What do you want to automate
with SFTP (password-based auth) and Go?
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Popular Ways to Connect SFTP (password-based auth) with Go#
Popular SFTP (password-based auth) and Go Triggers#
Emit new events when files get created, changed or deleted from a remote directory. See the docs
Popular SFTP (password-based auth) 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.
Uploads a file or string in UTF-8 format to the SFTP server. See the documentation
Overview of SFTP (password-based auth)#
SFTP on Pipedream enables secure file management on remote servers directly from your workflows. Utilize this app to automate file uploads, downloads, and synchronization tasks between your systems and SFTP servers. Implement robust data pipelines or deploy content to web servers without manual intervention, all while maintaining a high level of security with password-based authentication.
Connect SFTP (password-based auth)#
module.exports = defineComponent({
props: {
sftp_password_based_auth: {
type: "app",
app: "sftp_password_based_auth",
}
},
async run({steps, $}) {
const Client = require('ssh2-sftp-client');
const {
host,
username,
password,
} = this.sftp_password_based_auth.$auth
const config = {
host,
username,
password,
}
const sftp = new Client()
await sftp.connect(config)
this.cwd = await sftp.cwd();
return await sftp.end();
},
})
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)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies