Checklists

Cloudflare Workers implementation checklist

This checklist ensures production readiness for Cloudflare Workers-based systems. Verify each item to address runtime constraints, security, performance, and AI workflow reliability.

Progress0 / 25 complete (0%)

Runtime Environment Setup

0/5

  • Validate Node.js API compatibility

    critical

    Check all dependencies against Cloudflare Workers' runtime limitations using https://github.com/cloudflare/workers-sdk

  • Configure Wrangler profile

    critical

    Ensure wrangler.toml includes production routes, environment variables, and build settings for edge deployment

  • Test with Miniflare

    recommended

    Run local tests with miniflare --compatibility-date and verify against production runtime version

  • Set up KV namespace bindings

    critical

    Confirm all KV namespaces are explicitly declared in wrangler.toml with correct environment mappings

  • Validate Durable Object stubs

    recommended

    Ensure Durable Object class definitions match production bindings and are versioned correctly

Security and Secrets Management

0/5

  • Rotate secrets via KV

    critical

    Verify all credentials are stored in KV and accessed through environment variables with restricted permissions

  • Implement CORS policies

    recommended

    Configure fetch() requests with explicit CORS headers matching origin requirements

  • Validate JWT validation

    recommended

    Test JWT verification against configured public keys with expiration and audience checks

  • Secure AI Gateway access

    critical

    Ensure AI Gateway integrations use API tokens with least-privilege roles

  • Test secret rotation workflow

    optional

    Validate automated secret rotation process with KV versioning and zero-downtime deployment

Performance Optimization

0/5

  • Measure cold start latency

    recommended

    Test Worker initialization time with https://developers.cloudflare.com/workers/platform/limits/#cold-starts

  • Optimize R2/D1 usage

    recommended

    Verify database queries use prepared statements and R2 objects are cached appropriately

  • Implement edge caching

    recommended

    Configure Cache API rules for static assets and API responses with appropriate TTLs

  • Profile Workers AI latency

    critical

    Measure inference time with Workers AI and compare against baseline performance metrics

  • Test queue backpressure

    recommended

    Validate queue processing handles rate limiting and retry policies for high-throughput scenarios

Observability and Incident Response

0/5

  • Instrument logging

    recommended

    Ensure all critical paths include console.log() with structured JSON format for centralized logging

  • Set up metrics collection

    recommended

    Configure metrics endpoints for request rates, latency, and error counts using https://developers.cloudflare.com/analytics/metrics/

  • Validate error tracking

    critical

    Test error handling for uncaught exceptions and verify error logs are captured in Cloudflare Logs

  • Configure alerting rules

    recommended

    Set up Cloudflare Alerts for critical thresholds like 5xx rates and queue backlogs

  • Test disaster recovery

    optional

    Validate rollback procedures for Workers versions and KV data recovery processes

AI Workflow Reliability

0/5

  • Validate model routing

    critical

    Verify Workers AI model selection logic handles versioning and fallback strategies

  • Test async processing

    critical

    Confirm queue-based AI inference pipelines handle retries and message acknowledgments

  • Monitor token usage

    recommended

    Implement rate limiting for AI API calls with token budget tracking

  • Validate structured outputs

    critical

    Test JSON schema validation for Workers AI model outputs with error handling

  • Audit model security

    recommended

    Verify AI Gateway configurations prevent prompt injection and content leakage