O11ycast Podcast

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465 - 775 listeners Neutral 4.8 rating 31 reviews 80 episodes USA

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Exploring the observability side of software development.

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Recent Hosts, Guests & Topics

Here's a quick summary of the last 3 episodes on O11ycast.

Hosts

Charity Majors Martin Thwaites Ken Rimple Jessica Kerr o11ycast crew

Previous Guests

Hazel Weakly

Hazel Weakly is a prominent figure in the field of observability and software development. She has extensive experience in building and scaling observability tools and has contributed to various projects that enhance the understanding of system performance and reliability. Hazel is known for her insights into observability versioning and the integration of AI in monitoring systems.

Matt Klein

Matt Klein is a well-respected engineer and the creator of Envoy, a high-performance proxy designed for cloud-native applications. With a strong background in distributed systems and microservices, Matt has been instrumental in advancing the conversation around observability and its role in modern software architecture. He frequently speaks at industry conferences and shares his expertise on the future of observability tools.

Kent Beck

Kent Beck is a renowned software engineer and the creator of Extreme Programming (XP). He has significantly influenced the field of software development with his work on Agile methodologies and test-driven development (TDD). Beck has authored several influential books, including 'Extreme Programming Explained' and 'Test-Driven Development: By Example'. He is also a co-founder of the Agile Alliance and has been involved in various software projects that emphasize collaboration and iterative development.

Hamel Husain

Hamel Husain is a prominent figure in the field of observability and AI systems. He has extensive experience in software development and monitoring, particularly in the context of AI. Hamel is known for his work at Honeycomb, where he has contributed to the development of tools that enhance the reliability and observability of AI models. His insights into error analysis and metrics are highly regarded in the tech community.

Topics Discussed

observability observability versioning cost and ROI future of observability tools AI business intelligence augmented coding AI-assisted coding software development developers AI agents AI systems monitoring off-the-shelf metrics error analysis AI models reliability Honeycomb Query Assistant AI observability

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Episodes

Here's the recent few episodes on O11ycast.

0:00 40:36

Ep. #81, Observability 3.0-vNext-final-DRAFT with Hazel Weakly and Matt Klein

May 14, 2025

Charity Majors Martin Thwaites

Hazel Weakly Matt Klein

observability observability versioning cost and ROI future of observability tools AI business intelligence

In episode 81 of o11ycast, Charity Majors and Martin Thwaites dive into a lively discussion with Hazel Weakly and Matt Klein on the evolving landscape of observability. The guests explore the concept of observability versioning, the challenges of cost and ROI, and the future of observability tools, including the potential convergence with AI and business intelligence.

0:00 39:49

Ep. #80, Augmented Coding with Kent Beck

April 30, 2025

Ken Rimple Jessica Kerr

Kent Beck

augmented coding AI-assisted coding software development developers AI agents

In episode 80 of o11ycast, Ken Rimple and Jessica Kerr chat with Kent Beck about the emerging world of AI-assisted coding. Beck shares his experiences with "augmented coding," discussing the benefits, challenges, and the evolving relationship between developers and AI agents. They explore how these tools are changing software development practices and what it means for the future of coding.

0:00 46:48

Ep. #79, AI and Otel: Look at your Data with Hamel Husain

March 18, 2025

o11ycast crew

Hamel Husain

AI systems monitoring off-the-shelf metrics error analysis AI models reliability Honeycomb Query Assistant AI observability

In episode 79 of o11ycast, Hamel Husain joins the o11ycast crew to discuss the challenges of monitoring AI systems, why off-the-shelf metrics can be misleading, and how error analysis is the key to making AI models more reliable. Plus, insights into how Honeycomb built its Query Assistant and what teams should prioritize when working with AI observability.

Ratings

Global:

4.8 rating 31 reviews

USA

4.8 ratings 21 reviews

UK

4.9 ratings 8 reviews

Canada

5.0 ratings 1 reviews

New Zealand

5.0 ratings 1 reviews

Ireland

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Australia

0.0 ratings 0 reviews

Singapore

0.0 ratings 0 reviews

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