LaunchDarkly

Fast and reliable feature management for the modern enterprise.

Integrate the LaunchDarkly API with the Schedule API

Setup the LaunchDarkly API trigger to run a workflow which integrates with the Schedule API. Pipedream's integration platform allows you to integrate LaunchDarkly and Schedule remarkably fast. Free for developers.

Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

 
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Daily schedule from the Schedule API

Trigger your workflow every day.

 
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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

 
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Weekly schedule from the Schedule API

Trigger your workflow on one or more days each week at a specific time (with timezone support).

 
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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

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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 Schedule

The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.