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Cloudflare Workers is a serverless runtime for deploying JavaScript, TypeScript, Python or Rust applications across Cloudflare’s network. It can serve web pages, expose API routes, run AI inference and process background jobs without you managing servers. Your code receives an event and an env object containing bindings to data stores and other Cloudflare services.
This guide explains a practical Workers architecture, shows a minimal web API, maps the current plan costs and limits, and identifies workloads that fit—or do not fit—the runtime. Figures below come from Cloudflare documentation updated August 28–September 11, 2026; check the linked pages before committing to a budget.
What Cloudflare Workers is—and what it is not
Workers packages your application code as isolated serverless handlers. A request is routed to a Worker, the handler performs active CPU work and returns a response, and Cloudflare operates the underlying execution environment. You deploy code rather than virtual machines, operating-system packages or a continuously running process.
Cloudflare’s documented use cases include frontend applications, backend APIs, serverless AI inference, background jobs and observability. Supported ecosystem examples include React, Vue, Svelte, Next, Astro and React Router; listed languages include JavaScript, TypeScript, Python and Rust. Framework adapters can have their own requirements, so verify that an adapter supports the Worker runtime before depending on a framework feature. Cloudflare Workers overview
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Workers is not a general-purpose server with unlimited memory, arbitrary native binaries or a guaranteed always-on process. CPU, memory, subrequests and trigger-specific wall time are bounded, and associated products such as D1 or R2 have their own pricing and quotas.
A useful Workers architecture
Frontend and API in one deployment
A common full-stack arrangement serves static assets and API routes from Workers. The browser requests / and asset files, while paths such as /api/tasks execute application logic. Cloudflare’s web-app guide pairs this model with D1 for relational application data. Cloudflare web sites and web apps use case
Pick storage by access pattern
- D1: SQL data for users, records and relationships.
- KV: globally distributed key-value reads, configuration and cache-like data.
- R2: object storage for uploads, images, archives and generated files.
- Durable Objects: coordinated, strongly consistent state such as a room, document or WebSocket session.
- Queues: asynchronous work that should not block an HTTP response.
- Hyperdrive: connectivity to supported external databases.
- Workflows: durable, multi-step processes.
Do not add every service automatically. Start with the data model and request path your application needs.
Bindings are the connection layer
A binding gives a Worker a capability to use a resource through the env object. For example, a D1 binding exposes a database object and an R2 binding exposes bucket methods. The underlying credential is not placed in your source code. Documented binding types include D1, Durable Objects, Hyperdrive, KV, Queues, R2, service bindings and Workflows. Bindings documentation
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Build a minimal Worker API
The following handler responds to a health check and a JSON endpoint. Save it as your Worker entry file using the project structure created by Cloudflare’s current tooling.
export default {
async fetch(request, env, ctx) {
const url = new URL(request.url);
if (url.pathname === "/health") {
return Response.json({ ok: true });
}
if (url.pathname === "/api/greeting" && request.method === "GET") {
const name = url.searchParams.get("name") || "developer";
return Response.json({ message: `Hello, ${name}` });
}
return new Response("Not found", { status: 404 });
}
};- Create a Worker project with Cloudflare’s current Wrangler setup command and choose the JavaScript or TypeScript starter.
- Replace the generated handler with the example above.
- Run the local development command supplied by that project to test
/healthand/api/greeting?name=Sam. - Authenticate Wrangler to your Cloudflare account, then run
wrangler deploy. The command publishes the Worker and reports its URL.
For production, add authentication and input validation, return deliberate status codes, and keep secrets in encrypted environment variables or bindings rather than literals. Add logging and a request identifier so failures can be traced without exposing personal data.
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Connecting a D1 database
After creating a D1 database, configure a binding in the project configuration and name it, for example, DB. The handler can then issue parameterized SQL:
export default {
async fetch(request, env) {
if (request.method !== "GET") {
return new Response("Method not allowed", { status: 405 });
}
const result = await env.DB
.prepare("SELECT id, title FROM notes ORDER BY id DESC LIMIT ?1")
.bind(20)
.all();
return Response.json({ notes: result.results });
}
};Use migrations for schema changes, bind separate databases to development and production environments, and handle transient failures with a clear retry policy. Similar configuration patterns apply to KV, R2, Queues and Durable Objects, but each API has different consistency and failure behavior.
Automation patterns that fit Workers
Queue-based background processing
Return quickly from an HTTP request and enqueue work such as email preparation, image processing or webhook fan-out. A Queue Consumer then handles messages independently. Keep handlers idempotent: a retry must not create duplicate charges or records.
Scheduled tasks
Cron Triggers can refresh data, expire sessions or produce reports. Design jobs to checkpoint progress because scheduled invocations have a 15-minute wall-time limit.
