What do you want to automate
with Terraform and Google Vertex AI?
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Popular Ways to Connect Terraform with Google Vertex AI#
Popular Terraform and Google Vertex AI Actions#
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Retrieves a list of runs in a workspace in Terraform. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
Overview of Terraform#
The Terraform API allows for the automation of infrastructure as code (IaC) management tasks. With Pipedream, you can orchestrate workflows that interact with Terraform to create, update, or destroy infrastructure programmatically. You can trigger workflows with webhooks, schedule them, or run them in response to events from other services. By integrating Terraform with Pipedream, you can streamline your DevOps processes, enforce compliance, and manage infrastructure changes with ease.
Connect Terraform#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
terraform: {
type: "app",
app: "terraform",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.terraform.io/api/v2/account/details`,
headers: {
Authorization: `Bearer ${this.terraform.$auth.api_token}`,
"Content-Type": `application/vnd.api+json`,
},
})
},
})
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}`,
},
})
},
})
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