with New Relic and Google Vertex AI?
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 New Relic API offers powerful capabilities for monitoring, alerting, and analyzing the performance of your web applications and infrastructure. By using the API within Pipedream, you can automate and orchestrate a vast array of operations that revolve around your application's health and data insights. This can range from triggering workflows based on New Relic alerts, to syncing performance data with other tools, or even automating responses to specific incidents.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
new_relic: {
type: "app",
app: "new_relic",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.newrelic.com/v2/users.json`,
headers: {
"X-Api-Key": `${this.new_relic.$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}`,
},
})
},
})