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 conversation, Karthik Kalyanaraman, Co-Founder and CTO of Langtrace, discusses the evolution and importance of observability in AI, particularly for large language models. He shares insights on the challenges faced by developers in implementing observability, the role of OpenTelemetry, and the significance of standards in preventing vendor lock-in. Karthik emphasizes the need for organizations to connect observability to business outcomes and the future potential of AI observability in building trust among engineering teams and executives.
Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.