Cobalt Iron Received European Patent on Technology for Dynamic Data Monitoring Fidelity

Cobalt Iron Inc. received an European patent on its technology for dynamic data monitoring fidelity.

European patent N° EP3684027, granted on August 16, describes capabilities for the Compass enterprise SaaS backup platform that will automatically and dynamically adjust data collection granularity and frequency in response to a detected event or condition.

As a result, Compass will be better able to detect, debug, and remediate transient failures, inefficiencies, and security exposures in complex, distributed IT environments.

Comprehensive data collection and effective monitoring are woefully lacking in the enterprise IT world. For example, enterprise backup has many moving parts, including backup servers, backup server OSs, a backup catalog or database, backup software, backup agents, storage devices, networking, and maybe cloud resources. Each of these components should be monitored continuously for health, capacity, performance, and ransomware issues, but that monitoring rarely happens.

Furthermore, under certain conditions or events, it is often desirable to perform higher fidelity (i.e., more detailed) and more frequent data collection and monitoring to help identify, analyze, remediate, and track any issues. Yet adequate data collection of these various metrics and conditions is rare. Even when some data collection occurs, it is almost always static in nature, meaning that systems do the same level of data collection at the same frequency no matter the situation or operational status.

Enterprises need more dynamic means of collecting data about IT infrastructure and operations. In particular, when certain conditions or events occur, IT administrators and other IT professionals must be able to collect more information from certain components or operations in order to properly analyze, prepare for, and respond to those conditions or events.

In just one of many examples, failing hardware devices might issue warnings, I/O errors, or transient errors, or they could demonstrate other symptoms. In these scenarios, it is often valuable to have more detailed and more frequent metrics for specific hardware devices or specific components of hardware devices in order to determine the nature and extent of the failures, particularly when it comes to transient errors.

This technology qualified for a patent because, unlike various other IT data collection, monitoring, and reporting tools that are almost all static, the company’s technology introduces novel and automated approaches to adjusting the data collection fidelity and frequency levels of IT resources. Fidelity refers to the level of details collected. In essence, this patent discloses techniques to automatically turn the detail level and frequency of data collection up or down.

Compass will be able to:

• Identify hardware components and operations that might be associated with a certain condition or event, such as failing disk drives, transient hardware problems, network utilization issues, ransomware attacks, or particular security conditions.
• Continually monitor for and analyze metrics, events, and conditions associated with hardware resources.
• Dynamically adjust data collection fidelity (i.e., adjust detail levels of its metrics, data, and operational data collection) and frequency for those components and operations based on conditions or events in the environment.
• Dynamically resume normal data collection when the condition or event has ceased.

“When issues arise with IT resources like servers and storage devices, administrators often struggle with obtaining additional information about the condition or event,” said James Kost, senior systems engineer, Cobalt Iron. “The techniques disclosed in this patent dynamically adjust data collection activities on IT resources in response to environmental conditions and events. These techniques will improve administrators’ ability to detect, debug, and remediate transient failures, inefficiencies, and security exposures in complex, distributed IT environments. Because of humanless, analytics-based optimization technology like this, Cobalt Iron is leading the market to the future of enterprise backup.”

Resource:
Patent: Data protection automatic optimization system and method
Inventors: Spurlock Richard Raymond, Marett Robert Merrill, and Kost James Thomas, Lawrence, KS.

The abstract of the patent published : “A system includes a memory and at least one processor to continually analyze at least one of metrics, events, and conditions in a computer network, under normal operating conditions in the computer network, obtain a first level of data from at least one hardware device in the computer network, detect that one of a condition and an event has occurred in the computer network, automatically transmit an instruction to modify the first level of data obtained from the at least one hardware device to a second level of data more robust than the first level of data when one of the condition and the event has occurred, collect the second level of data from the at least one hardware device, and store the second level of data obtained from the at least one hardware device.“
Also assigned the 2021-01-12 by the U.S. Patent and Trademark Office under N° 10891200.