DigiCert

DigiCert is a leading global provider of digital certificates.

Integrate the DigiCert API with the Go API

Setup the DigiCert API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate DigiCert 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 DigiCert

The DigiCert API provides a programmatic interface to manage the lifecycle of SSL/TLS certificates, offering automation for tasks such as ordering, reissuing, and renewing certificates. Using Pipedream, you can harness this API to create powerful workflows that enhance your certificate management process, ensuring security compliance, automating routine tasks, and integrating with other services, like monitoring systems or deployment pipelines.

Connect DigiCert

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    digicert: {
      type: "app",
      app: "digicert",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.digicert.com/services/v2/user`,
      headers: {
        "Content-Type": `application/xml`,
        "X-DC-DEVKEY": `${this.digicert.$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

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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)
}