Solutions - Evanios

Integrations
Noise Suppression
Cross-stack
Event Prioritization
Root cause
Predictive Analytics

Integrations

Connect all monitoring with your ITSM system

Visualize and manage IT health from a single platform
Packaged and supported integrations deploy quickly & easily with no code required
Open API support for CMD line, TCP/UDP, REST, SNMP, log file, and web service

Learn more Connect all monitoring with your ITSM system | Evanios

Noise Suppression

Eliminate alert fatigue

Reduce floods into a few relevant, actionable events
Filter, de-duplicate & correlate data from multiple sources
Consolidate based on event content, CMDB relationship data, occurrence time, preconfigured logic and machine learning algorithms
Group related events into parent-child relationships
No scripting required

Cross-stack

Recognize & prevent service impact

Remove the walls that separate domain teams
Collect events from APM, network, server, storage & infrastructure monitoring
Enrich all events with CMDB, Incident & change management data
Cross-stack contextual awareness informs actual & predicted impact, as well as root cause

Event Prioritization

Know where to focus your effort

Tunable machine learning algorithms, configured logic, historical context, CMDB relationships, and predictive traits reveal true event priority
Event prioritization based on numerical rankings are dynamically calculated in real-time
Numerical event prioritization is significantly more actionable and granular than standard “P1, P2” indicators
Prioritize your work: Evanios completely eliminates confusion about, and manual sorting through non-critical alerts

Root cause

Automate the detective work

Evanios finds and scores a small set of probable causes based on machine learning, historical probability, CMDB relationships, change management actions, automation actions, and temporal alignment
Understand failures, restore service quickly & prevent reoccurrence
Trigger automated remediation
Transparent conclusions are presented in intuitive visualizations with comprehensive details

Predictive Analytics

Advanced warning indicators

Configurable machine learning prevents service disruptions through accurate forecasts
Evanios automatically identifies hidden event patterns that typically lead to outages
Visualizations plot severity and time to failure while intuitive reports connect related attributes

Additional Features

High availability

Maintain visibility even if cloud connection is dropped

Service impact analysis

Identify and visualize actual or predicted service degradation

Incident creation

Correlate multiple events into single incidents and automate ticketing

Full transparency

No black box algorithms. Operators can easily see and extend AI logic

What people are saying

“With Evanios’ integrated ServiceNow solution we’ve made more significant process than ever before.”

Tony Taylor Sr. Director Infrastructure & Security, Land O’Lakes
“We chose Evanios to integrate SCOM, Nagios and Oracle Enterprise Manager into ServiceNow. Full implementation was simple (it took only a few weeks), and we immediately realized 25% reduction in events, 50% reduction of actionable incidents and a substantial decrease in manual hours spent working with our monitoring tools.”

Mike Sirtoff IT Manager, DeVry Education Group
“Customer service is exceptional. Technical support is exceptional; very fast response times and knowledgeable support staff.”

Nolan Smith Infrastructure Engineer 2, Asurion
“Some other integrations take weeks to build, setup, and test. This one you can basically use the out of the box settings and just edit a few fields and it will start generating tickets. I could not believe how easy this was.”

Steven Young Application Analyst, Greenville Health System

Predict and Prevent Service Impact

Utilizing machine learning algorithms, preconfigured logic, and ITSM contextual data, Evanios automatically reduces alert noise, prioritizes events, identifies root cause and predicts outages before they occur