In this video, Trent Fitz, chief marketing officer of Zenoss, explains the key difference between Generation 1 and Generation 2 AIOps platforms. As organizations develop strategies for implementing AIOps and as they consider different vendor approaches, it’s critical to understand the differences between those approaches. This brief video will help arm you with a key question you need to ask to easily identify the difference between Gen 1 platforms and Gen 2 platforms. It’s all about the types of data being collected.

Trent Fitz, CMO at Zenoss, covers some of the key highlights in the recently released Gartner Market Guide for AIOps Platforms. Having lived in the AIOps world since its inception, Trent offers insights on how to interpret key observations in the research, including the contrast between different types of AIOps tools, common pitfalls, and the direction of the market itself.

Sean McDermott of the Find Flow podcast, brought to you by Windward, interviews guest speakers from Zenoss: Trent Fitz, chief marketing officer, and Ani Gujrathi, chief technology officer. In this insightful episode, they dive into how AIOps has evolved and continues to evolve. We’ve come a long way from Gen 1 AIOps, which was based mainly on root-cause analysis, or pinpointing a problem for the IT team. Gen 2 AIOps is here, and it is the next step up in AIOps. It provides faster insights with topology and connectivity built into the AIOps system.

John Sipple, Staff Software Engineer in AI, at Google Cloud presents Google's story about rethinking anomaly detection. In 2019, Google Smart Buildings asked the team to develop an AI-based fault-detection solution to help find and fix problems in climate control devices in large office buildings. Technicians were dissatisfied with conventional outlier approaches because they didn’t give the necessary insight to predict, diagnose and intervene. The result was a distributed deep-learning solution that provides explanations to aid understanding, prioritizing and fixing faults. We applied it to other domains, like data center monitoring and fraud detection, and then open-sourced the MADI machine learning algorithm behind it. We’ll describe our vision of how AI will shape the future of interpretable anomaly detection.

Watch this GalaxZ21 keynote presentation from George Spafford, Vice President Analyst at Gartner and learn how to improve operational agility with these top 5 methods.

Hear how NetApp uses Zenoss to present a holistic view of the health of their complex IT environment, consisting of nearly 9,000 devices and 300 different applications.

Watch this example of how Zenoss Cloud can be used to identify the root cause of issues in just a few minutes.

Learn how Zenoss Service Impact can help you avoid and overcome service disruptions by correlating your infrastructure to your critical business services.

John Duino, IT director at Oblong Industries, shares about the success his team has achieved with Zenoss Cloud. Learn about their journey and the benefits Oblong Industries has experienced with Zenoss.