imgix is the leading platform for end-to-end visual media processing. imgix reduces development hassles, saves storage costs, and improves web performance.
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 imgix API offers dynamic image processing and optimization. You can manipulate images on-the-fly by changing query parameters in the image URL, enabling a myriad of transformations like resizing, cropping, adjusting quality, format conversion, and applying filters. Integrating imgix with Pipedream allows you to automate workflows that involve image manipulation, optimization for different devices and contexts, and the dynamic delivery of images.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
imgix: {
type: "app",
app: "imgix",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.imgix.com/api/v1/sources`,
headers: {
Authorization: `Bearer ${this.imgix.$auth.api_key}`,
"Accept": `application/json`,
"Content-Type": `application/vnd.api+json`,
},
})
},
})
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);
},
});