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with SFTP (key-based auth) and Go?
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Popular Ways to Connect SFTP (key-based auth) with Go#
Popular SFTP (key-based auth) and Go Triggers#
Emit new events when files get created, changed or deleted from a remote directory. See the docs
Popular SFTP (key-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 (key-based auth)#
The SFTP (key-based auth) app on Pipedream allows you to securely transfer and manage files over a network. It uses SSH for data transfer and provides the same level of security as SSH, without requiring password authentication, making automation workflows more secure and less prone to human error. You can automate file uploads, downloads, synchronization tasks, and efficiently manage your remote files in a serverless environment. Integrating this with other Pipedream-supported apps enables you to craft powerful and secure data flow systems.
Connect SFTP (key-based auth)#
module.exports = defineComponent({
props: {
sftp: {
type: "app",
app: "sftp",
}
},
async run({steps, $}) {
const Client = require('ssh2-sftp-client');
const {
host,
username,
privateKey,
} = this.sftp.$auth
const config = {
host,
username,
privateKey,
}
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