifies connectivity to critical upstream dependencies.

Define fallback logic at the edge to serve user-friendly error pages when upstream origins are unavailable.

Run the full test suite against a local simulator (e.g., Miniflare) to catch runtime-specific errors before deployment.

Verify changes in a staging or preview environment that uses the exact same resource limits as production.

Test the platform's rollback command to ensure service can be restored within seconds if a deployment fails.

Audit Cache-Control headers to ensure sensitive data is not being cached at the edge POPs.

Ensure API endpoints are versioned to prevent breaking changes when deploying new worker logic.