AWS IOT + AWS IOT Integrations

Appy Pie Connect allows you to automate multiple workflows between AWS IOT and AWS IOT

  • No code
  • No Credit Card
  • Lightning Fast Setup

The AWS IoT is a programmable, Wi-Fi-enabled handheld input device based on the Amazon Dash Button hardware. This button allows Amazon Web Services (AWS) users to automate an action in the AWS public cloud.

Connect AWS IOT + AWS IOT in easier way

It's easy to connect AWS IOT + AWS IOT without coding knowledge. Start creating your own business flow.

  • Double Click

    Triggers when you double click on IOT Button.

  • Long Press

    Triggers when long press on IOT Button.

  • Single Click

    Triggers when you click on IOT Button.


How AWS IOT & AWS IOT Integrations Work

  1. Step 1: Choose AWS IOT as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick AWS IOT as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from AWS IOT to AWS IOT.

    (2 minutes)

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

Integration of AWS IOT and AWS IOT



Integration of AWS IOT and AWS IOT

Benefits of Integration of AWS IOT and AWS IOT


AWS IoT is a managed cloud platform that enables secure, bi-directional communication between Internet connected devices (such as sensors, actuators, embedded devices, or smart appliances. and the AWS Cloud. It is designed to support billions of devices and trillions of messages, from the tiniest of sensors to smart devices like mobile phones, cars, industrial machines and anything else that can benefit from the internet of things.

In order to understand how AWS IoT works, it is essential to understand the architecture and components of the platform. AWS IoT uses AWS CloudFormation to deploy resources in an AWS account. In addition, it relies on Amazon Kinesis and Amazon DynamoDB to store data and Amazon S3 for data storage.

Amazon Kinesis provides a fully managed service that scales elastically to support millions of applications and millions of transactions per second. It allows you to cplect, process, and analyze real-time streaming data. Amazon Kinesis can continuously capture data from many different sources such as web click stream data, website traffic logs, social media feeds, financial transactions, and more.

Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. Amazon DynamoDB lets you offload the administrative burdens of operating and scaling a highly available database cluster, so you don’t have to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling. With DynamoDB, you pay only for the throughput capacity that you actually use. There are no upfront commitments or minimum usage commitments. You simply pay for what you use when you use it.

Amazon S3 is a highly durable and reliable object storage service with industry leading scalability, security, and performance. With Amazon S3 you can upload and save your data to a service that offers server-side encryption using either server-side or client-side encryption keys.

In addition, AWS IoT uses MQTT to connect devices with each other and with the cloud; topics are used to publish device-generated data while subscribers are used to consume these messages. A topic is a logical channel that multiple subscribers can register with to receive published messages. Messages are published to a topic using an MQTT client such as AWS IoT Greengrass Core. A message consists of a topic partition in addition to an encoded message payload. Topic partitions allow publishers to correlate messages based on common values without requiring subscribers to join multiple topics. For example, if a temperature sensor publishes measurements related to temperature using AWS IoT Greengrass Core every minute, then the publisher could publish each measurement in the same topic partition named “temperature.” This allows subscribers to subscribe to topic “temperature” instead of creating separate topics for individual measurements. The publisher would then publish messages to the topic “temperature” using the partition “measurements/yearly/month/day/minute” which correlates the message values with time.

Figure 1 illustrates an example of how AWS IoT publishes messages using topics:

The process to integrate AWS IOT and AWS IOT 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.