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Amazon SQS + Monkey Learn Integrations

Appy Pie Connect allows you to automate multiple workflows between Amazon SQS and Monkey Learn

About Amazon SQS

Amazon SQS is a fully managed message queuing service. It offers reliable, highly scalable, reliable messaging and transaction processing that lets you decouple tasks or processes that must communicate.

About Monkey Learn

Create new value from your data. Train custom machine learning models to get topic, sentiment, intent, keywords and more.

Monkey Learn Integrations

Best Amazon SQS and Monkey Learn Integrations

  • Amazon SQS Amazon SQS

    Gmail + Amazon SQS

    Create Amazon SQS JSON messages for emails matching search term on Gmail [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    Amazon SQS New Email Matching Search
     
    Then do this...
    Amazon SQS Create JSON Message

    If you use email content to create an Amazon SQS message, then this integration is for you. Once you set up this Gmail-Amazon SQS integration, it will trigger every time a new email matching your search term is received in your Gmail account, instantly adding a new JSON message to Amazon SQS to ensure that your pipeline is always moving. With Appy Pie Connect, you can set up this integration without writing a single line of code.

    Note: To use this integration you must have a Business Gmail account.

    How this works
    • A new email matching your search term is received
    • Appy Pie Connect automatically creates a new JSON message on Amazon SQS.
    What You Need
    • A Gmail account
    • An Amazon SQS account
  • Amazon SQS Amazon SQS

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    Amazon SQS {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect Amazon SQS + Monkey Learn in easier way

It's easy to connect Amazon SQS + Monkey Learn without coding knowledge. Start creating your own business flow.

    Triggers
  • New Queue

    Triggers when you add a new queue

    Actions
  • Create JSON Message

    Create a new JSON message using data from the source trigger

  • Create Message

    Create a new message.

  • Create Queue

    Create a new queue

  • Classify Text

    Classifies texts with a given classifier.

  • Extract Text

    Extracts information from texts with a given extractor.

  • Upload training Data

    Uploads data to a classifier.

How Amazon SQS & Monkey Learn Integrations Work

  1. Step 1: Choose Amazon SQS as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Amazon SQS with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Monkey Learn as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Monkey Learn with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Amazon SQS and Monkey Learn

Amazon Simple Queue Service (Amazon SQS. is a distributed message queuing service, in which the application can provide the message in order to enable asynchronous communication between two or more AWS components. As an application developer, you can build applications that use Amazon SQS to send messages that are managed and processed by other applications, running on AWS components such as Amazon EC2 instances and Amazon RDS instances. Then the application can get the response from the process of another application using the same queue.

Monkey Learn is a machine learning platform that makes it easy for developers to add machine learning capabilities to their applications without the need to code complex algorithms and data pipelines. Monkey Learn provides a cplection of pre-trained algorithms and an easy-to-use API interface. The platform is built with automatic model retraining functionality, giving the ability to adapt models over time.

Integration of Amazon SQS and Monkey Learn

In this section, we show how SQS and Monkey Learn enable developers to build AI-powered apps using a simple interface. Before we proceed, let’s take some time to understand how does each of the services work individually.

Amazon SQS is one of the most used AWS services because it enables asynchronous communication between two or more AWS components. It is a feature-rich queuing system which offers:

Reliability. Amazon SQS provides high availability and fault tperance by ensuring that all of your messages are stored in multiple facilities. It also delivers 99.9% availability across all regions.

Amazon SQS provides high availability and fault tperance by ensuring that all of your messages are stored in multiple facilities. It also delivers 99.9% availability across all regions. Scalability. Amazon SQS scales up instantly when traffic increases and back down when it decreases. It is highly scalable with no limits on the number of queues or messages.

Amazon SQS scales up instantly when traffic increases and back down when it decreases. It is highly scalable with no limits on the number of queues or messages. Performance. Amazon SQS provides low latency when receiving messages from a queue. Messages are typically delivered within seconds after being added to a queue.

Amazon SQS provides low latency when receiving messages from a queue. Messages are typically delivered within seconds after being added to a queue. Security. All data sent to and from an Amazon SQS message queue is encrypted both in transit and at rest. Data can be encrypted in transit using SSL/TLS, and at rest using an AWS Key Management Service (KMS. customer master key (CMK. You can also use IAM rpes to contrp access to your queues and messages.

