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ScienceLogic Skyler Offerings Available on AWS Marketplace

ScienceLogic announced that its newly reimagined Skylar™ offerings, anchored in the ScienceLogic AI Platform, including Skylar™ One and Skylar™ Automation  alongside Skylar™ AI and Skylar™ Compliance, are now available to purchase on the AWS Marketplace. 

This milestone enables organizations to easily and rapidly onboard ScienceLogic capabilities for intelligent automation, unified observability, compliance, and accelerated IT operations, delivering outcomes far beyond incident response and positioning customers for greater resilience and agility.

Through the AWS Marketplace, ScienceLogic can now provide a simplified procurement experience while also reducing vendor sprawl, accelerating AI adoption, and helping customers advance toward more resilient, automated operations with enhanced compliance. Customers can choose to deploy ScienceLogic offerings flexibly within their own AWS Virtual Private Cloud (VPC) for maximum control and compliance, or leverage ScienceLogic’s Regional Services Architecture (RSA) for a fully managed SaaS experience – delivering choice without compromise. By leveraging the AWS procurement process, organizations gain expert guidance, unified vendor management, and simplified budgeting with transparent, predictable pricing models—eliminating the uncertainty and cost overruns often associated with purely consumption-based pricing.

“Making the Skylar offerings available in the AWS Marketplace removes friction for customers and speeds adoption of intelligent IT operations,” said Michael Nappi, chief product officer at ScienceLogic. “Instead of piecemeal tools or point agents, ScienceLogic unifies observability, automation, compliance, and AI-driven remediation in one platform. The result is less downtime, reduced complexity, and faster progress toward self-healing, proactive operations at scale.”

The ScienceLogic AI Platform offerings and services available on the AWS Marketplace include:

  • Skylar One: (formerly SL1®) is the foundation of the ScienceLogic AI Platform, delivering unified, service-centric observability across hybrid and multi-vendor environments. It connects and synthesizes fragmented data silos, accelerates root cause analysis, and optimizes operations at scale. It Includes Skylar One Studio (formerly SL1 Studio) for out-of-the-box monitoring integrations via ScienceLogic PowerPacks and flexible, customizable observability.
  • Skylar Automation: (formally PowerFlow™) is the low-code orchestration engine that connects insights IT ecosystems – from ITSM, CMDBs to collaboration and cloud platforms – automating processes from detection to resolution and eliminating manual toil.
  • Skylar AI: (name retained) is the intelligence layer of the ScienceLogic AI Platform, powering correlation, prediction, and proactive remediation through Agentic AI. It includes Skylar Analytics for unsupervised prediction and detection, and Skylar Advisor for plain-language guidance and safe, executable actions to reduce MTTR.
  • Skylar Compliance: (formerly Restorepoint™) delivers centralized backup, recovery, and policy enforcement across multi-vendor infrastructures, ensuring resilience and minimizing downtime.

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ScienceLogic Skyler Offerings Available on AWS Marketplace

ScienceLogic announced that its newly reimagined Skylar™ offerings, anchored in the ScienceLogic AI Platform, including Skylar™ One and Skylar™ Automation  alongside Skylar™ AI and Skylar™ Compliance, are now available to purchase on the AWS Marketplace. 

This milestone enables organizations to easily and rapidly onboard ScienceLogic capabilities for intelligent automation, unified observability, compliance, and accelerated IT operations, delivering outcomes far beyond incident response and positioning customers for greater resilience and agility.

Through the AWS Marketplace, ScienceLogic can now provide a simplified procurement experience while also reducing vendor sprawl, accelerating AI adoption, and helping customers advance toward more resilient, automated operations with enhanced compliance. Customers can choose to deploy ScienceLogic offerings flexibly within their own AWS Virtual Private Cloud (VPC) for maximum control and compliance, or leverage ScienceLogic’s Regional Services Architecture (RSA) for a fully managed SaaS experience – delivering choice without compromise. By leveraging the AWS procurement process, organizations gain expert guidance, unified vendor management, and simplified budgeting with transparent, predictable pricing models—eliminating the uncertainty and cost overruns often associated with purely consumption-based pricing.

“Making the Skylar offerings available in the AWS Marketplace removes friction for customers and speeds adoption of intelligent IT operations,” said Michael Nappi, chief product officer at ScienceLogic. “Instead of piecemeal tools or point agents, ScienceLogic unifies observability, automation, compliance, and AI-driven remediation in one platform. The result is less downtime, reduced complexity, and faster progress toward self-healing, proactive operations at scale.”

The ScienceLogic AI Platform offerings and services available on the AWS Marketplace include:

  • Skylar One: (formerly SL1®) is the foundation of the ScienceLogic AI Platform, delivering unified, service-centric observability across hybrid and multi-vendor environments. It connects and synthesizes fragmented data silos, accelerates root cause analysis, and optimizes operations at scale. It Includes Skylar One Studio (formerly SL1 Studio) for out-of-the-box monitoring integrations via ScienceLogic PowerPacks and flexible, customizable observability.
  • Skylar Automation: (formally PowerFlow™) is the low-code orchestration engine that connects insights IT ecosystems – from ITSM, CMDBs to collaboration and cloud platforms – automating processes from detection to resolution and eliminating manual toil.
  • Skylar AI: (name retained) is the intelligence layer of the ScienceLogic AI Platform, powering correlation, prediction, and proactive remediation through Agentic AI. It includes Skylar Analytics for unsupervised prediction and detection, and Skylar Advisor for plain-language guidance and safe, executable actions to reduce MTTR.
  • Skylar Compliance: (formerly Restorepoint™) delivers centralized backup, recovery, and policy enforcement across multi-vendor infrastructures, ensuring resilience and minimizing downtime.

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Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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