SolarWinds Papertrail provides real-time live tail, search, and troubleshooting for apps, servers, and infrastructure.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
The Papertrail API provides access to its log management and analysis service, enabling you to programmatically query logs, retrieve system events, and manage log destinations. Integrating Papertrail with Pipedream allows you to automate reactions to log events, analyze log data, and connect log insights with other services for notifications, data storage, or further processing. By leveraging Papertrail's API, you can craft tailored serverless workflows on Pipedream that respond in real-time to your logging needs.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
papertrail: {
type: "app",
app: "papertrail",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://papertrailapp.com/api/v1/systems.json`,
headers: {
"X-Papertrail-Token": `${this.papertrail.$auth.api_token}`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});