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Development

Featured in Development

Beyond the Breach: Proactive Defense in the Age of Advanced Threats

Michael Brunton-Spall discusses some of the most advanced attacks that are in the public domain, mostly attributed in public by commercial organizations.

All in development

Architecture & Design

Featured in Architecture & Design

Transforming Legacy Healthcare Systems: A Journey to Cloud-Native Architecture

Discover how Livi navigated the complexities of transitioning MJog, a legacy healthcare system, to a cloud-native architecture, sharing valuable insights for successful tech modernization. Our experience illustrates that transitioning from legacy systems to cloud-based microservices is not a one-time project but an ongoing journey.

All in architecture-design

AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

Navigating LLM Deployment: Tips, Tricks, and Techniques

Meryem Arik discusses some of the best practices in model optimization, serving and monitoring - with practical tips and real case-studies.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

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.

All in culture-methods

DevOps

Featured in DevOps

From Local to Production: A Modern Developer’s Journey Towards Kubernetes

Urvashi Mohnani discusses the full developer experience of writing an application, containerizing it locally, deploying it to a Kubernetes cluster, and debugging Kubernetes applications locally.

All in devops

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InfoQ Homepage Presentations Google Dataflow Codelab

AI, ML & Data Engineering

Google Dataflow Codelab

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48:17

Summary

Martin Gorner introduces Google Dataflow Codelab, and demos the tools and techniques they are using for data science.

Bio

Martin Gorner is passionate about science, technology, coding, algorithms and everything in between. He joined Google Developer Relations in 2011 and now focuses on parallel processing and machine learning (Dataflow and Tensorflow).