What do you want to automate
with Google Vertex AI and Datadog?
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Popular Ways to Connect Google Vertex AI with Datadog#
Popular Google Vertex AI and Datadog Actions#
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
Generate a video from an image with optional text prompt using Google Vertex AI Veo models. See the documentation
Overview of Google Vertex AI#
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.
Connect Google Vertex AI#
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}`,
},
})
},
})
Overview of Datadog#
The Datadog API, accessible through Pipedream, empowers you to programmatically interact with Datadog's monitoring and analytics platform. This enables developers to automate the retrieval of monitoring data, manage alert configurations, and synchronize service health information across systems. With Pipedream's serverless execution model, you can create intricate workflows that react to Datadog events or metrics, manipulate the data, and pass it on to other services or even Datadog itself for a cohesive operational ecosystem.
Connect Datadog#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
datadog: {
type: "app",
app: "datadog",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.datadoghq.com/api/v1/user`,
headers: {
"DD-API-KEY": `${this.datadog.$auth.api_key}`,
"DD-APPLICATION-KEY": `${this.datadog.$auth.application_key}`,
},
})
},
})
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