1 00:00:00,120 --> 00:00:01,830 ‫So here is a quick lecture 2 00:00:01,830 --> 00:00:05,520 ‫on the service named AWS Cost Anomaly Detection. 3 00:00:05,520 --> 00:00:07,650 ‫And the name is quite explicit this time. 4 00:00:07,650 --> 00:00:10,830 ‫So this continuously monitors your cost and usage data, 5 00:00:10,830 --> 00:00:14,760 ‫and it will use machine learning to detect unusual spends. 6 00:00:14,760 --> 00:00:16,080 ‫So it's going to learn from you. 7 00:00:16,080 --> 00:00:19,050 ‫It's going to learn your unique historical patterns, 8 00:00:19,050 --> 00:00:22,170 ‫and then it will detect one-time cost spikes 9 00:00:22,170 --> 00:00:25,110 ‫and/or continuous cost increases. 10 00:00:25,110 --> 00:00:26,550 ‫And you don't have to define anything, 11 00:00:26,550 --> 00:00:28,050 ‫you don't have to define thresholds. 12 00:00:28,050 --> 00:00:31,050 ‫It just knows on its own what looks a little bit weird. 13 00:00:31,050 --> 00:00:34,140 ‫So it's going to monitor for your AWS services, 14 00:00:34,140 --> 00:00:37,320 ‫your member accounts, your cost allocation tags, 15 00:00:37,320 --> 00:00:39,330 ‫and your cost categories. 16 00:00:39,330 --> 00:00:42,000 ‫And it will send you an anomaly detection report 17 00:00:42,000 --> 00:00:43,440 ‫with the root cause analysis 18 00:00:43,440 --> 00:00:46,140 ‫of what is happening in your account. 19 00:00:46,140 --> 00:00:49,950 ‫You can get notified by either using individual alerts 20 00:00:49,950 --> 00:00:53,820 ‫or a daily or weekly summary that leverages SNS. 21 00:00:53,820 --> 00:00:56,070 ‫So to summarize, using machine learning, 22 00:00:56,070 --> 00:00:58,260 ‫you can have a look at your cost, 23 00:00:58,260 --> 00:01:01,920 ‫you can get alerted and quickly analyze the root cause, 24 00:01:01,920 --> 00:01:06,240 ‫all of using the AWS cost anomaly detection service. 25 00:01:06,240 --> 00:01:07,110 ‫Okay, that's it. 26 00:01:07,110 --> 00:01:08,130 ‫I hope you liked it, 27 00:01:08,130 --> 00:01:10,203 ‫and I will see you in the next lecture.