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How generative AI facilitates ITOps modernization

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.

Empowering Excellence: Celebrating Five Years of Trust and Innovation

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.

Aggregate, correlate, and act on alerts faster with AIOps-powered Event Management

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.

Unveiling the power of AI in incident management

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.

Improve incident triage with AIOps to reduce downtime

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.

ScienceLogic in Action: Real World Examples of IT Operations Optimization

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.

Consolidate Tools and Solve Enterprise Tech Sprawl with ScienceLogic SL1

The proliferating array of technology tools within many organizations today can make it exceedingly difficult to get true visibility and insight into the IT estate. Amid this tech sprawl, teams find themselves siloed and struggle to monitor and manage diverse tool sets across the enterprise – a state of affairs that increases both costs and complexity while limiting the ability to accurately assess, optimize, and enhance operations.

The rising costs of downtime

IT outages are a financial nightmare. Beyond revenue impact, unplanned downtime translates to lost productivity, frustrated customers, and potential reputation damage. To understand the true impact of these events, Enterprise Management Associates (EMA) conducted a comprehensive study with more than 400 IT professionals from varying company sizes and roles in North America, EMEA, and APAC regions.

Reduce MTTR with BigPanda Similar Incidents

There’s wisdom in past experiences — if you can access it. During live incidents, teams often look for parallels to past situations in their investigation process. Finding the answers is a time-consuming and manual process. You first have to identify similar incidents, then review historical data for insights and details on how previous teams resolved them. There’s no time to waste when SLAs are at stake. Yet that’s how many operators spend their time.

Takeaways from BigPanda 24

Last week saw several big milestones for BigPanda. We launched several new AI-driven capabilities (see below). And we had the privilege of meeting with more than 40 IT operations leaders from customers, including Disney, Nvidia, Autodesk, Lucid Motors, Intel, and Blue Shield, at our customer event, BigPanda 24. Representing some of the most innovative organizations in business and technology, these influencers joined us as part of our customer and technical advisory boards.