ScienceLogic, delivering intelligence that accelerates outcomes through service-centric observability, AI-driven operations, and intelligent automation, is introducing a major update to its flagship Skylar One platform, the first since its rebrand and expansion from SL1.
According to the company, the release delivers a faster, intuitive user interface, compelling visualization capabilities, and deeper network and automated system intelligence for large-scale enterprises and service providers.
“Skylar One Juneau is a significant release for us,” said Michael Nappi, chief product officer at ScienceLogic. “We are at an inflection point where observability, AI and automation have converged, and this release makes that real for customers. By bundling advances in topology, geo aware visibility and high throughput data pipelines into a single AI driven platform, we give operations teams a much clearer sense of what is happening, where it is happening and how to respond with confidence.”
The enhancements reflect ScienceLogic’s “continuous evolution toward realizing the Autonomic IT end state of intelligent, self-managing operations that anticipate and resolve issues automatically,” the company said.
With this release, Skylar One strengthens its foundations as part of the ScienceLogic AI Platform, uniting observability, automation, compliance and AI into one platform that enables IT leaders to move faster and with greater confidence and clarity in an increasingly agentic world.
This latest release introduces gains in platform performance and resilience, including:
- Greater scalability and speed: Enhanced data ingestion and collection pipelines increase, improving responsiveness for large-scale hybrid environments and providing the headroom needed to accommodate rapid growth without sacrificing stability or insights.
- Context-rich situational awareness: New Geo Maps provide dynamic, location-based visualization of monitored assets, enabling teams to quickly identify regional or site-level issues.
- Improved reliability and uptime: Optimized high-availability failover and multi-proxy agent support strengthen connection stability and reduce service interruptions, so critical systems remain continuously available and resilient under load.
- Smarter network visibility: A rebuilt topology engine with enhanced intelligence surrounding Layer2/Layer3, Link Layer Discovery Protocol (LLDP), and Cisco Discovery Protocol (CDP) processing provides accurate dependency mapping and better event correlation across hybrid environments.
- Expanded AI workload observability: New AMD GPU monitoring adds deeper visibility into AI workloads by correlating GPU health and performance with infrastructure and service context.
- Simplified operations: A redesigned modern interface introduces faster navigation and improved service visualizations so teams can diagnose and resolve issues more quickly and improve overall operator efficiency.
Additionally, these updates also emphasize ScienceLogic’s commitment to secure and compliant operations, supporting government and enterprise standards including Security Technical Implementation Guide (STIG) and FedRAMP environments to ensure observability and automation remain trusted across regulated sectors, the company said.
For more information about this news, visit https://sciencelogic.com.