32 min

Trent Fitz, Zenoss Chief Product Officer, shares twenty years of observability wisdom... and what's ahead for AIOps AI and the Future of Work

    • Technology

Trent Fitz is the Chief Product Officer at Zenoss after having spent two decades in product and marketing leadership roles at companies like Trustwave and SailPoint.

Trent owns product strategy and marketing at one of the pioneers in the space. Zenoss was founded in 2005 and has continued to reinvent itself. With the advent of generative AI, it’s more relevant than ever.

We’ve explored the topics of service assurance and monitoring in the past with great guests like Colin Fletcher who coined the term AIOps while at Gartner and Gareth Rushgrove from Snyk who publishes the popular DevOps Weekly newsletter.
The field of monitoring is evolving rapidly as new architecture patterns emerge and the data exhaust they generate continues to increase. 
Listen and learn...
Trent's history lesson in system monitoringThe role of AI in monitoring and operationsTrent's perspective on the evolution of monitoring tool sprawlWhat is AIOps vs. observability, monitoring, or event managementHow service-centric monitoring is essential for dynamic apps based on microservicesThe difference between generation one and two AIOpsWhere are manual rules insufficient and real AI is needed to monitor appsHow LLMs are being used to improve observabilityWhy Big Cloud won't own monitoring of cloud-native appsWill there be a time when AI will replace DevOps engineers?References in this episode...
Colin Fletcher from Gartner on AI and the Future of WorkGareth Rushgrove from Snyk on AI and the Future of WorkCharity Majors on AI and the Future of Work

Trent Fitz is the Chief Product Officer at Zenoss after having spent two decades in product and marketing leadership roles at companies like Trustwave and SailPoint.

Trent owns product strategy and marketing at one of the pioneers in the space. Zenoss was founded in 2005 and has continued to reinvent itself. With the advent of generative AI, it’s more relevant than ever.

We’ve explored the topics of service assurance and monitoring in the past with great guests like Colin Fletcher who coined the term AIOps while at Gartner and Gareth Rushgrove from Snyk who publishes the popular DevOps Weekly newsletter.
The field of monitoring is evolving rapidly as new architecture patterns emerge and the data exhaust they generate continues to increase. 
Listen and learn...
Trent's history lesson in system monitoringThe role of AI in monitoring and operationsTrent's perspective on the evolution of monitoring tool sprawlWhat is AIOps vs. observability, monitoring, or event managementHow service-centric monitoring is essential for dynamic apps based on microservicesThe difference between generation one and two AIOpsWhere are manual rules insufficient and real AI is needed to monitor appsHow LLMs are being used to improve observabilityWhy Big Cloud won't own monitoring of cloud-native appsWill there be a time when AI will replace DevOps engineers?References in this episode...
Colin Fletcher from Gartner on AI and the Future of WorkGareth Rushgrove from Snyk on AI and the Future of WorkCharity Majors on AI and the Future of Work

32 min

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