Progressive and type-safe feature flags.
An easy way to increase your deployment frequency and reduce stress of releases.
- 🚀 Progressive rollouts, 🎯 targeted audiences and 📅 scheduled launches.
- 🛠 Remote configuration without vendor lock-in.
- 💙 Amazing TypeScript support.
- 💡 Framework agnostic with React adaptor included.
- 🌳 Lightweight core with tree shakeable plugins.
- 🧪 Bi- and multivariates of any type.
Start by adding Keat to your codebase:
npm install keat
After installing Keat, you can define your first feature together with its rule.
import { keatCore } from "keat";
const { variation } = keatCore({
features: {
recommendations: true,
},
});
variation("recommendations") === true;
By default the rule can either be true
or false
, respectively to enable or disable it.
This is not very useful so let's continue by adding plugins to supercharge Keat.
Enabling features for particular users allows you to test in production and preview releases to your adventurous users.
To do this you use the audience
plugin.
This plugin looks whether the rule contains its name and enables the feature when its function evaluates truthy.
import { keatCore, audience } from "keat";
const { variation } = keatCore({
features: {
recommendations: "staff",
},
plugins: [audience("staff", (user) => user.email?.endsWith("example.io"))],
});
variation("recommendations", { email: "[email protected]" }) === true;
variation("recommendations", { email: "[email protected]" }) === false;
Enabling features for a percentage of users allows canary and A/B testing. By releasing to a small and gradually increasing amount of users you gain the confidence you need.
To do this you use the rollouts
plugin.
This plugin takes the first number
of a rule and enables the feature for a percentage of users equal to that amount. Under the hood a murmurhash will ensure sticky behavior across sessions for the same user.
import { keatCore, audience, rollouts } from "keat";
const { variation } = keatCore({
features: {
recommendations: { OR: ["staff", 25] },
},
plugins: [
audience("staff", (user) => user.email?.endsWith("example.io")),
rollouts(),
],
});
variation("recommendations", { email: "[email protected]" }) === true;
variation("recommendations", { email: randomEmail() }); // `true` for 25% of users.
You might also wonder how multiple plugins relate to each other. Plugins are evaluated in FIFO order, so in this example the audiences are checked before the rollouts. The evaluation short-circuits whenever a plugin sets a result, and when none is set the default behavior is used instead.
Toggling features is the bread and butter of any feature management tool.
Keat uses configuration to toggle features.
The format is a basic JSON object that maps the feature to its updated rule:
{
"recommendations": { "OR": ["staff", 50] }
}
The plain format combined with custom plugins means possibilities are endless:
- Serve from Cloud Object Storage or embed it within your API.
- Use CloudFlare at edge or tools like Firebase Remote configuration.
- Open a WebSocket or use server-sent events to stream changes in real-time.
Or you can use the build-in remoteConfig
to fetch it from an endpoint:
import { keatCore, remoteConfig, audience, rollouts } from "keat";
const { variation } = keatCore({
features: {
recommendations: false,
},
plugins: [
remoteConfig("http://example.io/config", { interval: 300 }),
audience("staff", (user) => user.email?.endsWith("example.io")),
rollouts(),
],
});
Website without login or stable identity where you can still preview and A/B test optimal engagement.
Consider embedding configuration at build time since modern CI can rebuild it within a minute or two. Environment variables favour operational simplicity over propagation speed. You can get all the benefits of feature flags without the burden of infrastructure.
import { keatCore, localConfig, …, rollouts } from "keat";
import featureJson from "./features.json";
export const keat = keatCore({
features: {
search: 30,
halloweenDesign: { OR: ["preview", "2022-10-20"] },
},
plugins: [
localConfig({
...featureJson,
search: fromEnv(process.env["TOGGLE_SEARCH"]),
}),
anonymous({ persist: true }),
queryParam("preview"), // takes "preview" and toggles when "preview" is in the URL's query parameters.
launchDay(), // takes all ISO 8601 date strings and toggles when the date is in the past.
rollouts(),
],
});
Keat works both in the browser and on NodeJs. Use it to measure performance optimizations, gradually migrate to a new integration or degrade your services when there is trouble on the horizon.
Keat is not restricted traditional boolean flags. Use bi- or multi-variates of any type to be more expressive in your feature flags. Keat will also properly infer the return type of your variates so you get immediate feedback on your usage.
import { keatCore, rollouts } from "keat";
export const keat = keatCore({
features: {
enableJitCache: 50,
notificationService: {
variates: ["modern", "legacy"],
when: 5,
},
rateLimit: {
variates: [
{
level: "default",
average: 1000,
burst: 2000
},
{
level: "degraded",
average: 500,
burst: 800,
},
{
level: "disaster",
average: 100,
burst: 150,
},
],
when: [false, true, false],
},
} as const, // tip: use `as const` to narrow the return types
plugins: [rollouts()],
});
keat.variation("notificationService");
ReturnType<typeof keat.variation("rateLimit")> = { level: string; average: number; burst: number};
ReturnType<typeof keat.variation("notificationService")> = "modern" | "legacy"; // or `string` without `as const`
Modern web application where developers can test in production, gather feedback through early previews and progressively rollout to maximise the chance of success.
Your remote configuration might be slow for a variety of reasons (e.g. viewer has slow 3G).
With feature display you can optimize individual boundaries instead of blocking your whole application.
It will feel familiar if you've worked with font-display
before (Playground, MDN Docs).
import { keatReact, audience, remoteConfig, rollouts } from "keat";
const { useKeat, FeatureBoundary } = keatReact({
features: {
search: false,
redesign: false,
sortAlgorithm: {
variates: ["quicksort", "insertionSort", "heapsort"],
},
} as const,
plugins: [
remoteConfig("https://example.io/slowConfig", { interval: 300 }),
audience("staff", (user) => user.email?.endsWith("example.io")),
audience("preview", (user) => user.settings.previewEnabled),
rollouts(),
],
});
export function App() {
const { variation } = useKeat();
return (
<div>
<h1>Keat</h1>
<FeatureBoundary name="redesign" fallback={<p>Your old design</p>}>
<p>Your new design</p>
</FeatureBoundary>
<FeatureBoundary
name="search"
display="block"
invisible={<SearchSkeleton />}
>
<Search />
</FeatureBoundary>
<SortedList data={[1, 3, 4]} algorithm={variation("sortAlgorithm")} />
</div>
);
}
Rules:
- audience checks whether the rule contains its name and enables the feature when its function responds truthy.
- queryParam checks whether the rule contains its name and enables the feature depending on the URLs query parameter.
- rollouts takes the first
number
and enables the feature for a percentage of users equal to that amount. - launchDay takes all
ISO 8601 date strings
and enables the feature when the date is in the past.
Configurations:
- localConfig fetches your configuration from a local JSON file or environment variables.
- remoteConfig fetches your configuration from a remote endpoint, which allows decoupling deploy from release.
- customConfig fetches your configuration with a customizable fetch.
Miscellaneous:
- cache adds simple caching to your evaluations which improve performance.
- anonymous adds a generated, stable identity, which allows reliable rollout results.
Plugins are plain old JavaScript objects with a simple interface that hooks into the lifecycle of Keat. Checkout the common plugin interface on GitHub to get a full view on the available context and API.
Here is the code for the launch day plugin:
export const launchDay = () => {
createPlugin({
matcher: isDate,
evaluate({ literal }) {
return literal.getTime() < Date.now();
},
});
};
MIT