Now, you simply define the directory where your assets are built, and we handle the rest. Check out the examples for what this looks like in Terraform configuration.
# This tracks the existence of your Worker, so that you# can upload code and assets separately from tracking Worker state.resource "cloudflare_worker" "my_app" { account_id = var.account_id name = "my-app"}resource "cloudflare_worker_version" "my_app_version" { account_id = var.account_id worker_id = cloudflare_worker.my_app.id # Just point to your assets directory - that's it! assets = { directory = "./dist/static" } modules = [{ name = "index.js" content_file = "./dist/worker/index.js" content_type = "application/javascript+module" }]}resource "cloudflare_workers_deployment" "my_app_deployment" { account_id = var.account_id script_name = cloudflare_worker.my_app.name strategy = "percentage" versions = [{ version_id = cloudflare_worker_version.my_app_version.id percentage = 100 }]}
What's changed
Under the hood, the Cloudflare Terraform provider now handles the same logic that Wrangler uses for static asset uploads. This includes scanning your assets directory, computing hashes for each file, generating a manifest with file metadata, and calling the Cloudflare API to upload any missing files in chunks. We support large directories with parallel uploads and chunking, and when the asset manifest hash changes, we detect what's changed and trigger an upload for only those changed files.
You can now create and manage Workflows using Terraform, now supported in the Cloudflare Terraform provider v5.11.0 ↗︎. Workflows allow you to build durable, multi-step applications -- without needing to worry about retrying failed tasks or managing infrastructure.
Each of your Workers now has a new overview page in the Cloudflare dashboard.
The goal is to make it easier to understand your Worker without digging through multiple tabs. Think of it as a new home base, a place to get a high-level overview on what's going on.
It's the first place you land when you open a Worker in the dashboard, and it gives you an immediate view of what’s going on. You can see requests, errors, and CPU time at a glance. You can view and add bindings, and see recent versions of your app, including who published them.
Navigation is also simpler, with visually distinct tabs at the top of the page. At the bottom right you'll find guided steps for what to do next that are based on the state of your Worker, such as adding a binding or connecting a custom domain.
We plan to add more here over time. Better insights, more controls, and ways to manage your Worker from one page.
If you have feedback or suggestions for the new Overview page or your Cloudflare Workers experience in general, we'd love to hear from you. Join the Cloudflare developer community on Discord ↗︎.
Access allows you to limit access to your Workers to specific users or groups. You can limit access to yourself, your teammates, your organization, or anyone else you specify in your Access policy.
To enable Cloudflare Access:
In the Cloudflare dashboard, go to the Workers & Pages page.
For workers.dev or Preview URLs, click Enable Cloudflare Access.
Optionally, to configure the Access application, click Manage Cloudflare Access. There, you can change the email addresses you want to authorize. View Access policies to learn about configuring alternate rules.
To fully secure your application, it is important that you validate the JWT that Cloudflare Access adds to the Cf-Access-Jwt-Assertion header on the incoming request.
Both of these appear in the modal that appears when you enable Cloudflare Access.
You can set these variables by adding them to your Worker's Wrangler configuration file, or via the Cloudflare dashboard under Workers & Pages > your-worker > Settings > Environment Variables.
You can now perform more powerful queries directly in Workers Analytics Engine ↗︎ with a major expansion of our SQL function library.
Workers Analytics Engine allows you to ingest and store high-cardinality data at scale (such as custom analytics) and query your data through a simple SQL API.
Today, we've expanded Workers Analytics Engine's SQL capabilities with several new functions:
toUInt8() - Converts any numeric expression, or expression resulting in a string representation of a decimal, into an unsigned 8 bit integer
Ready to get started?
Whether you're building usage-based billing systems, customer analytics dashboards, or other custom analytics, these functions let you get the most out of your data. Get started with Workers Analytics Engine and explore all available functions in our SQL reference documentation.
The ctx.exports API contains automatically-configured bindings corresponding to your Worker's top-level exports. For each top-level export extending WorkerEntrypoint, ctx.exports will contain a Service Binding by the same name, and for each export extending DurableObject (and for which storage has been configured via a migration), ctx.exports will contain a Durable Object namespace binding. This means you no longer have to configure these bindings explicitly in wrangler.jsonc/wrangler.toml.
