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with LaunchDarkly and Filter?
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Popular LaunchDarkly and Filter Triggers#
Emit new event when a new access token activity happens. See the documentation
Emit new event when flag activity occurs. See the documentation
Emit new event when user activity is noted. See the documentation
Popular LaunchDarkly and Filter Actions#
Evaluates an existing feature flag for a specific user or in a general context. See the documentation
Toggles the status of a feature flag, switching it from active to inactive, or vice versa. See the documentation
Updates an existing feature flag using a JSON object. See the documentation
Overview of LaunchDarkly#
The LaunchDarkly API provides programmatic control over feature flags and toggle management, allowing for real-time updates across different environments. By leveraging these capabilities with Pipedream, developers can automate feature rollouts, audience targeting, and performance monitoring. Through Pipedream's event-driven architecture, you can orchestrate workflows that react to changes in LaunchDarkly, sync feature flag data with other tools, and manage flag lifecycles with precision.
Connect LaunchDarkly#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
launchdarkly: {
type: "app",
app: "launchdarkly",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.launchdarkly.com/api/v2/projects`,
headers: {
"authorization": `${this.launchdarkly.$auth.access_token}`,
},
})
},
})
Overview of Filter#
The Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.
Connect Filter#
export default defineComponent({
async run({ steps, $ }) {
let condition = false
if (condition == false) {
$.flow.exit("Ending workflow early because the condition is false")
} else {
$.export("$summary", "Continuing workflow, since condition for ending was not met.")
}
},
})Trusted by 1,000,000+ developers from startups to Fortune 500 companies