with Updown.io and Google Vertex AI?
Emit new event when a website check reports as down. See the documentation
Emit new event when a new webhook event occurs. See the documentation
Emit new event when an SSL certificate expiration is detected See the documentation
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
The Updown.io API allows you to interact programmatically with your website monitoring service. With this API, you can automate uptime checks, retrieve the status of your websites, manage checks, receive downtime alerts, and gather performance metrics. Integrating the Updown.io API with Pipedream enables you to create automated workflows that can respond to events, monitor services continuously, and connect with other apps to trigger actions based on the health and performance of your websites.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
updown_io: {
type: "app",
app: "updown_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://updown.io/api/nodes`,
params: {
"api-key": `${this.updown_io.$auth.api_key}`,
},
})
},
})
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})