ScienceLogic unveils new AI features to boost IT automation & insight
The announcement follows recent industry recognition of ScienceLogic's offerings. The company has been named a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms and a Leader in The Forrester Wave: AIOps Platforms, Q2 2025. These accolades highlight the company's ongoing product development and its approach to agentic AI in support of Autonomic IT environments. "We're focused on delivering purposeful AI that empowers IT teams with the insight and control they need to stay ahead of disruptions," said Michael Nappi, chief product officer at ScienceLogic. "By combining advanced analytics, automation, and secure extensibility, we're helping customers drive better outcomes across hybrid-cloud and mission-critical environments."
Among the headline updates is the refinement of the Skylar Analytics solution. ScienceLogic's Skylar Analytics has received industry awards including the AI Breakthrough Award for "Predictive Analytics Platform of the Year" and a Bronze Stevie in the "Artificial Intelligence and Machine Learning Solution" category. ScienceLogic has built on these achievements by enhancing Skylar Analytics in several ways.
A core update involves improved data visualisation capabilities. The solution now incorporates Apache Superset dashboards, providing users with a broad set of visualisation tools. These include everything from bar charts to complex geospatial visualisations. The system is designed with an intuitive, no-code interface, so users with varying levels of technical experience can quickly build charts and dashboards to better convey data insights.
ScienceLogic has also expanded its data export functions. New Open Database Connectivity (ODBC) integrations are available with Tableau and Microsoft Power BI, enabling business intelligence teams to conduct deep metric analysis. This capability allows organisations to leverage ScienceLogic's data lake using familiar tools and existing expertise.
Additional enhancements include a new anomaly detection feature. The updated Device Investigator tool prioritises the scoring of outliers in time series data, displaying these directly to users for prompt awareness of unusual activity. Predictive alerting functionality has also been added, which automatically flags potential issues such as storage exhaustion or network oversubscription before they can escalate.
Updates to the Skylar Analytics suite are intended to help IT teams shift from reactive responses to more proactive, insight-driven management of their IT environments.
Government and compliance
ScienceLogic's Government Cloud has achieved FedRAMP Moderate Authorisation, aligning with over 300 NIST controls. The platform is now listed on the FedRAMP Marketplace and the Department of Defence Information Network Approved Products List (DoDIN APL). These developments are intended to simplify procurement processes for federal agencies and strengthen operational resilience with Zero Trust-aligned dashboards and AI-based decision support.
GPU monitoring and AI operations
The updated NVIDIA GPU Monitoring ScienceLogic PowerPack (v100) is another feature of note. Targeting high-performance compute environments, including AI training, simulation, and edge computing, the PowerPack offers automated discovery and real-time monitoring of GPU metrics such as utilisation and thermal status. Built-in event policies issue alerts for conditions like overheating or performance degradation, supporting optimal use of expensive GPU systems and workloads. These monitoring capabilities help maintain uptime and manage the complexity of expanding GPU infrastructure.
Low-code customisation tools
ScienceLogic's Dynamic Application Builder has also been updated, providing a low-code wizard to accelerate the development of custom monitoring tools. The latest version enables developers to configure credentials, retrieve API or CLI payloads, and export data directly to the management platform. Additional features include support for rapid creation of PowerPack-ready components via snippet arguments, JC parsers, and custom headers, as well as improved security and authentication options. Integration with the Low-Code Tools PowerPack enables bulk deployment, with upcoming support for OAuth2 authentication planned.
By introducing these enhancements, ScienceLogic is offering IT teams additional resources to monitor, manage, and automate systems according to evolving organisational requirements, with particular emphasis on visualisation, compliance, high-performance infrastructure management, and customisation through low-code development.
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Techday NZ
21 hours ago
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ScienceLogic unveils new AI features to boost IT automation & insight
ScienceLogic has announced updates to its suite of solutions, bringing new features to its AI Platform and Skylar AI Suite aimed at enhancing automation, observability, secure government operations, and low-code development for IT teams. The announcement follows recent industry recognition of ScienceLogic's offerings. The company has been named a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms and a Leader in The Forrester Wave: AIOps Platforms, Q2 2025. These accolades highlight the company's ongoing product development and its approach to agentic AI in support of Autonomic IT environments. "We're focused on delivering purposeful AI that empowers IT teams with the insight and control they need to stay ahead of disruptions," said Michael Nappi, chief product officer at ScienceLogic. "By combining advanced analytics, automation, and secure extensibility, we're helping customers drive better outcomes across hybrid-cloud and mission-critical environments." Among the headline updates is the refinement of the Skylar Analytics solution. ScienceLogic's Skylar Analytics has received industry awards including the AI Breakthrough Award for "Predictive Analytics Platform of the Year" and a Bronze Stevie in the "Artificial Intelligence and Machine Learning Solution" category. ScienceLogic has built on these achievements by enhancing Skylar Analytics in several ways. A core update involves improved data visualisation capabilities. The solution now incorporates Apache Superset dashboards, providing users with a broad set of visualisation tools. These include everything from bar charts to complex geospatial visualisations. The system is designed with an intuitive, no-code interface, so users with varying levels of technical experience can quickly build charts and dashboards to better convey data insights. ScienceLogic has also expanded its data export functions. New Open Database Connectivity (ODBC) integrations are available with Tableau and Microsoft Power BI, enabling business intelligence teams to conduct deep metric analysis. This capability allows organisations to leverage ScienceLogic's data lake using familiar tools and existing expertise. Additional enhancements include a new anomaly detection feature. The updated Device Investigator tool prioritises the scoring of outliers in time series data, displaying these directly to users for prompt awareness of unusual activity. Predictive alerting functionality has also been added, which automatically flags potential issues such as storage exhaustion or network oversubscription before they can escalate. Updates to the Skylar Analytics suite are intended to help IT teams shift from reactive responses to more proactive, insight-driven management of their IT environments. Government and compliance ScienceLogic's Government Cloud has achieved FedRAMP Moderate Authorisation, aligning with over 300 NIST controls. The platform is now listed on the FedRAMP Marketplace and the Department of Defence Information Network Approved Products List (DoDIN APL). These developments are intended to simplify procurement processes for federal agencies and strengthen operational resilience with Zero Trust-aligned dashboards and AI-based decision support. GPU monitoring and AI operations The updated NVIDIA GPU Monitoring ScienceLogic PowerPack (v100) is another feature of note. Targeting high-performance compute environments, including AI training, simulation, and edge computing, the PowerPack offers automated discovery and real-time monitoring of GPU metrics such as utilisation and thermal status. Built-in event policies issue alerts for conditions like overheating or performance degradation, supporting optimal use of expensive GPU systems and workloads. These monitoring capabilities help maintain uptime and manage the complexity of expanding GPU infrastructure. Low-code customisation tools ScienceLogic's Dynamic Application Builder has also been updated, providing a low-code wizard to accelerate the development of custom monitoring tools. The latest version enables developers to configure credentials, retrieve API or CLI payloads, and export data directly to the management platform. Additional features include support for rapid creation of PowerPack-ready components via snippet arguments, JC parsers, and custom headers, as well as improved security and authentication options. Integration with the Low-Code Tools PowerPack enables bulk deployment, with upcoming support for OAuth2 authentication planned. By introducing these enhancements, ScienceLogic is offering IT teams additional resources to monitor, manage, and automate systems according to evolving organisational requirements, with particular emphasis on visualisation, compliance, high-performance infrastructure management, and customisation through low-code development.
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