Integrate the Google Vertex AI API with the AWS API

Setup the Google Vertex AI API trigger to run a workflow which integrates with the AWS API. Pipedream's integration platform allows you to integrate Google Vertex AI and AWS remarkably fast. Free for developers.

Popular Ways to Connect Google Vertex AI with AWS#

Analyze Image/Video with Google Vertex AI API on New Scheduled Tasks from AWS API

AWS + Google Vertex AI

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Analyze Image/Video with Google Vertex AI API on New SNS Messages from AWS API

AWS + Google Vertex AI

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Analyze Text Sentiment with Google Vertex AI API on New Scheduled Tasks from AWS API

AWS + Google Vertex AI

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Analyze Text Sentiment with Google Vertex AI API on New SNS Messages from AWS API

AWS + Google Vertex AI

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Classify Text with Google Vertex AI API on New Scheduled Tasks from AWS API

AWS + Google Vertex AI

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Popular Google Vertex AI and AWS Triggers#

New Scheduled Tasks from the AWS API

Creates a Step Function State Machine to publish a message to an SNS topic at a specific timestamp. The SNS topic delivers the message to this Pipedream source, and the source emits it as a new event.

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New SNS Messages from the AWS API

Creates an SNS topic in your AWS account. Messages published to this topic are emitted from the Pipedream source.

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New Inbound SES Emails from the AWS API

The source subscribes to all emails delivered to a specific domain configured in AWS SES. When an email is sent to any address at the domain, this event source emits that email as a formatted event. These events can trigger a Pipedream workflow and can be consumed via SSE or REST API.

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New Deleted S3 File from the AWS API

Emit new event when a file is deleted from a S3 bucket

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New DynamoDB Stream Event from the AWS API

Emit new event when a DynamoDB stream receives new events. See the docs here

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Popular Google Vertex AI and AWS Actions#

Analyze Image/Video with the Google Vertex AI API

Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation

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Analyze Text Sentiment with the Google Vertex AI API

Analyzes a specified text for its underlying sentiment. See the documentation

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Classify Text with the Google Vertex AI API

Groups a provided text into predefined categories. See the documentation

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CloudWatch Logs - Put Log Event with the AWS API

Uploads a log event to the specified log stream. See docs

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DynamoDB - Create Table with the AWS API

Creates a new table to your account. See docs

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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 AWS#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Connect AWS#

import AWS from 'aws-sdk'

export default defineComponent({
  props: {
    aws: {
      type: "app",
      app: "aws",
    }
  },
  async run({steps, $}) {
    const { accessKeyId, secretAccessKey } = this.aws.$auth
    
    /* Now, pass the accessKeyId and secretAccessKey to the constructor for your desired service. For example:
    
    const dynamodb = new AWS.DynamoDB({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    */
  },
})