Real-time coordination
Use a Durable Object when one logical entity needs serialized updates—for example, a collaborative room or rate limiter. Avoid putting large, unbounded datasets in object state; store durable records in D1 or R2 and keep only coordination state in the object.
AI and external APIs
A Worker can call an inference service or third-party API, normalize the response and enforce authorization at the edge. Set explicit timeouts, validate remote responses and avoid forwarding user-controlled headers blindly.
Rank #3
Plans and current pricing
Cloudflare’s Workers pricing page was updated August 28, 2026. The Workers Paid plan is separate from Cloudflare’s Free, Pro, Business and Enterprise website plans. The figures below describe Workers usage; D1, R2, KV, Queues, Hyperdrive and Workflows can add separate charges.
| Plan or allowance | Included usage | Overage or minimum |
|---|---|---|
| Workers Free | 100,000 requests per day; 10 ms CPU per invocation | Free-plan limits apply |
| Workers Standard Paid | 10 million requests per month; 30 million CPU milliseconds per month | $5 monthly minimum per account; $0.30 per additional million requests; $0.02 per additional million CPU milliseconds |
Cloudflare states that Workers pricing has no additional data-transfer or throughput charges. Estimate request count and active CPU, then model storage and data-service usage separately. A $5 minimum is not a guaranteed total bill for an application using metered services.
Runtime limits you must design around
Cloudflare’s limits page was updated September 5, 2026. CPU time is active execution; waiting for network I/O does not consume CPU time. Wall time is elapsed time, including waits.
| Limit | Free | Paid or trigger-specific value |
|---|---|---|
| Memory | 128 MB | 128 MB |
| HTTP request CPU | 10 ms | Up to five minutes; 30 seconds default |
| Subrequests per invocation | 50 | 10,000 by default |
| Cron, Queue Consumer and Durable Object Alarm wall time | 15 minutes | |
| HTTP wall time | No hard limit while the client remains connected | |
“No hard limit” for an HTTP request does not remove CPU limits or client and intermediary timeouts. For long work, acknowledge the request and continue through a queue or workflow. Batch external calls, stream large responses, and avoid loading an entire file into memory.
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- Globally reachable APIs with short request paths.
- Static or server-rendered frontends combined with edge authorization.
- Webhook validation, request transformation and cache-aware routing.
- Event-driven jobs that can be retried or checkpointed.
- Applications whose state fits D1, KV, R2 or Durable Objects.
When to choose another runtime or add a service
- Processes requiring large native dependencies, privileged operating-system access or unrestricted memory.
- Long CPU-bound computation that cannot be divided into bounded jobs.
- Workloads requiring a single mutable in-memory process across all requests.
- Applications that depend on database drivers or framework APIs unavailable in the Worker runtime.
You can still place Workers in front of such systems for routing, authentication or caching while running the heavy component elsewhere.
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Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Troubleshooting checklist
“CPU time limit exceeded”
Profile synchronous loops and JSON processing, reduce payload size, cache repeated work, or move computation to a queue. Paid status does not make an unbounded loop safe.
“Too many subrequests”
Count fetches, redirects and service calls. Batch requests, cache stable responses and raise the design issue before relying on the Paid default of 10,000.
Binding is undefined
Check that the binding name in configuration exactly matches env.BINDING_NAME, deploy the same environment you edited, and confirm the resource exists in that account.
Requests work locally but fail after deployment
Compare environment variables, routes, authentication headers and production database bindings. Log status codes and sanitized error identifiers rather than secrets.
Scheduled work stops part-way through
Respect the 15-minute wall-time limit, persist a cursor, and resume in another invocation or queue message.
Unexpected bill
Separate Worker requests and CPU from associated service meters. Compare monthly usage with the pricing page and remember that the Paid account minimum applies even at low usage.
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FAQ
Can a Worker be a backend API?
Yes. A Worker can authenticate requests, query bound services, call external APIs and return JSON. Your API design must still account for runtime limits and service-specific quotas.
Does waiting on a database or fetch consume CPU?
Cloudflare distinguishes active CPU from elapsed duration; waiting on network requests does not count as CPU time, although wall-time and client timeouts still matter.
Are Workers and Cloudflare’s website plans the same purchase?
No. Cloudflare documents the Workers Paid plan as separate from Free, Pro, Business and Enterprise plans for Cloudflare websites.
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No. Use them when a piece of state requires coordinated, serialized access. D1, KV or R2 may be more appropriate for ordinary application data.
The Bottom Line
Workers is strongest for globally distributed, event-driven web applications whose requests and state can be divided into bounded operations. Start with the Free allowance for a prototype, map every binding and trigger, and price CPU, requests and attached services separately before moving production traffic.
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