Circonus Platform Released
October 29, 2019
Share this

Circonus announced the launch and availability of its Circonus Platform, a machine data intelligence platform built to provide enterprises with the ability to handle the rapidly increasing data volume and frequency seen in today's global IT infrastructure and IoT deployments.

With the Circonus Platform, enterprises can collect, store and analyze all of their machine data – without limits – ushering in a new era of extraordinary business insight and intelligence.

Machine data intelligence is the ability to gather and analyze vast amounts of machine-generated data, including data from sensors, systems, and connected devices, to achieve new levels of insight that drive smarter operations and better decision-making. Machine data is becoming increasingly valuable to enterprises. As the number of connected devices multiplies and data production costs plummet, it is unleashing data volumes that can overwhelm an enterprise, but that can also create an entirely new source of competitive advantage if harnessed. The ability to tap into this ocean of data, monitor and analyze it in real time, and collect and store it in such a way that it can be mined at will is at the heart of machine data intelligence.

Analyzing high-volume, high-frequency data is a challenge for many enterprises, and one that is only getting more ominous. IDC estimates that there will be 41.6 billion connected IoT devices, or "things," generating 79.4 zettabytes (ZB) of data in 2025. The growing value of accurate, real-time machine data intelligence is also illustrated by core business systems that need to be running 24x7x365, with the cost of infrastructure downtime averaging $5,600 per minute, and as high as $540,000 per hour, according to Gartner. The Circonus Platform has the ability to cost-effectively handle the data volume, frequency, speed, and accuracy required of today's –and tomorrow's – mission-critical IoT and monitoring systems.

"Circonus is changing the way that enterprises think about their machine data and its potential. For the first time, organizations can tap into the full value of all of their machine data, from servers to robots, without constraint or compromise. We believe that machine data intelligence will fuel the next wave of competitive differentiation and business value. Companies that take full advantage of this data to optimize operations, innovate product and service offerings, and create new revenue streams will be the clear winners in the 'Internet of Everything' economy," said Bob Moul, CEO of Circonus.

Built on the proven and performant Circonus IRONdb time-series database, the Circonus Platform is designed to meet the requirements of the most demanding use cases in consumer and Industrial Internet of Things (IoT and IIoT), as well as operational analytics and infrastructure monitoring across a number of vertical markets.

Key features of the Circonus Platform include:

- High ingestion rates

- Unlimited scale and volume

- Millisecond frequency

- Accurate, real-time analytics

- Ability to work with any technology

- Unlimited retention and data access

"The Circonus Platform is second to none in its ability to collect, store, manage and analyze machine data at scale," said Theo Schlossnagle, Founder and CTO of Circonus. "We have created the first machine data intelligence platform that can handle the scale that comes from high-frequency data collection from billions of devices without losing speed, accuracy, or cost efficiencies. This is the future."

Share this

The Latest

January 23, 2020

EMA is about to embark on some new research entitled Data-Driven Automation: A Vision for the Modern CIO. We're trying to piece a puzzle together that so far we don't believe anyone to date has fully done — seek out where and how IT is moving toward integrated strategies for automation in context with real-world objectives and obstacles. We'll be looking at four use cases, each of will no doubt tell its own story ...

January 22, 2020

Many pitfalls await CIOs on the journey to the cloud. In fact, a majority of companies have been only partially successful, while some are outright failing. To learn more about this migration, Business Performance Innovation (BPI) Network surveyed IT and business executives and conducted in-depth interviews ...

January 21, 2020

The online retail industry has yet to have a Black Friday/Cyber Monday weekend unscathed by web performance (speed and availability) problems. Luckily, performance during 2019's hyper-critical online holiday shopping weekend was better than in years past, as we did not see any systemic, lengthy outages. While no website went completely down, several retailers did experience significant problems. Why have online retailers yet to figure out how to be crash-free during this all-important peak traffic period? We've identified several reasons for this ...

January 16, 2020

Gartner highlighted the trends that infrastructure and operations (I&O) leaders must start preparing for to support digital infrastructure in 2020 ...

January 15, 2020

Edge computing usage is starting to increase. The obvious follow-up question is, "So, what can I do with edge computing?" I'm glad you asked. There are lots of things you can do ...

January 14, 2020

Industry experts offer predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2020. Part 2 offers predictions about 5G and more ...

January 13, 2020

Industry experts offer predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2020 ...

January 09, 2020

With AI on the edge, companies will more easily monitor desktops, tablets and other end-user devices. AIOps will enable IT to guide employees on improving productivity from the applications installed on their devices while delivering greater visibility and control around the entire IT environment ...

January 08, 2020

2020 will see AIOps adoption going mainstream as use cases crystallize for improving IT efficiencies and supporting faster decision-making. Expect AI-enhanced automation to become smarter and more contextual, move towards the edge, and used increasingly for customer and user experience analysis. Yet there are significant challenges and cautions, which will shape AI's development in not only IT but across business and society ...

January 07, 2020

Industry experts offer predictions on how Digital Transformation will evolve and impact business in 2020 ...