Enterprise IT organizations use numerous monitoring tools (system, database, application performance, etc.). While each of these may be necessary, the cumulative effect is usually an overabundance of alerts, incidents and tickets. Meanwhile, many of these same companies also use discovery tools to determine relationships between components. Using disparate technologies for monitoring and CMDB makes integration challenging. There’s a better way to approach ServiceNow alert correlation and analysis.
Evanios unifies monitoring, alerts and event management directly on the ServiceNow platform, making it easy to bridge the gap between the CMDB and monitoring without coding or complexity.
Our approach to ServiceNow alert correlation and analysis includes configured logic and machine learning. Evanios normalizes data into a common event format, filters unwanted alerts close to the source, deduplicates similar events using flexible criteria, provides robust event correlation capability (based on CMDB topology, time, and event content), and leverages packaged algorithms to prioritize events that are most likely to affect services.
Evanios provides complete visibility into the health of IT services by integrating all the data from disparate monitoring tools in ServiceNow, unifying visualizations, and setting the stage for correlation and automation to reduce operational cost and MTTR.
Evanios will dramatically reduce noise through deduplication and correlation algorithms, allowing operations teams to focus on critical events.
You will be able to correlate events based on a variety of use cases. Flexible, packaged knowledge is configurable through a simple form based interface, requiring no coding. Actions can be triggered on incoming alerts, including consolidation of multiple events into single, more meaningful incidents.
“We have the challenge of making sure that we become much more proactive. AI and the capabilities of Evanios are absolutely critical.”
Eveline Oehrlich
“The Evanios approach is to fully integrate event management, automated incident resolution, predictive analytics and monitoring directly into a unified workflow. The result is an intuitive and seamless model that enables IT organizations to move past the arbitrary separation between event and incident management and instead focus on the management of services from a business value perspective.”
Charles AraujoPredictive Analytics is a valuable extension to event correlation. Using machine learning to prevent service disruptions, Evanios will:
Learn more about ServiceNow alert correlation and analysis from Evanios. We will gladly provide consultations, full demonstrations and proof of concept for qualified customers.
