CDN, DDoS mitigation, Internet security, and DNS services
Development Mode temporarily allows you to enter development mode for your websites if you need to make changes to your site. This will bypass Cloudflare's accelerated cache and slow down your site. See the docs here
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Choose the appropriate SSL setting for your zone. See the docs here
Creates an Origin CA certificate. See the docs here
Harness the power of Cloudflare within Pipedream's scalable platform to automate and optimize your web operations. The Cloudflare API enables you to programmatically control countless aspects of your web presence, from security settings and firewall rules to traffic and DNS management. By integrating this with Pipedream, you can create custom workflows that react to specific triggers, manipulate Cloudflare configurations on-the-fly, and connect to countless other services for a seamless automation experience.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cloudflare_api_key: {
type: "app",
app: "cloudflare_api_key",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.cloudflare.com/client/v4/user`,
headers: {
"X-Auth-Key": `${this.cloudflare_api_key.$auth.API_Key}`,
"X-Auth-Email": `${this.cloudflare_api_key.$auth.Email}`,
},
})
},
})
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.
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)
}