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.
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.
And here is the same 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. |
Chatbot for AWS Monitoring
Configure monitoring for Amazon Web Services: CloudWatch, EC2, RDS, EB, Lambda, and more. Receive and manage alerts via Slack. Solve incidents as a team.