Example:
import { WorkerEntrypoint } from "cloudflare:workers";export class Greeter extends WorkerEntrypoint { greet(name) { return `Hello, ${name}!`; }}export default { async fetch(request, env, ctx) { let greeting = await ctx.exports.Greeter.greet("World") return new Response(greeting); }}
You can run multiple Workers in a single dev command by passing multiple config files to wrangler dev:
wrangler dev --config ./web/wrangler.jsonc --config ./api/wrangler.jsonc
Previously, if you ran the command above and then also ran wrangler dev for a different Worker, the Workers running in separate wrangler dev sessions could not communicate with each other. This prevented you from being able to use Service Bindings ↗︎ and Tail Workers ↗︎ in local development, when running separate wrangler dev sessions.
Now, the following works as expected:
# Terminal 1: Run your application that includes both Web and API workerswrangler dev --config ./web/wrangler.jsonc --config ./api/wrangler.jsonc# Terminal 2: Run your auth worker separatelywrangler dev --config ./auth/wrangler.jsonc
These Workers can now communicate with each other across separate dev commands, regardless of your development setup.
./api/src/index.tsjs
export default { async fetch(request, env) { // This service binding call now works across dev commands const authorized = await env.AUTH.isAuthorized(request); if (!authorized) { return new Response("Unauthorized", { status: 401 }); } return new Response("Hello from API Worker!", { status: 200 }); },};
The ratelimit binding is now stable and recommended for all production workloads. Existing deployments using the unsafe binding will continue to function to allow for a smooth transition.
In workers-rs ↗︎, Rust panics were previously non-recoverable. A panic would put the Worker into an invalid state, and further function calls could result in memory overflows or exceptions.
Now, when a panic occurs, in-flight requests will throw 500 errors, but the Worker will automatically and instantly recover for future requests.
This ensures more reliable deployments. Automatic panic recovery is enabled for all new workers-rs deployments as of version 0.6.5, with no configuration required.
Fixing Rust Panics with Wasm Bindgen
Rust Workers are built with Wasm Bindgen, which treats panics as non-recoverable. After a panic, the entire Wasm application is considered to be in an invalid state.
This function clears all internal state related to the Wasm VM, and updates all function bindings in place to reference the new WebAssembly instance.
One other necessary change here was associating Wasm-created JS objects with an instance identity. If a JS object created by an earlier instance is then passed into a new instance later on, a new "stale object" error is specially thrown when using this feature.
Layered Solution
Building on this new Wasm Bindgen feature, layered with our new default panic handler, we also added a proxy wrapper to ensure all top-level exported class instantiations (such as for Rust Durable Objects) are tracked and fully reinitialized when resetting the Wasm instance. This was necessary because
the workerd runtime will instantiate exported classes, which would then be associated with the Wasm instance.
This approach now provides full panic recovery for Rust Workers on subsequent requests.
Of course, we never want panics, but when they do happen they are isolated and can be investigated further from the error logs - avoiding broader service disruption.
WebAssembly Exception Handling
In the future, full support for recoverable panics could be implemented without needing reinitialization at all, utilizing the WebAssembly Exception Handling ↗︎
proposal, part of the newly announced WebAssembly 3.0 ↗︎ specification. This would allow unwinding panics as normal JS errors, and concurrent requests would no longer fail.
You can now route private traffic to Cloudflare Tunnel based on a hostname or domain, moving beyond the limitations of IP-based routing. This new capability is free for all Cloudflare One customers.
Previously, Tunnel routes could only be defined by IP address or CIDR range. This created a challenge for modern applications with dynamic or ephemeral IP addresses, often forcing administrators to maintain complex and brittle IP lists.
What’s new:
Hostname & Domain Routing: Create routes for individual hostnames (e.g., payroll.acme.local) or entire domains (e.g., *.acme.local) and direct their traffic to a specific Tunnel.
Simplified Zero Trust Policies: Build resilient policies in Cloudflare Access and Gateway using stable hostnames, making it dramatically easier to apply per-resource authorization for your private applications.
