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Development

Featured in Development

Practical Benchmarking: How to Detect Performance Changes in Noisy Results

Matt Fleming provides tips for understanding noise, where it comes, and techniques for fighting it, plus some anecdotes and real-life examples from the world of open-source.

All in development

Architecture & Design

Featured in Architecture & Design

If Architectural Experimentation Is So Great, Why Aren’t You Doing It?

Architectural experimentation sounds like a great idea, yet it does not seem to be used very frequently. In this article, we will explore some of the reasons why teams don’t use this powerful tool more often, and what they can do about leveraging that tool for successful outcomes.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Understanding What Really Matters for Developer Productivity: A Conversation with Lizzie Matusov

In this podcast Michael Stiefel spoke with Lizzie Matusov about the dependency of effective, productive, and satisfied teams on good software architecture. Understanding this relationship requires understanding exactly what software productivity really is, how modern software engineering research has become more rigorous and practical, and how to apply that research to software development.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

The (Not So) Hidden Social Drivers behind the Highest Performing Engineering Teams

Lizzie Matusov delves into how trust and psychological safety serve as powerful signals of team success with practical methods to evaluate and measure these key social dimensions.

All in culture-methods

DevOps

Featured in DevOps

Checklist for Kubernetes in Production: Best Practices for SREs

This article provides SREs with a checklist for managing Kubernetes in production environments. It identifies common challenges including resource management, workload placement, high availability, health probes, storage, monitoring, and cost optimization. By implementing consistent GitOps automation across these areas, teams can significantly reduce complexity, and prevent downtime.

All in devops

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AI, ML & Data Engineering

Elevate Developer Experience with Generative AI Capabilities on AWS

Olalekan Elesin discusses how generative AI tools can improve productivity, streamline workflows, and foster a more efficient and effective development environment.

Olalekan Elesin
on Feb 26, 2025

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40:06
AI, ML & Data Engineering

Modernizing DevOps with AI, Boosting Productivity, and Redefining Developer Experience

The panelists discuss how generative AI is boosting productivity, redefining the developer experience, and affecting software development in 2025.

Christian Bonzelet Jessica Andersson Garima Bajpai Shobhit Verma Renato Losio
on Feb 10, 2025

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01:00:47
AI, ML & Data Engineering

Generative AI and Organizational Resilience

Alex Cruikshank discusses where GenAI is likely to have the greatest impact, steps to manage this change, and ways to leverage the shift to AI mediated work to better understand business processes.

Alex Cruikshank
on Aug 02, 2024

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41:36

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