AWS

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

Integrate the AWS API with the Schedule API

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

CloudWatch Logs - Put Log Event with AWS API on Custom Interval from Schedule API
Schedule + AWS
 
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CloudWatch Logs - Put Log Event with AWS API on Daily schedule from Schedule API
Schedule + AWS
 
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CloudWatch Logs - Put Log Event with AWS API on Monthly Schedule from Schedule API
Schedule + AWS
 
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CloudWatch Logs - Put Log Event with AWS API on Weekly schedule from Schedule API
Schedule + AWS
 
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DynamoDB - Create Table with AWS API on Daily schedule from Schedule API
Schedule + AWS
 
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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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Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

 
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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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Daily schedule from the Schedule API

Trigger your workflow every day.

 
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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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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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DynamoDB - Execute Statement with the AWS API

This operation allows you to perform transactional reads or writes on data stored in DynamoDB, using PartiQL. See docs

 
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DynamoDB - Get Item with the AWS API

The Get Item operation returns a set of attributes for the item with the given primary key. If there is no matching item, Get Item does not return any data and there will be no Item element in the response. See docs

 
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DynamoDB - Put Item with the AWS API

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. See docs

 
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Overview of AWS

You can use the AWS API to build a variety of applications and services. Here
are some examples:

  • A mobile application that allows users to access data stored in the cloud
  • A web application that allows users to upload and download files
  • A web service that allows developers to access Amazon's vast product catalog
  • A desktop application that allows users to access their Amazon account
    information

Connect AWS

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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',
    })
    
    */
  },
})

Overview of Schedule

With Schedule - A trigger provided by Pipedream - You can easily build
automated workflows that run on regular times or intervals. Some examples of
things that you can build using the Schedule API include:

  • Automated data retrieval from a third-party service, like pulling stats from
    your Salesforce account on a set schedule.
  • Uploading new data sets to a database with a predetermined interval.
  • Automatic emails to customers or leads at a certain time of the day.
  • Automating data analysis based on a set schedule.
  • Automatically optimizing social media postings according to a specified
    timeline.
  • Updating webpages at a certain interval with newly available content.
  • Re-running reports on a periodic basis.
  • Refreshing a cache of data at a given frequency.