Devo's Machine Learning capabilities can be used to monitor and model time series metrics to accurately identify, score, and alert on anomalies. Learn more at http://www.devo.com
The Quick Modeler just one component of the ML Workbench, a suite of tools designed to bring Machine Learning and Data Science Solutions to Life on the Devo Platform. Learn more at http://www.devo.com
Multi-metric Time Series Anomaly Detection is a powerful Devo capability that enables IT operators to understand and gain a broad view of their ecosystem at a glance by leveraging ML. Learn more at http://www.devo.com
SecOps professionals must draw insight from both traditional security data and business data to effectively secure the enterprise. With Devo, you can enable your analysts with the visibility, speed, and practitioner-led workflows they need.
The Devo Data Operations Platform makes data management easier for administrators and end users alike. Several key design decisions make this a reality: 1) No traditional index 2) All data stored hot 3) No parsing data at ingest.
Inside Devo, everything is parallelized and optimized. This enables us to provide blistering-fast ingest and query performance at petabyte scale with no compromises.
In this video we will analyze the DNS traffic of a company to check whether the Internal Cache DNS Servers are resolving names correctly and accessing external Authoritative and Root DNS Servers in the most optimal way.
This video explains how to monitor Unix systems with the Devo Monitoring package, how Devo organizes these logs and how to activate the System Monitoring Application to evaluate the activity of Unix systems and configure alerts.
Want to harness all your machine data to gain an operational advantage? Devo won't slow you down as you scale. Learn why our approach to machine data is fundamentally different.
How to monitor Windows systems with the Devo Windows Agent and how Devo organizes these logs and distributes them automatically into their appropriate tables.