Learn how IT Ops and APM professionals use anomaly detection software every day to help them cut through overwhelming false alerts, reduce troubleshooting time, and automatically detect potential problems before they spiral into major user issues.
By leveraging machine learning and behavioral analytics, anomaly detection can quickly determine a "normal" baseline from months of past data, and immediately and automatically identify any abnormalities - more accurately and efficiently than writing alert rules ever could.
Get this great eBook from ITOA Landscape on a collection of game-changing insights from 7 of the brightest thought leaders in IT Operations Analytics and how impacts common use cases facing IT management today.
This 7 page academic paper shows how the analytics and statistical methods behind anomaly detection solve the problems behind accurate application performance monitoring by enabling faster and more accurate results than traditional monitoring methods.
This 2013 survey highlights APM user key challenges, common technologies and best practice recommendations. Use this online study to build justifications or compare your organization to peers.
This 2013 Market Radar report is Enterprise Management Associates' comparison of 22 advanced analytics vendors' product strengths. Get your free copy courtesy of Prelert!
This whitepaper by analyst and frequent contributor to ZDnet covers the benefit and need for automated anomaly detection analytics in Splunk environments.
Learn how advances in machine learning software improve APM data usability and IT expert productivity while eliminating the need for KPI, thresholds or alert rules, and providing real-time root cause analysis.
Anomaly Detective can help IT professionals say goodbye to writing rules and thresholds and still be more efficient and effective at finding problems and threats before they impact the business.