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AWS IoT Connector
This connector enables you to quickly connect to IoT things and data on AWS. The connector contains microflow actions to interact with AWS IoT.
* Get things registered in AWS IoT
* Get thing descriptions
* Get shadow status
* Update shadow
* Send update MQTT message
* Subscribe to MQTT topic
* Unsubscribe from MQTT topic
Amazon SQS Connector
IMPORTANT - This is a temporary, community-supported connector, provided by Webflight. We will soon be complementing - and ultimately replacing - this with a platform-supported version, which includes session-based authentication using the AWS Authentication connector.
Welcome to the Mendix AmazonSQSConnector module. This module can be used in Mendix apps connect with Amazon Simple Queue Service. Amazon SQS is useful for reliable messaging between applications and even instances of a single application. Refer to the Amazon SQS documentation for more information about its features.
AWS Services Connector
This community-supported connector supports 3 AWS Services -
- Amazon S3
- Amazon SQS
- Amazon SNS
with 2 authentication flows - Static (access/secret) and Amazon Cognito (USER_PASSWORD flow).
If you’re only looking to integrate to Amazon S3 and you’re on Mendix version 9.12.1 or higher, then please use the new, platform-supported Amazon S3 Connector instead. If you’re looking to integrate to Amazon SQS and/or SNS, then please use this connector, but note that we intend to publish a platform-supported "AWS Messaging Connector” in due course.
This module provides actions and UI to leverage services on the Amazon Web Services (AWS).
The following services are facilitated using this module:
- S3 - Simple Storage Service
- Explore buckets UI
- Download, upload, delete and edit files
- SQS - Simple Queueing Service
- Explore queues through UI
- Send and receive messages
- Message attributes
- Retrieval of queue attributes (e.g. depth) for monitoring purposes
- Examples for high volume processing
- SNS - Simple Notification Service
- Explore topics through UI
- Publish messages to topics (incl message attributes)
The following flows of authentication are supported to access all of the above services:
- Static (Access/Secret)
- Cognito (USER_PASSWORD flow)
Note: The Amazon SQS and Amazon S3 module were merged into this module. Because of the high overlap of common functionality it became easier to maintain and extend into this single module.
AWS Authentication Connector
AWS Authentication connector provides a way to authenticate with AWS. Authentication can be considered as first step before calling services like Amazon S3, SQS , SNS etc.. There are two types of credentials that can be used through the AWS Authentication connector:
- Static credentials – Based on AWS “Access key ID” and “Secret Access Key”
- Session credentials – Based on short lived session token, more secured and recommended way.
In addition to provide authentication credentials, this module also provides utility to generate SigV4Headers. SigV4Headers are required to send while calling and AWS API using REST.
For more details refer documentation.
Amazon S3 Connector
Note: This platform-supported connector is the preferred way to connect to Amazon S3 from Mendix version 9.12.1 or higher. For older versions - from 8.12.5 or higher - you can use the community-supported AWS Services Connector instead.
The AWS S3 Connector allows Mendix makers to integrate with AWS S3. It provides following functionalities
- List Bucket
- List Prefix
- List Object
- Get Object
- Put Object
- Delete Object
- Copy Object
- Move Object
Pre-requisite – It requires AWS Authentication Module.
Amazon Cognito Connector
IMPORTANT - This is a temporary, community-supported connector. We will soon be replacing this with a platform-supported version, which includes the session-based authentication using the AWS Authentication connector.
Leverage AWS Cognito for fully scalable identity and access management through an application landscape. Suited for B2B or B2C scenarios where internal and external users need different SSO-solutions.
Amazon Translate Connector
This Amazon Translate Connector allow you to integrate with the Amazon Translate service on AWS.
Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Neural machine translation is a form of language translation automation that uses deep learning models to deliver more accurate and more natural sounding translation than traditional statistical and rule-based translation algorithms.
With Amazon Translate, you can localize content such as websites and applications for your diverse users, easily translate large volumes of text for analysis, and efficiently enable cross-lingual communication between users.
The Amazon Translate Connector provides the following actions:
- List Supported Languages
Amazon Rekognition Connector
The Amazon Rekognition Connector allows you to integrate with the Amazon Rekognition service on AWS.
AWS Lambda Connector
This connector provides an interface to the AWS Lambda service.
AWS Lambda is a serverless, event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers.
This connector provides the following actions:
- List Functions
- Invoke Function
- Delete Function
Amazon SNS Connector
The Amazon SNS connector provides a way for you to enrich your Mendix app with app-to-app and app-to-person notifications by implementing Amazon Simple Notification Service (SNS).
Amazon DynamoDB Connector
The Amazon DynamoDB connector provides a way for you to increase the security, scalability, and performance of your Mendix app by implementing Amazon DynamoDB.
Amazon Polly Connector
This connector provides a text-to-speech interface to the Amazon Polly service.
Amazon Polly allows you to synthesize text to speech, with 96 voices supporting 34 languages. With dozens of lifelike voices across a broad set of languages, use Amazon Polly to build speech-activated applications, for example, to accommodate the following use cases:
- Provide accessibility features for users who have difficulty reading
- Create audio-supported interfaces in your application.
This connector provides the following actions:
- Describe Voices