with WatsonX AI and Blazemeter?
Creates a new project in a specific workspace. See the documentation
List projects from a specified workspace in BlazeMeter. See the documentation
List all workspaces associated with the specified account. See the documentation
The WatsonX AI API offers a robust suite of AI capabilities from IBM, designed to integrate advanced machine learning and cognitive computing into various applications. With these APIs, you can enhance your apps with AI-driven features such as language understanding, speech to text conversion, and visual recognition. Using Pipedream, these capabilities can be seamlessly integrated into automated workflows, allowing you to connect WatsonX AI with other services and automate complex tasks efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
watsonx_ai: {
type: "app",
app: "watsonx_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.watsonx_ai.$auth.region}.ml.cloud.ibm.com/ml/v4/deployments`,
headers: {
Authorization: `Bearer ${this.watsonx_ai.$auth.oauth_access_token}`,
},
params: {
version: `2023-07-07`,
},
})
},
})
The BlazeMeter API allows you to automate performance testing by integrating with Pipedream's serverless platform. You can trigger tests, fetch test results, and manage your testing environment programmatically. With Pipedream, connecting BlazeMeter with other apps and services streamlines performance data analysis and alerts, enhancing continuous integration and deployment (CI/CD) pipelines.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
blazemeter: {
type: "app",
app: "blazemeter",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://a.blazemeter.com/api/v4/user`,
auth: {
username: `${this.blazemeter.$auth.api_key}`,
password: `${this.blazemeter.$auth.api_secret}`,
},
})
},
})