‫So here is a quick lecture
‫on the service named AWS Cost Anomaly Detection.
‫And the name is quite explicit this time.
‫So this continuously monitors your cost and usage data,
‫and it will use machine learning to detect unusual spends.
‫So it's going to learn from you.
‫It's going to learn your unique historical patterns,
‫and then it will detect one-time cost spikes
‫and/or continuous cost increases.
‫And you don't have to define anything,
‫you don't have to define thresholds.
‫It just knows on its own what looks a little bit weird.
‫So it's going to monitor for your AWS services,
‫your member accounts, your cost allocation tags,
‫and your cost categories.
‫And it will send you an anomaly detection report
‫with the root cause analysis
‫of what is happening in your account.
‫You can get notified by either using individual alerts
‫or a daily or weekly summary that leverages SNS.
‫So to summarize, using machine learning,
‫you can have a look at your cost,
‫you can get alerted and quickly analyze the root cause,
‫all of using the AWS cost anomaly detection service.
‫Okay, that's it.
‫I hope you liked it,
‫and I will see you in the next lecture.