with Microsoft Azure SQL Database and LaunchDarkly?
Triggers when a new row is added or an existing row is updated.
Emit new event when a new access token activity happens. See the documentation
Emit new event when flag activity occurs. See the documentation
Emit new event when user activity is noted. See the documentation
Executes a SQL query and returns the results. See the documentation
Evaluates an existing feature flag for a specific user or in a general context. See the documentation
Inserts a new row in a table. See the documentation
The Microsoft Azure SQL Database API allows you to manage and interact with your SQL databases hosted on Azure directly from Pipedream. It provides a serverless way to run SQL queries, manage tables, and handle database management tasks. You can create, read, update, and delete database records, execute stored procedures, and perform a variety of other SQL operations. Leveraging this API on Pipedream enables you to automate workflows, respond to database events in real-time, and integrate with countless other apps and services.
import azure_sql from '@pipedream/azure_sql';
export default defineComponent({
props: {
azure_sql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/azure_sql
const queryObj = {
query: "SELECT GETDATE()",
values: [],
};
return await this.azure_sql.executeQuery(queryObj);
},
});The LaunchDarkly API provides programmatic control over feature flags and toggle management, allowing for real-time updates across different environments. By leveraging these capabilities with Pipedream, developers can automate feature rollouts, audience targeting, and performance monitoring. Through Pipedream's event-driven architecture, you can orchestrate workflows that react to changes in LaunchDarkly, sync feature flag data with other tools, and manage flag lifecycles with precision.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
launchdarkly: {
type: "app",
app: "launchdarkly",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.launchdarkly.com/api/v2/projects`,
headers: {
"authorization": `${this.launchdarkly.$auth.access_token}`,
},
})
},
})