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ScienceLogic Acquires Zebrium

ScienceLogic has acquired machine learning analytics firm Zebrium to automatically find the root cause of complex, modern (i.e., containerized, cloud-native) application problems.

This partnership drastically reduces the time it takes to identify, diagnose and resolve business-service impacting issues, lowering IT costs and delivering superior customer and employee experiences.

With this acquisition, ScienceLogic is combining its AIOps capabilities with the root-cause analysis (RCA) technology of Zebrium to provide enterprises with the ability to comprehensively understand their IT estate, from endpoint devices to SaaS and cloud environments. The solution provides powerful machine learning analytics that draw on both real-time and historical data for a contextual understanding of the service impact and root cause when issues arise so they can be automatically remediated.

“We understand that at the end of the day, customers care about a few core things. Among those are making sense of drastically increased amounts of data, maintaining a quick time to resolution, and focusing on customer experience,” says Mike Nappi, CPO at ScienceLogic. “Our acquisition of Zebrium has its genesis in those customer mandates and stems from years of conversations with partners and clients to understand where the gaps are and how ScienceLogic can help fill them. Combining our capabilities with that of Zebrium creates a whole new level of analytics-driven insights and automation we can bring to bear for our customers.”

What does this mean for IT operations? Drastically reduced hours and resources spent trying to determine what is a potential problem, configuring systems to alert on those problems, and when they occur, combing through large volumes of logs from the application and infrastructure stack to determine the root cause – leaving IT teams the time and capacity to devote to revenue-generating activities.

“This partnership means that ITOps and DevOps teams will have the breathing room to commit time, energy, and resources to improving and supporting infrastructure and analytics standards, all while cutting IT costs,” said Ajay Singh, CEO at Zebrium. “With our machine learning capabilities combined with ScienceLogic’s service context and automation, organizations can greatly reduce the time they spend identifying and remediating issues – leaving them more time to spend on operations that deliver stellar digital experiences for customers and employees alike.”

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ScienceLogic Acquires Zebrium

ScienceLogic has acquired machine learning analytics firm Zebrium to automatically find the root cause of complex, modern (i.e., containerized, cloud-native) application problems.

This partnership drastically reduces the time it takes to identify, diagnose and resolve business-service impacting issues, lowering IT costs and delivering superior customer and employee experiences.

With this acquisition, ScienceLogic is combining its AIOps capabilities with the root-cause analysis (RCA) technology of Zebrium to provide enterprises with the ability to comprehensively understand their IT estate, from endpoint devices to SaaS and cloud environments. The solution provides powerful machine learning analytics that draw on both real-time and historical data for a contextual understanding of the service impact and root cause when issues arise so they can be automatically remediated.

“We understand that at the end of the day, customers care about a few core things. Among those are making sense of drastically increased amounts of data, maintaining a quick time to resolution, and focusing on customer experience,” says Mike Nappi, CPO at ScienceLogic. “Our acquisition of Zebrium has its genesis in those customer mandates and stems from years of conversations with partners and clients to understand where the gaps are and how ScienceLogic can help fill them. Combining our capabilities with that of Zebrium creates a whole new level of analytics-driven insights and automation we can bring to bear for our customers.”

What does this mean for IT operations? Drastically reduced hours and resources spent trying to determine what is a potential problem, configuring systems to alert on those problems, and when they occur, combing through large volumes of logs from the application and infrastructure stack to determine the root cause – leaving IT teams the time and capacity to devote to revenue-generating activities.

“This partnership means that ITOps and DevOps teams will have the breathing room to commit time, energy, and resources to improving and supporting infrastructure and analytics standards, all while cutting IT costs,” said Ajay Singh, CEO at Zebrium. “With our machine learning capabilities combined with ScienceLogic’s service context and automation, organizations can greatly reduce the time they spend identifying and remediating issues – leaving them more time to spend on operations that deliver stellar digital experiences for customers and employees alike.”

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Industry experts offer predictions on how NetOps and NPM will evolve and impact business in 2026. Part 2 covers NetOps challenges and the edge ...

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