ScienceLogic Named a Visionary in the 2025 Gartner® Magic Quadrant™ for Observability Platforms

It’s official: ScienceLogic has entered the observability arena. Named a Visionary in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, we believe we’re helping define where observability is heading, not just where it’s been. This marks our first inclusion in this Magic Quadrant and, in our opinion, validates our mission to redefine intelligent, actionable observability in the era of AI and automation.

For us, being positioned as a Visionary reflects not only our product strategy but the real-world impact we’re delivering for IT operations teams navigating modern complexity. Our unified platform combines observability, intelligence, and automation powered by the Skylar™ AI suite. This recognition signals an evolution and expansion of the observability landscape, and we’re proud to be at the forefront.

To us, this recognition is a direct reflection of the transformation we’re driving across the IT operations landscape. As organizations face mounting complexity and heightened performance expectations, the need for an integrated, intelligent observability platform has never been more urgent.

We believe that being recognized as a Visionary validates the strategic bets we’ve made on AI and automation. We think it means we’re doing today what others will scramble to do tomorrow. But more importantly, it echoes the voices of our customers, who rely on ScienceLogic every day to keep their digital environments running efficiently and resiliently.

A New Era of Observability

Historically, observability’s primary goal was to instrument opaque processes and resources in an attempt to integrate fragmented application data into dashboards to support reactive operations. Today, digital ecosystems are dynamic, interconnected, and vital to business success. Moreover, the sources of operations data have expanded far beyond application logs and traces to include dynamic monitoring across the IT estate. ScienceLogic is helping redefine observability for this new reality.

Observability should be active, not passive. It should empower systems and teams to anticipate, adapt, and resolve issues across hybrid and multi cloud environments. ScienceLogic’s Skylar AI– our purpose-built AI engine- is central to this vision.

Skylar AI uses always-on unsupervised adaptive reasoning and contextual awareness to automate detection, diagnosis, and remediation at machine speed. Rather than bolting on AI as a fashionable new feature, ScienceLogic has long relied on AI/ML as the engine that drives autonomous IT. Think of it as the difference between a GPS and a self-driving car. Some tools’ AI show you the road. A few might even help plan the trip. But Skylar can drive it. The result? Fewer incidents, faster resolution, and happier users, plus more time for your team to focus on what matters.

We also provide agentless monitoring and unified visibility across varied environments—key for teams who need rapid onboarding and end-to-end awareness without operational overhead.

We believe this active approach to observability changes the game for IT teams, especially as they navigate increasingly complex environments. The combination of real-time awareness and intelligent action empowers organizations to make decisions real time, without getting bogged down by noise.

Many observability solutions remain trapped in legacy APM centric requirements, focusing solely on monitoring and reporting. But modern IT environments demand more. They require context aware, intelligent platforms that do more than observe; they must act. ScienceLogic’s platform doesn’t just track what happened; it continuously learns from your environment to predict what will happen next and act accordingly.

Businesses are moving beyond traditional, human centric workflows that don’t keep pace with the velocity of change. Skylar AI enables a new class of autonomous operations, where observability becomes a living, breathing process working in real time to ensure performance, stability, and operational innovation. In doing so, we’re helping IT teams become strategic enablers of the business, rather than reactive responders to problems.

This future-forward approach isn’t theoretical—it’s already being realized across our customer base, with organizations shifting from dashboard fatigue to intelligent, outcome-driven operation

Leading the Agentic AI Revolution

Skylar AI embodies a transformative shift toward agentic AI. Unlike traditional systems that rely on static rules and thresholds, AI learns, reasons, and acts in real time.

With Skylar AI, organizations can:

• Move from reactive troubleshooting to proactive optimization
• Drastically reduce mean time to resolution (MTTR)
• Eliminate noise and surface only critical insights
• Free teams to focus on strategic initiatives
• Enable intelligent automation throughout the tech stack

Skylar AI doesn’t simply provide observability—it enables action. That’s why it’s the centerpiece of our platform’s value.

