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Monitoring: AWS IoT Analytics

AWS IoT Analytics is a fully-managed analytics service provided by Amazon Web Services (AWS) that allows customers to perform advanced analytics on data collected from Internet of Things (IoT) devices. AWS IoT Analytics enables users to preprocess, enrich, store, and analyze IoT data to generate insights, identify patterns, and build predictive models. With AWS IoT Analytics, users can easily process large amounts of data in real-time or batch and store it in a fully-managed data store. AWS IoT Analytics also provides advanced analytics capabilities, including SQL queries, visualizations, machine learning, and anomaly detection, allowing customers to quickly derive insights from their IoT data.

Why should you monitor AWS IoT Analytics?

AWS IoT Analytics collects, processes, and analyzes data from devices. If there are issues with the incoming data and processing or analyzing the data fails, you should be the first to know.

That’s why it is crucial to monitor AWS IoT Analytics.

Monitoring: AWS IoT Analytics

How does monitoring AWS IoT Analytics work?

Without further ado, marbot monitors AWS IoT Analytics. Here is what a notification delivered to a Microsoft Teams channel looks like.

AWS IoT Analytics alert in Microsoft Teams

And here is the same alert in Slack.

AWS IoT Analytics alert in Slack

How do you set up monitoring of AWS IoT Analytics?

marbot works with Slack and Microsoft Teams. Please select your platform and follow the Getting Started guide.

Which events does marbot monitor in detail?

marbot creates EventBridge rules to monitor the following events automatically.

Event Type Description
IoT Analytics Dataset Lifecycle Notification Get alerted if a dataset lifecycle fails.

More help needed? Or want to share feedback?

If you experience any issues, let us know.

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