Better Uptime

We call the right person on your team when your site goes down.

Integrate the Better Uptime API with the Go API

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

The Better Uptime API allows users to automate incident management and monitor the status of various systems. With Pipedream, you can harness this API to create custom workflows that trigger actions based on the status of your monitored endpoints. You can receive alerts, automate incident resolution tasks, or sync incident data with other tools, enhancing your operational efficiency and reducing downtime.

Connect Better Uptime

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    better_uptime: {
      type: "app",
      app: "better_uptime",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://betteruptime.com/api/v2/monitors`,
      headers: {
        Authorization: `Bearer ${this.better_uptime.$auth.api_token}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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)
}