ServiceNow IT Operations Management (ITOM) is uniquely powerful when Event Correlation Monitoring and ITOA are seamlessly integrated.
Evanios will eliminate unnecessary alerts, low-level manual decision making and back-and-forth communication between disparate groups. Because Evanios is built natively on the IT Service Management (ITSM) platform, it can extend your capabilities far beyond event and incident management.
But it’s important to recognize that the first step toward automation and advanced, actionable analytics is actually the initial data ingestion.
Many enterprise organizations are looking toward ServiceNow ITOM for features like predictive analytics – and with good cause; this kind of AI-driven functionality can help identify leading indicators and prevent outages before they occur. However, initial data ingestion plays a critical role in the usefulness of upstream analytics.
Said simply, you need to “clean up” and standardize your integrations in order to truly leverage higher end processes. Even more to the point would be the expression “Garbage in, garbage out.”
To eliminate the scenario where you throw false positives and/or miss critical information, Evanios’ ServiceNow ITOM software offers dozens of pre-packed and supported integrations. Additionally, our open API supports CMD line, TCP/UDP, REST, SNMP, log file and web service. Further, Evanios uses a standardized Common Event Format to ensure that similar alerts can be related to each other, deduplicated and correlated with high accuracy. Importantly, Evanios also maintains all original source event data directly within the ServiceNow platform. Through a combination of pre-packaged rules and extensible machine learning algorithms, our event processing engine automates root cause analysis. Comprehensive data is presented right within the event (or ServiceNow Incident) ITOM ServiceNow console – where your operators are doing their work.
Plus, Evanios is transparent. We don’t use “black box” technology that leaves operators wondering whether they can and should trust the system’s recommendations. Instead, you’ll see a cumulative numerical score associated with every event and incident, and you can easily drill down to see where the scoring comes from. It’s a combination of context analysis (which includes CI attachments, affected business services, etc.) and predictive forecast derived from similar historical data.
“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.”
“Working in the event management space for well over a decade, I can honestly say that I have never had a product integration go so smoothly and perform exactly as expected. The Evanios integrations and event management products have been the absolute best products I’ve encountered and a pleasure to use.”Steele Smith
“With Evanios’ integrated ServiceNow solution we’ve made more significant process than ever before.”Tony Taylor
“Evanios filters, de-duplicates and correlates events so well that we are seeing exactly what we hoped for: reduced incidents, fewer tickets, better routing and far greater accuracy resulting in much better response rates.”John Bitzer
Scoring is a particularly unique part of the Evanios methodology. After ingesting events, metrics and log files from any source, the processing engine correlates with ITSM processes (e.g. Change Management, CMDB, Incident) to gain a better understanding of the true business impact and potential severity of events. While most “event management” systems categorize events and incidents broadly (e.g. based P1/P2, etc.), Evanios assigns a specific numerical score to every event – and the total score rolls up to the incident level, too. The advantage here is an absolutely clear indicator of which events and incidents pose the greatest threat. Based on the score, you can automate workflows, trigger notifications, and improve the meaning of your visualizations. Because Evanios is an open, transparent system, your operators will understand exactly why events and incidents are scored as such. Additionally, Evanios maintains all source data when normalizing events. This means that you can easily look deeper into the originating event data from the Evanios console, without having to “swivel chair” to another monitoring dashboard. The whole system is designed to improve both “find and fix” and “repair” time – and it does so out of the box, without having to run months (or years) worth of training data. it’s another reason why ServiceNow ITOM capabilities from Evanios make so much sense.