Precise Egress Control: Route traffic for public hostnames (e.g., bank.example.com) through a specific Tunnel to enforce a dedicated source IP, solving the IP allowlist problem for third-party services.
No More IP Lists: This feature makes the workaround of maintaining dynamic IP Lists for Tunnel connections obsolete.
We recently increased the available disk space from 8 GB to 20 GB for all plans. Building on that improvement, we’re now doubling the CPU power available for paid plans — from 2 vCPU to 4 vCPU.
These changes continue our focus on making Workers Builds faster and more reliable.
Metric
Free Plan
Paid Plans
CPU
2 vCPU
4 vCPU
Performance Improvements
Fast build times: Even single-threaded workloads benefit from having more vCPUs
2x faster multi-threaded builds: Tools like esbuild ↗︎ and webpack ↗︎ can now utilize additional cores, delivering near-linear performance scaling
All other build limits — including memory, build minutes, and timeout remain unchanged.
To prevent the accidental exposure of applications, we've updated how Worker preview URLs (<PREVIEW>-<WORKER_NAME>.<SUBDOMAIN>.workers.dev) are handled. We made this change to ensure preview URLs are only active when intentionally configured, improving the default security posture of your Workers.
One-Time Update for Workers with workers.dev Disabled
We performed a one-time update to disable preview URLs for existing Workers where the workers.dev subdomain was also disabled.
Because preview URLs were historically enabled by default, users who had intentionally disabled their workers.dev route may not have realized their Worker was still accessible at a separate preview URL. This update was performed to ensure that using a preview URL is always an intentional, opt-in choice.
If your Worker was affected, its preview URL (<PREVIEW>-<WORKER_NAME>.<SUBDOMAIN>.workers.dev) will now direct to an informational page explaining this change.
How to Re-enable Your Preview URL
If your preview URL was disabled, you can re-enable it via the Cloudflare dashboard by navigating to your Worker's Settings page and toggling on the Preview URL.
Alternatively, you can use Wrangler by adding the preview_urls = true setting to your Wrangler file and redeploying the Worker.
{ "preview_urls": true}
preview_urls = true
Note: You can set preview_urls = true with any Wrangler version that supports the preview URL flag (v3.91.0+). However, we recommend updating to v4.34.0 or newer, as this version defaults preview_urls to false, ensuring preview URLs are always enabled by explicit choice.
Three months ago we announced the public beta of remote bindings for local development. Now, we're excited to say that it's available for everyone in Wrangler, Vite, and Vitest without using an experimental flag!
With remote bindings, you can now connect to deployed resources like R2 buckets and D1 databases while running Worker code on your local machine. This means you can test your local code changes against real data and services, without the overhead of deploying for each iteration.
Example configuration
To enable remote bindings, add "remote" : true to each binding that you want to rely on a remote resource running on Cloudflare:
{ "name": "my-worker", // Set this to today's date "compatibility_date": "2026-10-11", "r2_buckets": [ { "bucket_name": "screenshots-bucket", "binding": "screenshots_bucket", "remote": true, }, ],}
name = "my-worker"# Set this to today's datecompatibility_date = "2026-10-11"[[r2_buckets]]bucket_name = "screenshots-bucket"binding = "screenshots_bucket"remote = true
When remote bindings are configured, your Worker still executes locally, but all binding calls are proxied to the deployed resource that runs on Cloudflare's network.
We've updated our "Built with Cloudflare" button to make it easier to share that you're building on Cloudflare with the world. Embed it in your project's README, blog post, or wherever you want to let people know.
Deploying static site to Workers is now easier. When you run wrangler deploy [directory] or wrangler deploy --assets [directory] without an existing configuration file, Wrangler CLI now guides you through the deployment process with interactive prompts.
