About Rocana Ops
Rocana Ops is built to manage and intelligently analyze event-oriented machine data for large-scale infrastructures – ones that generate 1TB of data per day and more.
Built on open architecture, Rocana Ops integrates easily with third-party applications using open data formats and protocols. Data is ingested and monitored in real time, available for analysis and query within a second from generation.
Anomaly detection is one of the most critical elements in a modern IT Operations monitoring solution. At Rocana, we’ve built algorithms specific to the types of time-series data you see in modern infrastructures.
The anomaly detection system analyzes 100,000’s of metrics per second, comparing those data points to expected values determined from dynamic, data-driven models. With severity ratings, WARN scores, and purpose-built visualizations Rocana not only identifies issues, but also helps you to understand where to focus your efforts.
Rocana Ops guides IT operators to the root cause of any problem with a rich set of data visualizations, featuring faceted search, peer comparison, swim-lane views, and component-specific metrics.
These purpose-built interactive visualizations are driven by an underlying analytics engine, which uses advanced machine-learning techniques to surface anomalies issues throughout the entire environment.
Event Data Warehouse
Rocana Ops is built on next-generation data management technologies, creating a highly scalable, message-oriented architecture.
Using the Apache Kafka open source message broker at its core, Rocana reads from the broker using several consumers to process the data, put it back on the bus, and push it downstream to long-term storage on HDFS, for real-time and future search and visualization. All event data is stored in open formats including Apache Avro and Apache Parquet, so that other applications can readily access the data at any point in the event flow. Rocana includes rich Java and REST APIs, making custom development and integration with other applications seamless.
Data is collected from the full range of infrastructure components – web servers, app server, databases, networking equipment, and more. Best, the data collection mechanism is fault tolerant, so you can be assured that all the data you need is being collected.
Rocana Ops supports common logging mechanisms, such as syslog, Log4j, file tailing, and directory spooling. Additional log sources can be integrated via a straightforward API.
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|Categories||DevOps and Orchestration > Application and Infrastructure Monitoring|
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