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AWS

AWS: Lookout for Metrics Overview

By Jonathan Collins
April 21, 2021

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    AWS has made available Amazon Lookout for Metrics, a service that uses machine learning to automatically monitor various metrics across business and operational data, detect anomalies and alert the user so they can take appropriate action.

     

    Lookout for Metrics automatically inspects various cases such as sudden dips in sales revenue, customer acquisition rates, web page views, active users, high rates of abandoned shopping cart transaction volume, and mobile app installations. In a couple of clicks AWS customers can connect Amazon Lookout for Metrics to popular data stores like Amazon S3, Amazon Redshift, and Amazon Relational Database Service (RDS), as well as third-party SaaS applications, such as Salesforce, ServiceNow, Zendesk, Marketo, and start monitoring metrics that are important to your business.

     

    Amazon Lookout for Metrics has a few key benefits such as:

     

    • Detect anomalies with better accuracy
      Amazon Lookout for Metrics uses machine learning to accurately detect anomalies in business metrics and reduce false positives. You can provide feedback on detected anomalies to tune the results and continuously improve accuracy and control.
    • Diagnose root cause faster
      Amazon Lookout for Metrics makes it easier to diagnose the root cause of important anomalies by automatically grouping related anomalies together, summarizing potential root causes, and ranking them in the order of severity.
    • Easily integrate popular data sources and SaaS applications
      Amazon Lookout for Metrics connects seamlessly to popular AWS databases and provides pre-built connectors to third-party SaaS applications. You can get started monitoring metrics and detecting anomalies in just a few clicks.
    • Automate customized alerts and actions
      You can easily connect Amazon Lookout for Metrics with event and notification services like Amazon Simple Notification Service and AWS Lambda to automate customized alerts and actions when anomalies are detected, such as filing a trouble ticket.

     

    Once Lookout for Metrics begins returning results, users could then provide feedback on the relevancy of detected anomalies via the Lookout for Metrics console or the API provided. The service uses this feedback to continuously improve its accuracy over time, said AWS.

    Lookout for Metrics is available now in several AWS Regions in the US, Europe and Asia. More details are available on the AWS Machine Learning blog.

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    About Author
    Jonathan Collins

    Jonathan has worked in enterprise technology for over a decade - With a real passion for understanding cutting-edge technology and the latest IT innovations, his aim is to help organisations serve more customers, build better relationships, streamline operational processes, improve user's efficiency and deliver business continuity across the technology landscape. This is achieved by offering top-tier consultancy at the initial engagement stage. By understanding the clients buying criteria, effectively ensures that the right architectural base solution is delivered for the right commercial value while making sure that the board of Directors can see a significant return on their investment.

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