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Modern IT operations require a unified approach to observability, automation, and AI to manage the complexity of hybrid environments effectively. To address this, ScienceLogic has announced the first major update to its flagship Skylar One platform. This release delivers a faster user interface, enhanced scalability, and deeper intelligence for network and AI workloads, strengthening its position as a catalyst for autonomous IT operations.
ScienceLogic has released a major update to its Skylar One observability platform.
Data ingestion throughput is increased by up to 60% for greater scalability.
New Geo Maps provide location-based visualization for faster incident triage.
A rebuilt topology engine offers smarter network visibility and dependency mapping.
New AMD GPU monitoring expands observability into AI workloads.
The update reinforces the platform's secure, compliant operations for regulated sectors.
This update introduces measurable gains that directly impact operational efficiency. The platform's data ingestion and collection pipelines have been enhanced to increase throughput by up to 60%, providing the speed and headroom needed for large-scale hybrid environments. A new Geo Maps feature provides dynamic, location-based visualization of assets, enabling teams to quickly identify and prioritize regional issues. Furthermore, a rebuilt topology engine with enhanced Layer2/Layer3 intelligence delivers accurate dependency mapping and better event correlation, allowing IT teams to pinpoint root causes faster and reduce downtime.
Recognizing the growing importance of AI infrastructure, the release expands observability to include new AMD GPU monitoring. This provides teams with deeper insight into AI workload performance, helping them proactively manage resource usage and cost risks. The updates also strengthen the platform's reliability with optimized high-availability failover and reinforce its commitment to security by supporting government and enterprise standards like STIG and FedRAMP, ensuring trusted operations across regulated sectors.
This release represents a significant step towards realizing intelligent, self-managing IT operations. By unifying advances in scalability, network intelligence, and AI workload observability into a single platform, ScienceLogic is empowering IT teams to move from reactive troubleshooting to proactive, predictive operations with greater confidence and clarity.
About ScienceLogic
ScienceLogic delivers intelligence that accelerates through service-centric observability, AI-driven operations, and intelligent automation. Trusted by enterprises, service providers, and government agencies worldwide, our platform unifies visibility and intelligence with Agentic AI so teams can move from understanding problems to resolving them with greater speed, precision, and trust. Founded in 2003, ScienceLogic serves customers globally and is recognized as a leader in The Forrester Wave™: AIOps Platforms, Q2 2025 and a visionary in 2025 Gartner® Magic Quadrant™ for Observability Platforms.
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