Before and after
Before: Required remembering multiple flags and parameters
After: Simple directory deployment with guided setup
wrangler deploy dist# Interactive prompts handle the rest as shown in the example flow below
What's new
Interactive prompts for missing configuration:
Wrangler detects when you're trying to deploy a directory of static assets
Prompts you to confirm the deployment type
Asks for a project name (with smart defaults)
Automatically sets the compatibility date to today
Automatic configuration generation:
Creates a wrangler.jsonc file with your deployment settings
Stores your choices for future deployments
Eliminates the need to remember complex command-line flags
Example workflow
# Deploy your built static sitewrangler deploy dist# Wrangler will prompt:✔ It looks like you are trying to deploy a directory of static assets only. Is this correct? … yes✔ What do you want to name your project? … my-astro-site# Automatically generates a wrangler.jsonc file and adds it to your project:{ "name": "my-astro-site", "compatibility_date": "2025-09-09", "assets": { "directory": "dist" }}# Next time you run wrangler deploy, this will use the configuration in your newly generated wrangler.jsonc filewrangler deploy
Requirements
You must use Wrangler version 4.24.4 or later in order to use this feature
You can now upload up to 100,000 static assets per Worker version
Paid and Workers for Platforms users can now upload up to 100,000 static assets per Worker version, a 5x increase from the previous limit of 20,000.
Customers on the free plan still have the same limit as before — 20,000 static assets per version of your Worker
The individual file size limit of 25 MiB remains unchanged for all customers.
This increase allows you to build larger applications with more static assets without hitting limits.
Wrangler
To take advantage of the increased limits, you must use Wrangler version 4.34.0 or higher.
Earlier versions of Wrangler will continue to enforce the previous 20,000 file limit.
You can now manage Workers, Versions, and Deployments as separate resources with a new, resource-oriented API (Beta).
This new API is supported in the Cloudflare Terraform provider ↗︎ and the Cloudflare Typescript SDK ↗︎, allowing platform teams to manage a Worker's infrastructure in Terraform, while development teams handle code deployments from a separate repository or workflow. We also designed this API with AI agents in mind, as a clear, predictable structure is essential for them to reliably build, test, and deploy applications.
This API worked for creating a basic Worker, uploading all of its code, and deploying it immediately — but came with challenges:
A Worker couldn't exist without code: To create a Worker, you had to upload its code in the same API request. This meant platform teams couldn't provision Workers with the proper settings, and then hand them off to development teams to deploy the actual code.
Several endpoints implicitly created deployments: Simple updates like adding a secret or changing a script's content would implicitly create a new version and immediately deploy it.
Updating a setting was confusing: Configuration was scattered across eight endpoints with overlapping responsibilities. This ambiguity made it difficult for human developers (and even more so for AI agents) to reliably update a Worker via API.
Scripts used names as primary identifiers: This meant simple renames could turn into a risky migration, requiring you to create a brand new Worker and update every reference. If you were using Terraform, this could inadvertently destroy your Worker altogether.
After: Three resources with clear boundaries
The new API introduces cleaner resource management with three core resources: Worker, Versions, and Deployment.
All endpoints now use simple JSON payloads, with script content embedded as base64-encoded strings -- a more consistent and reliable approach than the previous multipart/form-data format.
Worker: The parent resource representing your application. It has a stable UUID and holds persistent settings like name, tags, and logpush. You can now create a Worker to establish its identity and settings before any code is uploaded.
Version: An immutable snapshot of your code and its specific configuration, like bindings and compatibility_date. Creating a new version is a safe action that doesn't affect live traffic.
Deployment: An explicit action that directs traffic to a specific version.
Why this matters
You can now create Workers before uploading code
Workers are now standalone resources that can be created and configured without any code. Platform teams can provision Workers with the right settings, then hand them off to development teams for implementation.
Example: Typescript SDK
// Step 1: Platform team creates the Worker resource (no code needed)const worker = await client.workers.beta.workers.create({ name: "payment-service", account_id: "...", observability: { enabled: true, },});// Step 2: Development team adds code and creates a version laterconst version = await client.workers.beta.workers.versions.create(worker.id, { account_id: "...", main_module: "worker.js", compatibility_date: "$today", bindings: [ /*...*/ ], modules: [ { name: "worker.js", content_type: "application/javascript+module", content_base64: Buffer.from(scriptContent).toString("base64"), }, ],});// Step 3: Deploy explicitly when readyconst deployment = await client.workers.scripts.deployments.create(worker.name, { account_id: "...", strategy: "percentage", versions: [ { percentage: 100, version_id: version.id, }, ],});
Example: Terraform
If you use Terraform, you can now declare the Worker in your Terraform configuration and manage configuration outside of Terraform in your Worker's wrangler.jsonc file and deploy code changes using Wrangler.
