Modern businesses in e-commerce, banking, insurance, manufacturing and many other areas generate huge amounts of data every day. Effectively utilizing that data helps increase business value by making the right decisions at the right time based on insights generated from targeted data analytics. The Anomaly Detection Accelerator is real-time cloud based solution. It is designed and applicable to the most common use cases: monitoring, root cause analysis, data quality, and intelligent alerting. The solution is AI driven and implements a flexible approach based on normal state and behaviour patterns extraction, but does not rely on purely statistical methods. Therefore it can catch not only suddenly occurring outliers but can also reveal changes in the distribution of very noisy data. The solution is configurable for various types of components and services and detects abnormal behaviour in networks of connected services and collected data profiles. It can visualize abnormal places and make intelligent notifications based on them and provides tools for further deep analysis and RCA. Each component produces system and application logs and usually collects system and application metrics through metric collection agents. In addition, data itself may contain important information that represents the state or behaviour of a service, process, or user. Accelerator covers following use-cases: monitoring and root cause analysis, data quality anomaly detection, intelligent alerting. CloudFormation link: https://griddynamics-analytical-data-platform-releases.s3.amazonaws.com/platform/1.4.0-marketplace/cloudformation/l2/case-dagster.yaml