InfoQ Homepage Observability Content on InfoQ
About this Podcast
Intended for architects and senior developers.
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Effective Error Handling: a Uniform Strategy for Heterogeneous Distributed Systems
Effective Error Handling: a Uniform Strategy for Heterogeneous Distributed Systems
Jenish Shah, a back-end engineer focused on distributed systems at Netflix, provides more insights into how to handle failures in a distributed systems setup. He shares details on how he built a library that handles exceptions uniformly, regardless of the underlying communication protocol.
on Oct 27, 2025Icon37:47 -
Observability in Java with Micrometer - a Conversation with Marcin Grzejszczak
Observability in Java with Micrometer - a Conversation with Marcin Grzejszczak
Marcin Grzejszczak, a veteran of observability spaces, discusses the current state of the space, including its evolution and the fine-grained details of how to instrument your system to capture all relevant information at every level - both inside services and between services communication.
on Sep 01, 2025Icon35:42 -
Do Microservices’ Benefits Supersede Their Caveats? A Conversation with Sam Newman
Do Microservices’ Benefits Supersede Their Caveats? A Conversation with Sam Newman
Sam Newman, one of the pioneers of microservices, encourages architects to use distributed systems as a last resort architecture. He stresses the importance of focusing on the desired outcome and starting with monoliths, gradually evolving the architecture.
on Jun 16, 2025Icon47:27 -
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Developer-First Observability with Micha "Mies" Hernandez van Leuffen
Developer-First Observability with Micha "Mies" Hernandez van Leuffen
In this episode, Thomas Betts talks with Micha "Mies" Hernandez van Leuffen about observability and incidents, and the roles of developers, SREs and other team members. One challenge is knowing what metrics to track in the first place. A developer-first approach to observability means focusing on metrics that are specific to your application.
on Oct 16, 2023Icon26:52 -
Jessica Kerr on Observability and Honeycomb's Use of AWS Lambda for Retriever
Jessica Kerr on Observability and Honeycomb's Use of AWS Lambda for Retriever
Charles Humble talks to Jessica Kerr about Honeycomb's architecture and use of Serverless, specifically AWS Lambda, as part of their custom column database system called Retriever. They also explore key differences between Retriever and Facebook’s Scuba, and how Honeycomb differs from traditional APM tools.
on Mar 02, 2022Icon28:54
About this Podcast
Discussions on intentional corporate culture and software management approaches.
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InfoQ Culture & Methods Trends in 2025
InfoQ Culture & Methods Trends in 2025
This is the InfoQ Culture & Methods Trends Report for 2025. Featuring the InfoQ editorial team and special guest Charity Majors, they discuss how AI is transforming software development with dramatic productivity gains alongside quality concerns, emphasize the continued importance of team collaboration, observability, engineering metrics, and creating high-performing software teams.
on May 09, 2025Icon01:06:57 -
Resilience, Observability and Unintended Consequences of Automation
Resilience, Observability and Unintended Consequences of Automation
In this podcast, Shane Hastie, the Lead Editor for Culture & Methods, spoke to Courtney Nash about her research on the unintended consequences of automation in software systems, the importance of learning from incidents, and maintaining human expertise in complex systems.
on Feb 28, 2025Icon27:12 -
Trends in Engineering Leadership: Observability, Agile Backlash, and Building Autonomous Teams
Trends in Engineering Leadership: Observability, Agile Backlash, and Building Autonomous Teams
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Chris Cooney about emerging trends in software engineering such as the backlash against "Agile" practices, the growing importance of observability and people-focused metrics, and strategies for aligning teams around common goals while still preserving their autonomy.
on Nov 15, 2024Icon27:47 -
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Making Code Explain Itself – Observability Through AI
Making Code Explain Itself – Observability Through AI
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Dr. Elizabeth Lawler, the founder and CEO of AppMap, about observability in the age of AI, creativity in programming and problems developers face on a day-to-day basis.
on Mar 08, 2024Icon18:30 -
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