Launch Darkly offers unified feature management and experimentation. Feature flags, context-aware targeting, and experimentation in one powerful software delivery platform.
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
Launch Darkly's API provides the means to automate feature flagging and manage experiments in your software delivery. This power, harnessed within Pipedream's serverless environment, can transform how you handle software deployment strategies, perform A/B testing, and control access to new features. The API's capabilities extend to updating flags, fetching flag statuses, and managing user segments, all of which can be integrated into sophisticated, automated workflows that react to external triggers or scheduled events.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
launch_darkly_oauth: {
type: "app",
app: "launch_darkly_oauth",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.launchdarkly.com/api/v2/projects`,
headers: {
Authorization: `Bearer ${this.launch_darkly_oauth.$auth.oauth_access_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);
},
});