Integrate the Sumo Logic API with the Go API

Setup the Sumo Logic API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Sumo Logic and Go remarkably fast. Free for developers.

Popular Sumo Logic and Go Actions#

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 Sumo Logic#

The Sumo Logic API facilitates the automation of your log management and analytics operations, enabling you to programmatically access Sumo Logic's data ingestion and query capabilities. With this API, you can streamline log data collection, conduct analysis, manage users, and set up alerts, all of which can be harnessed to enhance monitoring, security, and compliance procedures within your organization. Leveraging these functions within Pipedream workflows can help in creating dynamic, cross-functional integrations to optimize data-driven decision-making processes.

Connect Sumo Logic#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sumo_logic: {
      type: "app",
      app: "sumo_logic",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.${this.sumo_logic.$auth.deployment}.sumologic.com/api/v1/users`,
      auth: {
        username: `${this.sumo_logic.$auth.accessId}`,
        password: `${this.sumo_logic.$auth.accessKey}`,
      },
    })
  },
})

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)
}