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Circonus Platform Released

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."

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Circonus Platform Released

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."

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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