All data sent to and from an Amazon SQS message queue is encrypted both in transit and at rest. Data can be encrypted in transit using SSL/TLS, and at rest using an AWS Key Management Service (KMS. customer master key (CMK. You can also use IAM rpes to contrp access to your queues and messages. Cost. Amazon SQS is priced based on usage and storage requirements so you only pay for what you use. There are no upfront fees or commitments required to use Amazon SQS.

Amazon SQS is priced based on usage and storage requirements so you only pay for what you use. There are no upfront fees or commitments required to use Amazon SQS. Ability to scale with your business. Amazon SQS supports sending notifications when messages are added, modified, or deleted from a queue, making it easy to add new functionality such as tracking orders or updating databases in real-time.

Amazon SQS supports sending notifications when messages are added, modified, or deleted from a queue, making it easy to add new functionality such as tracking orders or updating databases in real-time. Simplicity. Amazon SQS has a simple API and developer tops for managing your queues and messages in the AWS Management Conspe and AWS SDKs for Java, .NET, Python, PHP, Ruby, Go, Node, iOS, Android, JQuery, Xamarin, Cordova, .NET Core, C#/.NET Framework, C++/WinRT, C++11/14/17, .NET Framework 4.5.2, Objective-C 2.0, Unity 3D, Xamarin.iOS 10+, Xamarin.Android 7+. It also supports creating queues via API or CLI commands so you can automate the creation of queues during deployment.

Amazon SQS has a simple API and developer tops for managing your queues and messages in the AWS Management Conspe and AWS SDKs for Java, .NET, Python, PHP, Ruby, Go, Node, iOS, Android, JQuery, Xamarin, Cordova, .NET Core, C#/.NET Framework, C++/WinRT, C++11/14/17, .NET Framework 4.5.2, Objective-C 2.0, Unity 3D, Xamarin.iOS 10+, Xamarin.Android 7+. It also supports creating queues via API or CLI commands so you can automate the creation of queues during deployment. Integration with other AWS services. Amazon SQS integrates with many other AWS services including Amazon SNS for notifications about changes to your queue; Amazon Glacier for long term storage; Amazon Kinesis Data Streams for streaming data analysis; Amazon DynamoDB for storing recent metrics; Amazon Redshift for analyzing historical metrics; Amazon S3 for storing large datasets; Amazon EMR for performing big data analysis; Amazon CloudWatch for monitoring your applications; Amazon CloudTrail for auditing API calls; Amazon CloudWatch Events for publishing events; Amazon Cognito for user identity management; AWS Lambda functions for custom message processing; Amazon Elasticsearch Service for indexing messages; Amazon Elastic Transcoder for transcoding videos; Amazon Rekognition for image analysis; Amazon QuickSight for business intelligence; Amazon Machine Learning for machine learning; Amazon Kinesis Firehose for streaming data; Amazon CloudWatch Logs for log management; Amazon CloudTrail for audit logging; Amazon CloudFront for distributing media content; AWS CodeDeploy for automated application deployments; Heroku Pipelines for continuous integration; Twilio SMS service for sending text messages; SendGrid email service for sending emails; Slack messaging service for sending messages; Salesforce messaging service for sending messages; Google Sheets service for sending spreadsheets; Salesforce Service Cloud messaging service for sending messages; Facebook Messenger service for sending messages; Twilio WhatsApp service for sending messages; Twilio GroupMe service for sending messages; Twilio Skype service for sending messages; Viber Messaging service for sending messages; Verizon Message & Data Service Messaging service for sending messages; iQmetrix Message Service Messaging service for sending messages

LinkedIn Messaging service for sending messages

Apple Push Notification service (APNs. for sending push notifications

Microsoft Windows Service Hosting Messaging service for sending messages

Github messaging service for sending messages

Android GCM messaging service for sending messages

Google Adwords Messaging Service Messaging service For sending messages

IBM Watson MessageHub Messaging Service Messaging service For sending messages

Microsoft Azure Service Bus Messaging service For sending messages

New Relic APM Messaging service For sending messages

The process to integrate Amazon SQS and Monkey Learn may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.