Osso is an open project that makes it easy to communicate any operational event – from metric samples, to ad clicks, to log messages – between systems and processes, without the need for expensive parsing and translation operations. Rocana Ops uses Osso to efficiently move millions of events per second through various cleansing, transformation, enhancement, and analysis operations. Technologists can also integrate their own custom event processing modules directly into Rocana’s event processing pipeline using the Osso standard.
The open Apache Hadoop framework makes it possible to economically manage data at petabyte scale using commodity x86 hardware. Built-in data redundancy and fault tolerance capabilities also enable Hadoop to provide extremely high levels of system and data availability. Rocana Ops’ central event data warehouse is powered by several core Hadoop ecosystem components, including HDFS. Rocana Ops stores data in Hadoop using open formats to ensure that data always remains accessible.
Apache Kafka is an open source, highly scalable publish-subscribe messaging system that guarantees data delivery, even under adverse conditions – such as a network outage or unexpected spike in event volume. Rocana Ops uses Kafka to ensure that the millions of operational events captured every second across a distributed IT environment actually arrive at Rocana Ops’ central event data warehouse. Moreover, any third party or custom system can send event data directly to Rocana Ops simply by plugging into the Kafka backbone.
The Apache Avro project provides an open, high performance serialization protocol that enables senders and receivers to encode and decode messages correctly. Crucially, Avro also includes a schema evolution mechanism so that different versions of Avro senders and receivers can still communicate. Avro gives Rocana Ops rolling upgrade support. As a result, administrators can easily plug new data sources into Rocana Ops without having to upgrade the rest of the system or worry about version dependencies.
- 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.