Homepage Rankings and Research Companies Channelcast Marketing Matters CRNtv Events WOTC NetApp Digital Newsroom WatchGuard Digital Newsroom Cisco Partner Summit Digital 2020 HPE Zone The Business Continuity Center Enterprise Tech Provider Masergy Zenith Partner Program Newsroom Hitachi Vantara Digital Newsroom IBM Newsroom Juniper Newsroom Intel Partner Connect 2021 Avaya Newsroom Experiences That Matter The IoT Integrator NetApp Data Fabric Intel Tech Provider Zone

The 10 Coolest New AWS Tools Of 2021 (So Far)

CRN highlights some of the top new Amazon Web Services products and services to watch this year.

Back 1   2   3   ... 11 Next

AWS Cost Anomaly Detection

AWS Cost Anomaly Detection provides automated cost anomaly detection and root cause analysis to help customers monitor their AWS cloud spending and reduce the risk of billing surprises.

It uses a multi-layered machine learning model that learns customers’ unique, historic AWS spending patterns to detect one-time cost spikes and/or continuous cost increases. Customers don’t have to define anomaly thresholds, as AWS’ learning models automatically will determine them. They can view every anomaly detected in a detection history tab, and AWS sends anomaly detection reports with root-cause analysis that includes the account ID, the service that’s responsible for the anomaly, the severity, duration, etc.

Customers can create their own contextualized cost monitors to define the spend segments they want to evaluate and receive alerts with just three simple steps, according to AWS.The four types of cost monitors are individual AWS services, linked/member accounts, cost allocation tags and cost categories. Customers can customize the alert threshold and frequency, along with alert recipients.

As customers evaluate the anomalies detected, they can submit assessments that will further train the machine learning models so they are tailored to their specific spend patterns.

Back 1   2   3   ... 11 Next

sponsored resources