Fast and reliable feature management for the modern enterprise.
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
Evaluates an existing feature flag for a specific user or in a general context. See the documentation
Convert an object to a JSON format string
Add or subtract time from a given input
Get the duration between two dates in days, hours, minutes, and seconds along with checking if they are the same.
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.
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}`,
},
})
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})