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AWS IoT Events for Asset-based Monitoring

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Overview of IoT

IoT (Internet of Things) technology is employed in a wide range of industries, from small businesses to large corporations. It enables the company to advance to the next level by monitoring equipment, collecting real-time data, and sending it to the cloud. End users will be able to access data from the cloud via web and mobile applications.

Numerous data events get generated during real-time device monitoring, such as temperature exceeding the set value threshold, high pressure being deducted, or some anomaly operation taking place. When such situations occur, action should be taken as soon as possible to prevent further damage.

Introduction to AWS IoT Events

AWS provides the AWS IoT Events service to monitor these types of events. In this blog, we will discuss what AWS IoT Events are, as well as their benefits and use cases.


AWS IoT Events allows us to monitor your device fleets or equipment failures or changes in operations and to initiate actions when these events take place. AWS IoT Events constantly monitors Smart sensors data from the device, activities, applications, and other AWS services to detect noteworthy events and alert you to them so you may take appropriate action.

We may easily establish AWS IoT Events using the AWS IoT Events APIs or the AWS Console to perform the monitoring of complicated events and trigger other services to notify users.

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Benefits and Features

  • Accept Input from a Variety of Sources:

AWS IoT Events takes data from a variety of IoT telemetry sources. smart   Sensor devices, business applications, and other AWS IoT services, such as AWS IoT Analytics and AWS IoT Core, are examples. You can use a standard API interface to publish any telemetry data input to AWS IoT Events (BatchPutMessage API).

  • Events Can Trigger Actions:

AWS IoT Events allows you to directly trigger actions in AWS IoT Core, Amazon SNS (Simple Notification Service), Amazon Simple Queue Service (Amazon SQS), Lambda, and Amazon Kinesis Firehose. AWS IoT Events includes a prebuilt library of actions as well as the ability to define your own.

  • Recognize Complex Patterns of Events Using Simple Logical Expressions:

AWS IoT Events can recognize patterns of events involving many inputs from a particular IoT device or application, as well as from different equipment and numerous independent sensors. This is critical because individual sensors or applications generate a large amount of high-priority data. However, when we combine all sensors and application data, we will get a complete view of performance. We can easily deduct complex events by simple logic expressions using complex code.

  • Scale Automatically to Meet Your Fleet’s Demands:

When you connect similar devices, AWS IoT Events automatically scales. You can set up a detector once for a certain type of device, and the service will scale and handle all variants of that device that connected with AWS IoT Events automatically.

AWS IoT Events Use cases

  • Remote Devices Monitor and Maintain:

You must keep track of a fleet of remotely installed equipment. If one quits working and you do not know what is causing the malfunction, you may have to repair the complete processing unit or system right away. This, however, is not viable. With AWS IoT Events, you may receive inputs from various sensors on every machine and use the technical errors that are sent over the period to pinpoint the specific problem. Technicians can investigate the specific part of the machine that is causing the problem, this will help to save money and time on maintenance.

  • Monitoring Building Automation Systems:

In general, data centers have many servers that are up and running 24 hours a day, seven days a week, resulting in significant heat dissipation and an increase in temperature and low humidity above the threshold set points if the sensors are failed to do the automation. The sensors used may be from different vendors, making it difficult to find the problem that which sensor is not working properly. However, by using AWS IoT Events, we can specify the sensor type and threshold detection, which will help us find the problem and fix it quickly.

  • Control Industrial Robots:

The packaging and logistics industries employ multiple robots. These robots are equipped with numerous sensors and actuators that will transmit real-time data to the cloud. It is tough to pinpoint the source of a failure in a specific sensor on a robot.

You may design an expert system that interprets sensor data in the cloud and generates alerts to automatically warn the engineering team if a failure is approaching using AWS IoT Events.


As a result, AWS IoT Events assists in notifying users of events from multiple IoT devices, allowing consumers or businesses to swiftly detect and resolve issues. AWS IoT Events provides low-cost, quick-response, and less time-consuming problem detection and notification.

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About CloudThat

CloudThat is the official AWS (Amazon Web Services) Advanced Consulting Partner and Training partner and Microsoft gold partner, helping people develop knowledge of the cloud and help their businesses aim for higher goals using best in industry cloud computing practices and expertise. Our blogs, webinars, and case studies enable all the stakeholders in the cloud computing sphere.

Drop a query if you have any questions regarding the AWS IoT Events, real-time monitoring, or any other cloud services, and I will get back to you quickly. To get started, go through our Consultancy page and Managed Services Package that is CloudThat’s offerings.


1. What are the benefits of using AWS IoT Events?

ANS: – AWS IoT Events enables us to monitor your device fleets, equipment failures, and operational changes and to act when these events occur.

2. What are the applications of AWS IoT Events?

ANS: – Industrial robots, Remote Devices Monitor and Maintain, Monitoring Building Automation Systems

WRITTEN BY Vasanth Kumar R

Vasanth Kumar R works as a Sr. Research Associate at CloudThat. He is highly focused and passionate about learning new cutting-edge technologies including Cloud Computing, AI/ML & IoT/IIOT. He has experience with AWS and Azure Cloud Services, Embedded Software, and IoT/IIOT Development, and also worked with various sensors and actuators as well as electrical panels for Greenhouse Automation.



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