resource "cloudflare_worker" "my_worker" { account_id = "..." name = "my-important-service"}# Manage Versions and Deployments here or outside of Terraform# resource "cloudflare_worker_version" "my_worker_version" {}# resource "cloudflare_workers_deployment" "my_worker_deployment" {}
Deployments are always explicit, never implicit
Creating a version and deploying it are now always explicit, separate actions - never implicit side effects. To update version-specific settings (like bindings), you create a new version with those changes. The existing deployed version remains unchanged until you explicitly deploy the new one.
# Step 1: Create a new version with updated settings (doesn't affect live traffic)POST /workers/workers/{id}/versions{ "compatibility_date": "$today", "bindings": [ { "name": "MY_NEW_ENV_VAR", "text": "new_value", "type": "plain_text" } ], "modules": [...]}# Step 2: Explicitly deploy when ready (now affects live traffic)POST /workers/scripts/{script_name}/deployments{ "strategy": "percentage", "versions": [ { "percentage": 100, "version_id": "new_version_id" } ]}
Settings are clearly organized by scope
Configuration is now logically divided: Worker settings (like name and tags) persist across all versions, while Version settings (like bindings and compatibility_date) are specific to each code snapshot.
# Version settings (the "code")POST /workers/workers/{id}/versions{ "compatibility_date": "$today", "bindings": [...], "modules": [...]}
/workers API endpoints now support UUIDs (in addition to names)
The /workers/workers/ path now supports addressing a Worker by both its immutable UUID and its mutable name.
# Both work for the same WorkerGET /workers/workers/29494978e03748669e8effb243cf2515 # UUID (stable for automation)GET /workers/workers/payment-service # Name (convenient for humans)
This dual approach means:
Developers can use readable names for debugging.
Automation can rely on stable UUIDs to prevent errors when Workers are renamed.
Terraform can rename Workers without destroying and recreating them.
The pre-existing Workers REST API remains fully supported. Once the new API exits beta, we'll provide a migration timeline with ample notice and comprehensive migration guides.
Existing Terraform resources and SDK methods will continue to be fully supported through the current major version.
While the Deployments API currently remains on the /scripts/ endpoint, we plan to introduce a new Deployments endpoint under /workers/ to match the new API structure.
Starting December 1, 2025, list endpoints for the Cloudflare Tunnel API and Zero Trust Networks API will no longer return deleted tunnels, routes, subnets and virtual networks by default. This change makes the API behavior more intuitive by only returning active resources unless otherwise specified.
No action is required if you already explicitly set is_deleted=false or if you only need to list active resources.
The default behavior of the is_deleted query parameter will be updated.
Scenario
Previous behavior (before December 1, 2025)
New behavior (from December 1, 2025)
is_deleted parameter is omitted
Returns active & deleted tunnels, routes, subnets and virtual networks
Returns only active tunnels, routes, subnets and virtual networks
Action required
If you need to retrieve deleted (or all) resources, please update your API calls to explicitly include the is_deleted parameter before December 1, 2025.
To get a list of only deleted resources, you must now explicitly add the is_deleted=true query parameter to your request:
# Example: Get ONLY deleted Tunnelscurl "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/tunnels?is_deleted=true" \ -H "Authorization: Bearer $API_TOKEN"# Example: Get ONLY deleted Virtual Networkscurl "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/teamnet/virtual_networks?is_deleted=true" \ -H "Authorization: Bearer $API_TOKEN"
Following this change, retrieving a complete list of both active and deleted resources will require two separate API calls: one to get active items (by omitting the parameter or using is_deleted=false) and one to get deleted items (is_deleted=true).
Why we’re making this change
This update is based on user feedback and aims to:
Create a more intuitive default: Aligning with common API design principles where list operations return only active resources by default.
Reduce unexpected results: Prevents users from accidentally operating on deleted resources that were returned unexpectedly.
