SonarCloud

SonarCloud is the leading online service for Code Quality & Security. Free analysis for open-source projects covering 24 languages.

Integrate the SonarCloud API with the Go API

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

The SonarCloud API facilitates automated code quality checks and security vulnerability assessments. By integrating with Pipedream, developers can harness this power within serverless workflows, triggering actions based on code analysis results, monitoring project metrics, and automating project management tasks. The API allows for enhanced productivity by connecting code quality data with other services and tools, streamlining the development process.

Connect SonarCloud

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sonarcloud: {
      type: "app",
      app: "sonarcloud",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.sonarcloud.$auth.token}@sonarcloud.io/api/users/search`,
    })
  },
})

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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
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)
}