ScienceLogic, a leader in intelligent automation and observability, is rolling out a series of updates to its solution suite, adding new capabilities to the ScienceLogic AI Platform and Skylar AI Suite that redefine automation, observability, secure government operations, and low-code development.
“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.”
Key solution updates include:
Data visualization: The incorporation of Apache Superset dashboards offers a wide array of visualization options for ScienceLogic AI Platform data, enabling users to create diverse and interactive charts, graphs, and dashboards from basic bar charts to complex geospatial visualizations, allowing for compelling data storytelling.
Powerful yet simple data export: New ODBC integrations with Tableau and Microsoft Power BI for deep metric analysis allow the BI team to use their own know-how and tools to leverage ScienceLogic’s comprehensive data lake.
Anomaly detection: Prioritized scoring of outliers in time series data is viewable directly in our updated intelligent Device Investigator.
Predictive alerting: Additional visibility to simplify automatic flagging issues like storage exhaustion or network oversubscription before they escalate.
These enhancements further facilitate IT teams’ transition from reactive operations to proactive, insight-driven management, according to ScienceLogic.
Additionally, the updated NVIDIA GPU Monitoring ScienceLogic PowerPack (v100) provides real-time observability into high-performance compute environments, including AI training, simulation, and edge computing.
The PowerPack works automatically to simplify intelligent discovery while establishing proactive monitors for GPU metrics such as utilization and thermal status. At the same time, built-in event policies trigger alerts for issues such as overheating or performance drops which are critical to capturing maximum value from these expensive systems and workloads.
These capabilities help IT teams optimize resources, sustain uptime, and efficiently manage increasingly complex, rapidly growing GPU infrastructure, the company said.
These updates to the ScienceLogic AI Platform take no-code simplification to the next level. The Dynamic Application Builder (v1.2.0) accelerates custom monitoring development via a low-code wizard. Additional new features enable developers to configure HTTP/SSH credentials, pull API or CLI payloads, and export directly to SL1. It supports rapid creation of PowerPack-ready components via snippet arguments, JC parsers, and custom headers. Enhancements include API testing, basic authentication (OAuth2 support planned), integration with the “Low-Code Tools” PowerPack for bulk buildout, and stronger SSL verification and authentication handling.
For more information about this news, visit www.sciencelogic.com.