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Cloudflare Workers Cheat Sheet

Cloudflare Workers Cheat Sheet

Back to Cloud Computing
Updated 2026-05-21
Next Topic: DigitalOcean Cloud Platform Cheat Sheet

Cloudflare Workers is a serverless edge compute platform that runs JavaScript, TypeScript, and WebAssembly directly inside Cloudflare's global network using V8 isolates β€” the same engine that powers Chrome and Node.js. Unlike traditional serverless functions that spin up containers or virtual machines per invocation, Workers share a single runtime process across thousands of isolated execution contexts, delivering sub-millisecond cold starts and dramatically lower memory overhead. The platform pairs compute with a rich ecosystem of storage and AI primitives β€” KV, R2, D1, Durable Objects, Queues, Workers AI, Vectorize β€” all accessible through in-process bindings that eliminate network hops. The key mental model to carry into the tables: Workers are stateless by default (isolates may be evicted or reused across requests), so anything requiring persistence or coordination belongs in Durable Objects, KV, D1, or Queues rather than module-level variables.

What This Cheat Sheet Covers

This topic spans 19 focused tables and 149 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Runtime Model β€” V8 Isolates vs Containers vs LambdaTable 2: Wrangler CLI β€” Core WorkflowsTable 3: wrangler.toml ConfigurationTable 4: Request / Response and Web APIsTable 5: Workers KV β€” Distributed Key-Value StoreTable 6: Durable Objects β€” Stateful CoordinationTable 7: R2 Object StorageTable 8: D1 β€” Serverless SQLite DatabaseTable 9: Queues β€” Async Message ProcessingTable 10: Workers AI β€” Inference at the EdgeTable 11: Vectorize β€” Vector DatabaseTable 12: Hyperdrive β€” Database Connection AccelerationTable 13: Routing β€” Custom Domains, Routes, and ZonesTable 14: Observability β€” Logs, Traces, and MetricsTable 15: Smart Placement and Worker PlacementTable 16: Workers for Platforms and Service BindingsTable 17: Workflows β€” Durable Multi-Step ExecutionTable 18: Pricing, Limits, and Billing ModelTable 19: Common Pitfalls and Best Practices

Table 1: Runtime Model β€” V8 Isolates vs Containers vs Lambda

Understanding the isolate model is foundational to everything else in Workers. The execution environment shapes cold-start behavior, memory limits, billing, and how you reason about global state.

TypeExampleDescription
V8 Isolate
export default { async fetch(req, env, ctx) { return new Response("hi") } }
β€’ Lightweight execution context inside the V8 engine
β€’ each isolate has its own private heap but thousands share a single OS process, paying the runtime overhead only once
Cold start time
Workers: ~0 ms; Lambda (Node.js): 200–1000 ms
Workers start in under 5 ms (typically 0 ms for warm paths) by creating an isolate inside an existing process instead of booting a container or VM.
Memory per isolate
128 MB heap limit per isolate
β€’ Each isolate is capped at 128 MB covering the JavaScript heap and WebAssembly allocations
β€’ the runtime creates a new isolate when this is exceeded
Isolate reuse
// module-level var may be shared across requests
β€’ Cloudflare may reuse or evict isolates at any time
β€’ no guarantee two requests hit the same instance β€” so global mutable state causes cross-request data leaks
Two-layer sandbox
V8 isolate boundary + Linux namespaces / seccomp
β€’ Layer 1: V8 isolate prevents memory access outside its boundary
β€’ Layer 2: OS-level process sandbox blocks all filesystem and network syscalls

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