ImageKit.io
Media management, optimization, and delivery solution for a seamless visual experience on websites and apps.
Integrate the ImageKit.io API with the MySQL API
Setup the ImageKit.io API trigger to run a workflow which integrates with the MySQL API. Pipedream's integration platform allows you to integrate ImageKit.io and MySQL remarkably fast. Free for developers.
Popular ImageKit.io and MySQL Triggers#
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
Popular ImageKit.io and MySQL Actions#
Overview of ImageKit.io#
ImageKit.io API lets you manage, optimize, and deliver images dynamically for your web applications. On Pipedream, you can integrate this API to construct serverless workflows that automate your image operations and connect with other services. You can upload images from various sources, apply real-time transformations, and track media assets without managing infrastructure.
Connect ImageKit.io#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
imagekit_io: {
type: "app",
app: "imagekit_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.imagekit.io/v1/files`,
auth: {
username: `${this.imagekit_io.$auth.private_key}`,
password: ``,
},
})
},
})
Overview of MySQL#
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.
Connect MySQL#
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
};
const { rows } = await this.mysql.executeQuery(queryObj);
return rows;
},
});