InfoQ Homepage Performance Content on InfoQ
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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.
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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.
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Why Rust Will Help You Deliver Better Low-latency Systems and Happier Developers
Andrew Lamb, a veteran of database engine development, shares his thoughts on why Rust is the right tool for developing low-latency systems, not only from the perspective of the code’s performance, but also looking at productivity and developer joy. He discusses the overall experience of adopting Rust after a decade of programming in C/C++.
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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.
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Balancing Coupling in Software Design with Vlad Khononov
In this episode, Thomas Betts speaks with Vlad Khononov about balancing coupling in software design, the subject of his recent book. They discuss how coupling is necessary for a system to function, but has to be balanced to allow the system to evolve. Vlad identifies three factors that can be used to measure coupling: knowledge sharing, distance, and volatility.
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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.
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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.
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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.
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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.
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Kanban is a Tool for Continuous Improvement
In this podcast Shane Hastie spoke to Todd Little, Chairman of Kanban University, about the principles of Kanban and how they can be used to improve work processes in delivery teams.