Anomaly Detection

AIMS Anomalies leverage AI and machine learning to provide early notification of IT issues that can bring down your business.

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AIMS Concept Anomaly i_o

 

Leverage Anomaly Detection

The data normalization and topology discovery should be seen as the pre-processing and context support for the anomaly engine.

The anomaly engine learns the behavior of your business based on thousands of performance metrics and identifies anomalies that impact your business.

 

E-book: Anomaly detection in IT Operations

Anomaly Detection is a fundamental requirement to succeed in IT Operations as the IT complexities keep increasing.

In this e-book, we deep dive into the key components,  variants, fundamental differences between approaches, and conclude with what you need to consider before implementing Anomaly Detection.

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  • What Anomaly Detection is.
  • Why do you need it?
  • Understand the fundamental capabilities, differences, and approaches.
  • What you should consider when evaluating your Anomaly Detection platform.

AIMS learning behaviour

Learn normal behavior patterns and auto-detection of deviations

AIMS automatically builds and continuously updates normal behavior patterns for each of your performance metrics.

This allows dynamically setting alerting thresholds based on the actual cyclical behavior of your business - represented by thousands to millions of metrics. These patterns represent a high-resolution digital DNA of your business and allow you to detect deviations in real-time.

Understand performance and business impact

Anomalies are triggered based on a set of criteria including relative deviation vs expected behavior, a climb rate of behavior, how fast the situation escalates, and the number of metrics that show correlated deviations. 

The Anomaly shows each metric deviation, the system impacted, the time it started, the relative deviation vs expected behavior which allows you to easily understand the cause and impact.

AIMS performance
AIMS anomaly timeline

View Anomaly Timeline

The Anomaly Timeline view allows you to understand the sequence of deviations occurring.

Anomaly Timeline allows you to easily identify the originating deviation and the follow-on consequences and escalation.

Everything you need to know about Anomaly Detection

Read the ultimate guide to implementing Anomaly Detection

Get started with AIMS in minutes

1
Sign up for the free-forever Community Edition
2
Watch as AIMS AI learns your topology and normal behavior patterns
3
Get insight to improve your business

Gain critical insights in real-time

AIMS' modern IT monitoring solution leverages machine learning and AI to automate installation, configuration, insights and alerting while delivering time-to-value in hours and days - not weeks and months.

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Feed any time-series data

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Data normalization

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Topology discovery

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Dashboards and analytics