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LogicMonitor Enhances AIOps with Anomaly Detection

LogicMonitor announced the addition of anomaly detection to the platform’s growing artificial intelligence for IT operations (AIOps) capabilities.

“Anomaly detection is a game-changer for our customers when it comes to their monitoring experiences, and we’re excited to be sharing this advancement with so many of them in person at Level Up,” said Tej Redkar, Chief Product Officer at LogicMonitor. “With anomaly detection, our customers not only get a holistic view into the health of their monitored resources, but also the insight to dig deeper and mitigate potentially critical events.”

LogicMonitor continues to invest in AIOps with anomaly detection, which builds on the company’s dynamic topology mapping announced earlier this year. Dynamic topology mapping enables customers to automatically discover relationships between devices in their environments and provides the context needed for more advanced AIOps capabilities, such as anomaly detection.

LogicMonitor’s anomaly detection allows customers to see deviations that occur for monitored resources and compare these anomalies to key historical signals. This additional layer of intelligence helps customers better understand the expected performance of their monitored resources and identify when performance is deviating from expectations. Anomaly detection complements LogicMonitor’s existing forecasting functionality and helps customers not only better understand resource health, but also troubleshoot faster and more effectively.

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LogicMonitor Enhances AIOps with Anomaly Detection

LogicMonitor announced the addition of anomaly detection to the platform’s growing artificial intelligence for IT operations (AIOps) capabilities.

“Anomaly detection is a game-changer for our customers when it comes to their monitoring experiences, and we’re excited to be sharing this advancement with so many of them in person at Level Up,” said Tej Redkar, Chief Product Officer at LogicMonitor. “With anomaly detection, our customers not only get a holistic view into the health of their monitored resources, but also the insight to dig deeper and mitigate potentially critical events.”

LogicMonitor continues to invest in AIOps with anomaly detection, which builds on the company’s dynamic topology mapping announced earlier this year. Dynamic topology mapping enables customers to automatically discover relationships between devices in their environments and provides the context needed for more advanced AIOps capabilities, such as anomaly detection.

LogicMonitor’s anomaly detection allows customers to see deviations that occur for monitored resources and compare these anomalies to key historical signals. This additional layer of intelligence helps customers better understand the expected performance of their monitored resources and identify when performance is deviating from expectations. Anomaly detection complements LogicMonitor’s existing forecasting functionality and helps customers not only better understand resource health, but also troubleshoot faster and more effectively.

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According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

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Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

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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 ...