Circonus Introduces Analytics Query Language
November 12, 2015
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Circonus announced the availability of Circonus Analytics Query Language (CAQL) for customized analytics that deliver deep operational and business intelligence.

Optimizing IT operations is becoming a Big Data problem for more organizations as the amount of data generated from operations, engineering, customers, and the rest of the business explodes. Tackling this problem and moving beyond to turn it into a competitive advantage requires the next generation of IT monitoring and management fueled by analytics and machine learning tools that can quickly process massive amounts of data to deliver actionable intelligence.

“Circonus is committed to equipping our customers with everything they need to win in today’s competitive digital world,” said Heinrich Hartmann, Chief Data Scientist for Circonus. “We hope CAQL will be an invaluable tool for them - flexible enough to allow them to ask any question they can think of and powerful enough to quickly glean the insights hidden in a massive amount of their own data.”

“"With CAQL, Circonus extends its advanced analytics offerings even more,” said Matt Ryanczak, VP Technical Operations, Sparkpost/Message Systems.” Now, I can dive deep into my data and display precisely the information that helps me run the business."

Example Applications of CAQL:

- Compare metrics to historic values with delayed ratios

- Compute the Availability-% over e.g. the last day

- Find anomalies in low-frequency data

- Monitor SLAs by computing quantiles and rates over Histogram metrics

“Every business is unique,” said Hartmann. “CAQL allows customers to generate their own queries, tailored to their own business needs, for complex transformation of collected data. You can fine-tune visualizations and derive more information from your data.”

CAQL is available now.

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