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ScienceLogic Raises $105 Million in Series E Financing

ScienceLogic raised $105 million in growth financing.

Silver Lake Waterman led the company’s Series E round with participation from existing investors Goldman Sachs, Intel Capital and NewView Capital. The investment will support the company’s continued innovation in the AIOps market and further broaden ScienceLogic’s position within the $30+ billion IT Operations Management software market.

“More than ever, IT Operations Management has taken root as a front-office priority supporting mission-critical digital experiences that define the way we live, work and play. As large enterprises shift workloads to the cloud while managing on-prem resources, new tools are paramount to deliver service visibility and faster incident resolutions made better by advanced AI/ML technologies,” said Dave Link, Founder & CEO of ScienceLogic. “What we're witnessing is a major investment cycle away from legacy monitoring tools and toward AIOps platforms.”

The funding is intended to accelerate ScienceLogic’s product development and engineering leadership, supporting the company’s broader expansion plans and the reach of its flagship SL1 digital infrastructure monitoring platform. Funds are expected to be allocated toward recruitment efforts and product investments aimed at cloud-native technologies including microservices and container solutions, AI/machine learning, and hybrid cloud operations that transform digital experiences and enhance security.

“The ScienceLogic team has built a leading platform to monitor mission-critical infrastructure and applications and is at the center of some of the largest, most complex IT environments at the forefront of digital transformation,” said Shawn O’Neill, Managing Director and Group Head of Silver Lake Waterman. “Dave Link and the leadership team have a long track record of building value and trust with customers and we look forward to partnering with the team and helping drive further adoption.”

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ScienceLogic Raises $105 Million in Series E Financing

ScienceLogic raised $105 million in growth financing.

Silver Lake Waterman led the company’s Series E round with participation from existing investors Goldman Sachs, Intel Capital and NewView Capital. The investment will support the company’s continued innovation in the AIOps market and further broaden ScienceLogic’s position within the $30+ billion IT Operations Management software market.

“More than ever, IT Operations Management has taken root as a front-office priority supporting mission-critical digital experiences that define the way we live, work and play. As large enterprises shift workloads to the cloud while managing on-prem resources, new tools are paramount to deliver service visibility and faster incident resolutions made better by advanced AI/ML technologies,” said Dave Link, Founder & CEO of ScienceLogic. “What we're witnessing is a major investment cycle away from legacy monitoring tools and toward AIOps platforms.”

The funding is intended to accelerate ScienceLogic’s product development and engineering leadership, supporting the company’s broader expansion plans and the reach of its flagship SL1 digital infrastructure monitoring platform. Funds are expected to be allocated toward recruitment efforts and product investments aimed at cloud-native technologies including microservices and container solutions, AI/machine learning, and hybrid cloud operations that transform digital experiences and enhance security.

“The ScienceLogic team has built a leading platform to monitor mission-critical infrastructure and applications and is at the center of some of the largest, most complex IT environments at the forefront of digital transformation,” said Shawn O’Neill, Managing Director and Group Head of Silver Lake Waterman. “Dave Link and the leadership team have a long track record of building value and trust with customers and we look forward to partnering with the team and helping drive further adoption.”

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A major architectural shift is underway across enterprise networks, according to a new global study from Cisco. As AI assistants, agents, and data-driven workloads reshape how work gets done, they're creating faster, more dynamic, more latency-sensitive, and more complex network traffic. Combined with the ubiquity of connected devices, 24/7 uptime demands, and intensifying security threats, these shifts are driving infrastructure to adapt and evolve ...

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The development of banking apps was supposed to provide users with convenience, control and piece of mind. However, for thousands of Halifax customers recently, a major mobile outage caused the exact opposite, leaving customers unable to check balances, or pay bills, sparking widespread frustration. This wasn't an isolated incident ... So why are these failures still happening? ...

Cyber threats are growing more sophisticated every day, and at their forefront are zero-day vulnerabilities. These elusive security gaps are exploited before a fix becomes available, making them among the most dangerous threats in today's digital landscape ... This guide will explore what these vulnerabilities are, how they work, why they pose such a significant threat, and how modern organizations can stay protected ...

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

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