Operationally Intelligent

Operationally Intelligent
Podcast Description
Operationally Intelligent is the podcast for technical leaders and practitioners turning observability into business value. In each episode, we dive into real-world use cases, practical strategies, and emerging trends in Operational Intelligence—a data-driven approach that goes beyond observability to support continuous improvement, proactive decision-making, and smarter operations. Through informal, conversational interviews with industry experts, we explore how organizations can harness OI to align operations with business outcomes.
Podcast Insights
Content Themes
The show centers on operational intelligence and its application in real-world scenarios, with episodes discussing best practices, data-driven strategies, and trends such as learning from incidents and cultivating a supportive culture for operational improvements; for example, the episode on AWS Best Practices highlights the challenges and solutions related to operational intelligence.

Operationally Intelligent is the podcast for technical leaders and practitioners turning observability into business value. In each episode, we dive into real-world use cases, practical strategies, and emerging trends in Operational Intelligence—a data-driven approach that goes beyond observability to support continuous improvement, proactive decision-making, and smarter operations. Through informal, conversational interviews with industry experts, we explore how organizations can harness OI to align operations with business outcomes.
In this episode of Operationally Intelligent, Nathen Harvey from Google Cloud discusses his journey to leading the DORA team and the significance of DORA in measuring software delivery performance. He explains the core metrics of DORA, the importance of capabilities and conditions for success, and how organizations can implement DORA effectively. The discussion also touches on the role of leadership, the impact of real-time data, and the future of DORA research, particularly in relation to AI.

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