Edge Utils Resources v0.2.8 edge-utilsnpmGet help on SlackDocumentation Index
Fetch the complete documentation index at: https://growthbook-preview.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Overview
GrowthBook currently supports two levels of integration with most edge workers:-
Our turnkey Edge App
- Automatically run server-side or hybrid Visual Experiments without redraw flicker.
- Automatically run server-side or hybrid URL Redirect Experiments without flicker or delay.
- Perform custom feature flagging and experimentation logic.
- Optionally inject the JavaScript SDK with hydrated payload, allowing the front-end to pick up where the edge left off without any extra network requests. We use an enhanced version of our HTML Script Tag for this purpose.
- Support for edge apps using our JavaScript SDK
References
- Our base Edge App repository, which supports the above use cases, is here
- You may find it useful to review our JavaScript SDK. Many of the concepts which apply to both on-edge and injected frontend SDKs are based on our JS SDK.
Turnkey Edge App
Our Edge App runs as a smart proxy layer between your application and your end users. In absence of Visual or URL Redirect experiments, the Edge App will simply proxy the user request to your site and return the response, optionally injecting a fully-bootstrapped JavaScript SDK onto the rendered HTML page. If the request URL matches an Visual or URL Redirect experiment and the targeting conditions are satisfied, the Edge App may also perform one or more URL redirects behind the scenes (the public-facing URL does not change) and/or mutate the DOM for Visual Experiments. Additionally, by using lifecycle hooks you can perform custom logic such as feature flagging as well as proxying and early returns.The Edge App defaults to running URL Redirect Experiments in the browser only. This is because edge redirects load a separate page’s content without altering the URL. After the redirect, some sites may experience problems with loading assets or endpoints with relative paths.
You can enable URL Redirects on edge by setting environment variable
RUN_URL_REDIRECT_EXPERIMENTS to “edge” or “everywhere”.
Additionally if your redirect is cross-domain (e.g. redirection from “public.mysite.io” to “newsite.io”), you must also set RUN_CROSS_ORIGIN_URL_REDIRECT_EXPERIMENTS.
See environment variables for more information.Install the SDK
- npm
- Yarn
- pnpm
- Bun
Implement the Edge App request handler
A basic implementation of our Edge App only requires a few lines of code. Your implementation however will be vendor specific:context.helpers) that correspond to how your edge provider handles various request and response utilities.
Define helper methods
You will need to build helper methods based on the following interfaces:Configure the Edge App
Use a combination of environment variables and optional runtime configuration to add required fields and to customize the Edge App behavior.Environment variables
Add these required fields, at minimum, to your environment variables:Runtime configuration
You may want to provide context to your edge app at runtime rather than using environment variables. For example, if you have additional targeting attributes available, you may inject them by modifying your request handler code:More customization options
For a full list of customizations, view our Edge Utility repository .Tracking Experiment Views
Running A/B tests requires a tracking callback. Our turnkey Edge App defaults to using built-in front-end tracking. The tracking call automatically integrates with Segment.io, GA4, and Google Tag Manager by using the mechanism outlined in our HTML Script Tag. In order to do this, the app keeps track of tracking calls triggered on edge and injects them into the front-end SDK to be automatically triggered on page load. You may wish to either customize front-end tracking or switch to edge tracking (or use both concurrently if running hybrid edge + front-end experiments). Why might you be interested in tracking on edge? Tracking on an edge or backend environment allows you to ensure the callback is fired before any differentiation across variations, eliminating experimental bias. While not eliminating this risk, the default injected front-end tracking introduced by our Edge App does reduce this risk relative to solely using a front-end SDK. To change the front-end tracking callback, set theGROWTHBOOK_TRACKING_CALLBACK to your custom tracking JS code:
Targeting Attributes
The following targeting attributes are set automatically by the Edge App.id- creates a long-livedgbuuidcookie if it doesn’t exist alreadyurlpathhostquerypageTitledeviceType- eithermobileordesktopbrowser- one ofchrome,edge,firefox,safari, orunknownutmSourceutmMediumutmCampaignutmTermutmContent
id) and cookie name (gbuuid) by setting the UUID_KEY and UUID_COOKIE_NAME environment variables respectively.
As shown in the runtime configuration section above, you can also pass custom attributes via runtime config. You can also skip automatic attribute generation and rely solely on custom attributes by setting the environment variable SKIP_AUTO_ATTRIBUTES="true".
Routing
By default, the Edge App will process allGET requests with Content-Type: text/html encoding (other HTTP verbs and content types are proxied through without running through our app logic).
There may be situations when you will need to provide finer-grained routing / URL targeting rules within our Edge App. You will need to include a JSON encoded string of route rules in your ROUTES environment variable.
For instance, you may want to do a proxy pass-through (do not process) for mysite.io/account/* or mysite.io/settings/*. Your routes may look like this:
ROUTES array, only the first match is used.
Cookie Policy and GDPR
By default, the Edge App will persist a random unique identifier in a first-party cookie namedgbuuid. Its purpose is to provide a consistent user experience to your visitors by preventing them from being re-bucketed into different A/B test variations. It follows the same mechanism as discussed in our HTML Script Tag docs.
Delay Storing the Cookie Until Consent is Granted
If you must delay persisting thegbuuid cookie until a user consents, you can set the environment variable NO_AUTO_COOKIES="true".
This will still generate a UUID for the user, but will not persist it. That means, if the user refreshes the page, they will have a new random UUID generated.environment
You have the option to manually persist this cookie at any time, for example when a user grants consent on your cookie banner. All you need to do is fire this custom event from javascript on the rendered page:
If you are using Sticky Bucketing, a persistent sticky bucket assignments cookie will automatically be generated. If you require user permission before writing cookies, you should:
- Either do not enable Sticky Bucketing on edge (do not use
ENABLE_STICKY_BUCKETING) - Or only enable Sticky Bucketing per each user via runtime configuration. (only pass
config.enableStickyBucketing: trueif user has consented — identifiable by checking for presence of thegbuuidcookie).
Manual SDK Integration on Edge
You may be interested in building your own edge application using the GrowthBook SDK and not using our turnkey Edge App. Or you may want to do custom feature flagging on specific routes while running our Edge App on other routes. To use the GrowthBook on edge, simply include our standard JavaScript SDK (@growthbook/growthbook NPM package).
Payload Caching via edge datastore
By default, the Edge App will make a network request to the GrowthBook API on each user request in order to fetch the current feature and experiment values. This is a blocking call that delays page delivery. There is an in-memory short-lived cache layer on this call, but it won’t always protect you. If you have access to a distributed key-val store on your edge, you can likely overcome this problem. There are 2 levels of key-val integration available:- You can either completely eliminate the blocking call to the GrowthBook API by implementing a GrowthBook-to-edge-keyval push model via SDK Webhooks.
- Alternatively, you can eliminate most of these network requests by using an edge key-val store as a just-in-time payload cache.
Configuring a SDK Webhook
For key-val stored payloads (1), we eliminate network requests from edge to GrowthBook by using a GrowthBook SDK Webhook to push the SDK payload to the key-val store on change.- Create an SDK Webhook on the same SDK Connection that you are using for edge integration.
- Select HTTP Endpoint as the Webhook Type.
- Set the Endpoint URL to your key-val provider’s REST API endpoint. However, not all edge vendors will have a public REST endpoint for setting the key-val cache. You may need to build your own endpoint to handle the webhook, in which case webhook verification may be important.
-
Change the Method to
PUT(or whichever verb is required by your vendor or endpoint). -
Add any vendor-specific authorization headers. This may not be required depending on your specific vendor:
- Set the Payload format to “SDK Payload only”.

