Best Log Management Software for AWS IoT Core

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Compare the Top Log Management Software that integrates with AWS IoT Core as of October 2025

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This a list of Log Management software that integrates with AWS IoT Core. Use the filters on the left to add additional filters for products that have integrations with AWS IoT Core. View the products that work with AWS IoT Core in the table below.

What is Log Management Software for AWS IoT Core?

Log management software is an efficient way to help organizations keep track of their data and ensure that it remains secure. Logs are a record of activities, such as access attempts, system configuration changes, and security-related events. By monitoring these logs, organizations can detect malicious activity and take corrective action more quickly. Log management software helps companies store log data in a centralized repository for easier analysis, thus reducing the time required to investigate and respond to incidents. Additionally, log management systems provide advanced analytics capabilities that allow users to easily identify trends or suspicious patterns across multiple sources of data. Compare and read user reviews of the best Log Management software for AWS IoT Core currently available using the table below. This list is updated regularly.

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    AWS CloudTrail
    AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. With CloudTrail, you can log, continuously monitor, and retain account activity related to actions across your AWS infrastructure. CloudTrail provides event history of your AWS account activity, including actions taken through the AWS Management Console, AWS SDKs, command line tools, and other AWS services. This event history simplifies security analysis, resource change tracking, and troubleshooting. In addition, you can use CloudTrail to detect unusual activity in your AWS accounts. These capabilities help simplify operational analysis and troubleshooting. Detect unauthorized access using the Who, What, and When information in CloudTrail Events. Respond with rules-based EventBridge alerts and automated workflows. Continuously monitor API usage history using machine learning (ML) models to spot unusual activity in your AWS accounts, and determine root cause.
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