Integrate the Launch Darkly (Oauth) API with the Go API

Setup the Launch Darkly (Oauth) API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Launch Darkly (Oauth) and Go remarkably fast. Free for developers.

Popular Launch Darkly (Oauth) and Go Actions#

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

Try it

Overview of Launch Darkly (Oauth)#

Launch Darkly's API provides the means to automate feature flagging and manage experiments in your software delivery. This power, harnessed within Pipedream's serverless environment, can transform how you handle software deployment strategies, perform A/B testing, and control access to new features. The API's capabilities extend to updating flags, fetching flag statuses, and managing user segments, all of which can be integrated into sophisticated, automated workflows that react to external triggers or scheduled events.

Connect Launch Darkly (Oauth)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    launch_darkly_oauth: {
      type: "app",
      app: "launch_darkly_oauth",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.launchdarkly.com/api/v2/projects`,
      headers: {
        Authorization: `Bearer ${this.launch_darkly_oauth.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Go#

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go#

package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}