Labs64 NetLicensing
NetLicensing - Innovative License Management Solution
Integrate the Labs64 NetLicensing API with the Go API
Setup the Labs64 NetLicensing API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Labs64 NetLicensing and Go remarkably fast. Free for developers.
Popular Labs64 NetLicensing and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Labs64 NetLicensing#
The Labs64 NetLicensing API is a sophisticated software licensing service that enables you to manage product licenses and configurations seamlessly. Using Pipedream, you can tap into this power to automate license creation, validation, and tracking. This enables you to integrate licensing operations into your sales, deployment, and customer support workflows, ensuring consistent and automated management of software licenses across customer lifecycles.
Connect Labs64 NetLicensing#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
labs64_netlicensing: {
type: "app",
app: "labs64_netlicensing",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://go.netlicensing.io/core/v2/rest/product`,
headers: {
"Accept": `application/json`,
},
auth: {
username: `apiKey`,
password: `${this.labs64_netlicensing.$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#
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)
}