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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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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 ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

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? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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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 ...

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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