BunnyCDN

Simple, fast and powerful CDN‎

Integrate the BunnyCDN API with the Go API

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

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 BunnyCDN

BunnyCDN is a powerful content delivery network (CDN) offering an API to manage and deliver content globally with ease. Through its API, you can programmatically purge cache, manage storage zones, and get detailed statistics about your content distribution. The BunnyCDN API facilitates building workflows on Pipedream that automate content delivery processes, leverage CDN data for analytics, and optimize digital asset management.

Connect BunnyCDN

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bunnycdn: {
      type: "app",
      app: "bunnycdn",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://bunnycdn.com/api/billing`,
      headers: {
        "AccessKey": `${this.bunnycdn.$auth.api_key}`,
      },
    })
  },
})

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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
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)
}