Legacy automation solutions often constrain you to a limited set of simplistic trigger conditions on a narrow technology stack. In contrast, Rocana Ops’ Reflex capability enables you to intelligently automate actions (e.g. opening a support ticket) in response to both predefined and learned conditions from across your IT environment – such as when a system is behaving two standard deviations outside its normal operating behavior. You can even automate actions in response to complex combinations of conditions from multiple systems.
Seeing everything is one thing. Analyzing and intelligently reacting to that information in real time is something else. This is where Rocana Ops’ highly scalable and performant architecture makes all the difference. As new information streams in – even at a rate of millions of events per second, Rocana Ops can easily check if there’s a match with any trigger rules you may have defined. If so, Rocana Ops can leap into action – literally within moments of the stimulus having occurred.
With Rocana Ops, automating reactions never means losing control. Define as many triggers as you wish against almost any condition that you can imagine. You also get to define actions for each trigger – be it sending a notification email, opening a support ticket via ServiceNow or PagerDuty, provisioning additional capacity on Amazon Web Services, or just about anything that’s possible using a REST API. Everything is fully logged which means you always know what actions Rocana Ops performed on your behalf and why.
- 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.