When you can’t alert on conditions you care about, the outcome could be a disaster. Conversely, blindly alerting on every condition causes noise and operator fatigue. Avoid both extremes with Rocana Ops' event alerting and orchestration system. Define alerts on critical parameters anywhere in your environment. You can even trigger alerts based on conditions uncovered by Rocana Ops' built-in anomaly detection feature. The result is less distracting noise and, more importantly, less risk of being blinded by issues you didn’t see coming.
Minimizing end user disruption means IT operators must triage and address critical alerts quickly. Not an easy task when unsorted, unprioritized alerts keep pouring in 24x7. Rocana Ops can help by providing first responders with an aggregated, sorted, interactive view of all alerts correlated by time. Zero-in on the alerts that should be investigated first – at a glance. Quickly filter and drill down to alert details, status updates, and more. Track alerts across their entire lifecycle with ease.
Juggling multiple alert systems with different interfaces and workflows is both error prone and inefficient. Let Rocana Ops provide your IT team with a single, unified alert experience instead. With Rocana Ops, you can both consolidate and eliminate legacy alerting mechanisms and dashboards throughout your entire IT operations center. Included open API capabilities also make it easy to integrate with popular 3rd-party support ticketing systems including ServiceNow and PagerDuty.
- Rocana has built a platform that can handle very large volumes of operations data, a capability that sets it apart from competitors and should appeal to large enterprises… In delivering automation capabilities relatively early compared with rivals, Rocana can lead the way in demonstrating how automation can improve performance for businesses.
- Today’s CIOs and IT leaders are increasingly responsible for driving business outcomes in a world of ever increasing data volumes and data sources. Rocana was selected for the Ventana Research Technology Innovation Award for its innovative approach to achieve total visibility across IT and business data, using big data and advanced analytics to help IT teams identify anomalies, improve customer experience, and increase security and compliance.
- Companies that adopt modern infrastructures are learning that their IT operations generate huge amounts of potentially valuable data. But many traditional IT tools aren’t able to effectively scale so that businesses can efficiently retain and analyze that information. The result is a missed opportunity for enterprises to glean important business and IT insight from their operational data.
- Wikibon research shows that IT organizations routinely fall into the trap of relying on automation tied to specific products, each in control of its own data, which can severely limit operational visibility. It's time for companies to adopt approaches that increase business opportunities by applying operational data across platforms to multiple classes of hard problems.
- Operational visibility is a tricky business. Having that level of data oversight really can make a difference in how IT can contribute to the top line. Contributing to the business – rather than just supporting the business – should be the goal of IT in terms of relevance in today's environment.
- With rising complexity you need to make sense of data - operational analytics is the key.
- IT analytics lets you manage this complexity by turning Big Data inward.
- As scale and complexity increase with companies moving to the cloud, to microservice architectures, and to transient containers, monitoring needs to go back to school for its Ph.D. to cope with this new generation of IT.
- An application that makes it easier to keep data centers up and running could become the 'killer app' for Hadoop because as companies become more dependent on large-scale customer-facing apps, it’s critical that they be reliable and scale predictably.
- The operational data explosion has sparked a sudden and significant increase in demand for IT operations analytics (ITOA) systems.