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ScienceLogic Introduces Behavioral Correlation

ScienceLogic unveiled its latest innovation in context-infused AIOps—Behavioral Correlation—which enables IT teams to identify, troubleshoot and remediate service-disrupting events before end-user impact can even be detected.

Modern IT environments breed complexity through the proliferation of applications and data, outstripping human capacity for analysis and response. Operations teams pressured to hunt down and fix customer-impacting IT events are often constrained by antiquated methods founded on human-centered analyses. With Behavioral Correlation, ScienceLogic introduces a radically more efficient approach, leveraging machine-speed detection and remediation. Real-time service health and risk can now be understood at a glance, allowing IT teams to rapidly address issues when they occur or even intercept potential service-impacting issues before they happen.

Behavioral Correlation for ScienceLogic SL1 is delivered through tightly integrated core capabilities:

- A comprehensive, real-time data lake that captures multimodal data types and their relationships.

- The ability to map and visualize IT services, their underlying dependencies, and associated health, availability, and risk.

- Machine-learning techniques that reason over these service topologies to detect the root cause of issues or anomalous behavior, and can recommend actions to address.

The end result is a system that provides holistic visibility into complex IT estates through an intuitive, service-centric lens. Decision-makers can quickly understand the impact, root causes and relative priority – ensuring IT is spending time on what matters most to the business.

“This is a game-changing innovation that buries the old-school, reactionary approach to IT event management. We can now instantly provide a real-time picture across the entire ephemeral state of IT – pinpointing where service degradation is happening, which issues should be prioritized, and the potential business impact,” said Dave Link, ScienceLogic CEO. “The cohesive, service-level view alleviates IT teams scrambling from one incident to the next and empowers providers worldwide to deliver a resilient customer experience.”

With IT teams free from the 1990s war rooms and defensive positions battling “event storms,” they can embrace a new standard for situational awareness to help drive faster root-cause analysis and time to resolution.

ScienceLogic customers will be able to access this new capability through the latest Colosseum Release due out in late Q2, 2020.

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ScienceLogic Introduces Behavioral Correlation

ScienceLogic unveiled its latest innovation in context-infused AIOps—Behavioral Correlation—which enables IT teams to identify, troubleshoot and remediate service-disrupting events before end-user impact can even be detected.

Modern IT environments breed complexity through the proliferation of applications and data, outstripping human capacity for analysis and response. Operations teams pressured to hunt down and fix customer-impacting IT events are often constrained by antiquated methods founded on human-centered analyses. With Behavioral Correlation, ScienceLogic introduces a radically more efficient approach, leveraging machine-speed detection and remediation. Real-time service health and risk can now be understood at a glance, allowing IT teams to rapidly address issues when they occur or even intercept potential service-impacting issues before they happen.

Behavioral Correlation for ScienceLogic SL1 is delivered through tightly integrated core capabilities:

- A comprehensive, real-time data lake that captures multimodal data types and their relationships.

- The ability to map and visualize IT services, their underlying dependencies, and associated health, availability, and risk.

- Machine-learning techniques that reason over these service topologies to detect the root cause of issues or anomalous behavior, and can recommend actions to address.

The end result is a system that provides holistic visibility into complex IT estates through an intuitive, service-centric lens. Decision-makers can quickly understand the impact, root causes and relative priority – ensuring IT is spending time on what matters most to the business.

“This is a game-changing innovation that buries the old-school, reactionary approach to IT event management. We can now instantly provide a real-time picture across the entire ephemeral state of IT – pinpointing where service degradation is happening, which issues should be prioritized, and the potential business impact,” said Dave Link, ScienceLogic CEO. “The cohesive, service-level view alleviates IT teams scrambling from one incident to the next and empowers providers worldwide to deliver a resilient customer experience.”

With IT teams free from the 1990s war rooms and defensive positions battling “event storms,” they can embrace a new standard for situational awareness to help drive faster root-cause analysis and time to resolution.

ScienceLogic customers will be able to access this new capability through the latest Colosseum Release due out in late Q2, 2020.

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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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Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...