IT teams need immediate and automatic access to machine data and institutional knowledge to move faster and make the right decisions. And they need context to identify incidents and understand how to resolve them. AIOps enables this by transforming noisy and fragmented operations data into actionable insights. This is the foundation of full-context operations. Full-context operations combines observability and other machine-generated data with historical, expert, and institutional knowledge.

At ScienceLogic, we’re thrilled to mark a significant milestone: five consecutive years of earning TrustRadius’s Top Rated award. Since 2016, the TrustRadius Top Rated Awards have been the B2B industry’s standard for unbiased recognition of excellent technology products. Based entirely on customer feedback, results have never been influenced by analyst opinion or status as a TrustRadius customer.

Maintaining service availability is a challenge in today’s complex cloud environments. When a critical incident arises, the underlying cause can be buried in a sea of alerts from interconnected services and applications. Central operations teams often face an overload of disparate alerts, causing confusion, delayed incident response, alert fatigue, and redundant resolution efforts. These issues can negatively impact revenue and customer experience, especially during an outage.

The emergence of AI opens new and innovative possibilities, simplifies operations, and boosts overall success. With AIOps, your technical organization can achieve unparalleled efficiency, productivity, and profitability. This cutting-edge technology leads us toward a brighter, more prosperous future with exciting opportunities to grow and thrive.

Downtime is expensive, both to your budget and your brand reputation. As IT outage costs increase, it’s critical to identify and prioritize incidents quickly to minimize the impact on your organization. In a recent survey of more than 400 global IT professionals, Enterprise Management Associates found that unplanned downtime costs average $14,056 per minute. That’s an increase of nearly 10% from 2022.

It’s one thing to conceptualize a solution to streamline and automate IT operations in modern hybrid cloud environments, but it’s another entirely to build a platform that stands up to the genuine rigors of real-world large enterprise use cases. With the ScienceLogic SL1 platform for IT operations monitoring and management, we deliver the right combination of capabilities and features designed to work together seamlessly at scale, not in abstract, in real time.