Improve performance: For most users, the default query result will now be smaller and more relevant.
JavaScript asset responses have been updated to use the text/javascript Content-Type header instead of application/javascript. While both MIME types are widely supported by browsers, the HTML Living Standard explicitly recommends text/javascript as the preferred type going forward.
This change improves:
Standards alignment: Ensures consistency with the HTML spec and modern web platform guidance.
Interoperability: Some developer tools, validators, and proxies expect text/javascript and may warn or behave inconsistently with application/javascript.
Future-proofing: By following the spec-preferred MIME type, we reduce the risk of deprecation warnings or unexpected behavior in evolving browser environments.
Consistency: Most frameworks, CDNs, and hosting providers now default to text/javascript, so this change matches common ecosystem practice.
Because all major browsers accept both MIME types, this update is backwards compatible and should not cause breakage.
Users will see this change on the next deployment of their assets.
Wrangler's error screen has received several improvements to enhance your debugging experience!
The error screen now features a refreshed design thanks to youch ↗︎, with support for both light and dark themes, improved source map resolution logic that handles missing source files more reliably, and better error cause display.
Before
After (Light)
After (Dark)
Try it out now with npx wrangler@latest dev in your Workers project.
The node:fs module provides access to a virtual file system in Workers. You can use it to read and write files, create directories, and perform other file system operations.
The virtual file system is ephemeral with each individual request havig its own isolated temporary file space. Files written to the file system will not persist across requests and will not be shared across requests or across different Workers.
Workers running with the nodejs_compat compatibility flag will have access to the node:fs module by default when the compatibility date is set to 2025-09-01 or later. Support for the API can also be enabled using the enable_nodejs_fs_module compatibility flag together with the nodejs_compat flag. The node:fs module can be disabled using the disable_nodejs_fs_module compatibility flag.
import fs from "node:fs";const config = JSON.parse(fs.readFileSync("/bundle/config.json", "utf-8"));export default { async fetch(request) { return new Response(`Config value: ${config.value}`); },};
There are a number of initial limitations to the node:fs implementation:
The glob APIs (e.g. fs.globSync(...)) are not implemented.
The file watching APIs (e.g. fs.watch(...)) are not implemented.
The file timestamps (modified time, access time, etc) are only partially supported. For now, these will always return the Unix epoch.
The Web File System API provides access to the same virtual file system as the node:fs module, but with a different API surface. The Web File System API is only available in Workers running with the enable_web_file_system compatibility flag. The nodejs_compat compatibility flag is not required to use the Web File System API.
As there are still some parts of the Web File System API that are not fully standardized, there may be some differences between the Workers implementation and the implementations in browsers.
If you're serving Static Assets with a _redirects file containing a rule like /ja/* /:splat, paths with double slashes were previously misinterpreted as external URLs. For example, visiting /ja//example.com would incorrectly redirect to https://example.com instead of /example.com on your domain. This has been fixed and double slashes now correctly resolve as local paths. Note: Cloudflare Pages was not affected by this issue.
We've updated preview URLs for Cloudflare Workers to support long branch names.
Previously, branch and Worker names exceeding the 63-character DNS limit would cause alias generation to fail, leaving pull requests without aliased preview URLs. This particularly impacted teams relying on descriptive branch naming.
Now, Cloudflare automatically truncates long branch names and appends a unique hash, ensuring every pull request gets a working preview link.
How it works
63 characters or less: <branch-name>-<worker-name> → Uses actual branch name as is
64 characters or more: <truncated-branch-name>--<hash>-<worker-name> → Uses truncated name with 4-character hash
Hash generation: The hash is derived from the full branch name to ensure uniqueness
Stable URLs: The same branch always generates the same hash across all commits
Requirements and compatibility
Wrangler 4.30.0 or later: This feature requires updating to wrangler@4.30.0+
No configuration needed: Works automatically with existing preview URL setups
We are changing how Python Workers are structured by default. Previously, handlers were defined at the top-level of a module as on_fetch, on_scheduled, etc. methods, but now they live in an entrypoint class.
Here's an example of how to now define a Worker with a fetch handler: