Company Is Seeing Increased Industry Demand for Machine Data Intelligence Solutions That Can Handle Extreme Data Volume, Frequency, and Scale

Circonus, provider of the first machine data intelligence platform built to handle the volume and frequency of data seen in today’s global IT infrastructure and IoT deployments, announced it is experiencing significant momentum at the start of 2020, as more enterprises seek out a solution that can underpin their digital transformation initiatives.

At the end of 2019, the Company launched its machine data intelligence platform to enable enterprises to collect, store, and analyze vast amounts of data from sensors, systems and connected devices to gain extraordinary business insight and intelligence. In January 2020, the Company announced it had brought on serial entrepreneur Bob Moul as CEO and that it had raised a $6.8M Series A1 investment led by Osage Venture Partners to help accelerate its sales and marketing efforts.

Circonus is also seeing an increased demand for its machine data intelligence platform across multiple industries, with customers such as Joyent, SparkPost, SmugMug, Venmo, and Major League Baseball leveraging the solution. Sales for the fourth quarter of 2019 more than doubled year over year.

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“With Circonus we have been able to merge application performance modeling with SLOs, Kubernetes monitoring, and traditional network and hardware monitoring at high (and growing!) scale,” said Riley Berton, Principal Site Reliability Engineer, Major League Baseball.  “The richness of this high frequency data allows us to understand user and systems behavior with a level of detail we haven’t experienced as an organization before now.  The ability to perform real-time analysis on billions of data points drives how we think about, and debug, performance for millions of baseball fans. Combined with a monitoring-as-code approach, our engineers get all of this delicious data out of the box with little to no time spent.”

“Our customers have zero tolerance for latency, and any second of downtime is money lost in terms of time and productivity,” said Don MacAskill, CEO & Chief Geek, SmugMug.  “We were able to leverage Circonus’ histogram technology to assess and analyze our service delivery, helping Flickr deliver photos about 25 percent faster today than it did last year.”

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The Circonus Platform is built to handle real-time fault detection, anomaly detection, and predictive analytics at unprecedented scale—in the cloud, on-prem or in hybrid environments. Unique in its ability to ingest, compress, store, manage, and analyze extremely high-volume data from a single platform, enterprises benefit from powerful machine data intelligence, enabling them to deliver better value to their customers.

“Coming off a strong end to 2019, I’m feeling very bullish about our trajectory in 2020, as we continue to have discussions with an increasing number of businesses who are looking to leverage machine data for competitive advantage,” said Bob Moul, CEO, Circonus. “What we are hearing in the field is a sense of urgency on finding operational efficiencies and ways to drive top line growth in today’s digital world. Companies that learn to harness machine data to optimize operations, innovate new products and services, and create entirely new revenue streams, will be the clear winners in the Internet of Everything economy.”

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