Cloud intelligence & automated security platforms for DevOps teams.
Creates a new organization in Turbot Pipes. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Deletes the specified organization. See the documentation
The Turbot Pipes API allows for sophisticated data integration and workflow automation across a variety of sources and services. With Turbot Pipes, you can design data pipelines that connect your systems, automate data transformations, and orchestrate tasks to streamline your operations. The API provides methods to create, manage, and execute these data pipelines, which can be especially powerful when leveraged through Pipedream's serverless platform. You can connect Turbot Pipes with numerous other apps available on Pipedream to automate data flows, sync information, and react to events in real-time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
turbot_pipes: {
type: "app",
app: "turbot_pipes",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://pipes.turbot.com/api/v0/actor`,
headers: {
Authorization: `Bearer ${this.turbot_pipes.$auth.token}`,
},
})
},
})
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)
}