As organizations adapt to new demands like edge computing, hybrid cloud operations, and decentralized teams, agentic AI provides a critical foundation. ScienceLogic and Skylar AI go beyond identifying problems to actively collaborate with your systems and teams to quickly resolve issues and prevent them from impacting users. This agentic capability represents a significant advancement in how infrastructure and applications are managed.

Beyond Observability: Turning Insight into Action

ScienceLogic bridges observability, intelligence, and automation to deliver real outcomes. Our platform provides unified visibility across infrastructure, applications, and business services, delivering clarity, not additional complexity.

ScienceLogic enables organizations to:

• Diagnose and resolve issues automatically
• Prevent outages proactively
• Align service health with business priorities
• Translate technical data into business insights
• Maintain visibility during modernization initiatives

This is supported by a platform architecture designed for flexibility and scale—offering SaaS, hybrid, and on-prem deployments, including a FedRAMP-certified SaaS offering that delivers 99.95% uptime and handles trillions of telemetry events monthly.

Basic Observability isn’t enough. Enterprises need platforms built for action context rich and automation ready.

By translating insight into action, ScienceLogic not only helps teams respond more effectively to issues, but also provides the intelligence needed to continuously optimize operations. Whether it’s reducing operational overhead or improving customer experiences, our platform ensures observability delivers tangible value.

Trusted by Global Enterprises and Leading Partners

ScienceLogic is trusted by leading enterprises, global systems integrators (GSIs), and managed service providers (MSPs). Our platform offers deployment flexibility on premises, hosted, or self-managed cloud all with a common user experience and the legendary full ScienceLogic feature set.

Our compliance capabilities support secure operations across regulated industries, from government to healthcare, finance, telecom, and beyond.

In an era where trust and scalability are paramount, ScienceLogic delivers. Our platform supports billions of daily data points and integrates seamlessly into complex IT ecosystems. We help our customers navigate risk, maintain compliance, and scale operations with confidence.

Committed to Customer Success

We believe that our inclusion in the 2025 Gartner® Magic Quadrant™ for Observability Platforms as a Visionary also reflects our deep commitment to long term customer success. Through our SL360 program, we guide customers from strategy to results, supported by dedicated Customer Success Managers, robust learning services, and a vibrant user community.

Customers frequently report measurable results within weeks thanks to fast deployment, intuitive onboarding, and a focus on delivering real world value. In a world of slow rollouts and bloated roadmaps, SL360 is a fast lane to value.

ScienceLogic also recognizes that every customer journey is unique. That’s why SL360 is designed from the ground up to be adaptive and extensible, offering strategic guidance, technical enablement, and business alignment based on each organization’s specific goals. Whether you’re just starting your observability journey or scaling to full autonomy, we’re here to help you succeed.

Defining the Future of Autonomous Operations

What makes this recognition most exciting is what it represents for the future of IT operations in general. As enterprise environments grow more complex, the need for platforms that can think, learn, and act autonomously becomes critical.

ScienceLogic is uniquely positioned to meet this opportunity. And with Skylar AI it’s a foundation for autonomous operations. Our solution embeds intelligence at every layer, enabling organizations to move from reactive to proactive to autonomous IT.

As observability matures from visibility to decision-making, ScienceLogic helps customers not only understand what’s happening—but shape what happens next.

Join Us in Shaping the Future

To us, being named a Visionary is more than a recognition – it’s a signal to the industry: the era of agentic AI and autonomous operations is here.

Explore the full Gartner Magic Quadrant report to learn why ScienceLogic has been recognized for its Completeness of Vision and Ability to Execute.

Let’s reimagine the future of observability together.

Gartner, Magic Quadrant for Observability Platforms, By Gregg Siegfried, Matt Crossley, Padraig Byrne, Andre Bridges, Martin Caren, 7 July 2025

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