ScienceLogic received a patent for its iterative agentless network device discovery technology (Intelligent Auto-Discovery).
Granted by the United States Patent and Trademark Office, ScienceLogic’s “Self Configuring Network Management System,” U.S. Patent No. 9,077,611 B2, covers intelligent auto-discovery technology that allows its product to efficiently discover network devices using a succession of data collection templates that uncover more device detail with each iteration. Customers dramatically benefit from this capability as it permits ScienceLogic’s IT monitoring software to automatically apply the specific monitoring required to track configuration and performance of each individual device in highly dynamic cloud environments.
Beyond simple ping and SNMP polling, ScienceLogic’s auto-discovery applies multiple approaches to discover device characteristics via SSH, WMI, PowerShell, database connections and others, including custom modern APIs. Once the device is discovered and characterized, the associated monitoring policies for that class of device are automatically enabled and data is collected with no further action required by the user.
“ScienceLogic continues to rapidly innovate with the goal of making the highly complex task of monitoring the world’s IT assets easier and less costly for our customers,” said Dave Link, Chairman and CEO, ScienceLogic. “This auto-discovery patent grant will be followed by many others as we extend our position as the market leading hybrid IT monitoring company.”
Patent Detail: ScienceLogic discovers network devices using a succession of data collection templates that uncover more device detail with each iteration, to build a detailed device view. Beyond simple ping and SNMP polling, multiple approaches can be applied automatically to discover device characteristics via SSH, WMI, PowerShell, database connections and others, including custom APIs. Once the device is discovered and characterized, the associated monitoring policies for that class of device are automatically enabled and data is collected with no further action by the user. This agentless discovery method is unique to ScienceLogic.
The Latest
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 ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
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 ...
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...