InfoQ Homepage Presentations
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Taming Large State: Lessons from Building Stream Processing
Sonali Sharma and Shriya Arora describe how Netflix solved a complex join of two high-volume event streams using Flink.
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Hallway Testing - Cool Face of Usability Testing
Ewa Marchewka discusses good practices in hallway testing, who should be involved and how, what projects can benefit from this technique, when to use it, and what to avoid.
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Demystifying the Most Significant Java Language Features from 9 to 11
Ionut Balosin discusses some of the Java features appearing in Java 9, 10 and 11.
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Is Your Culture Agile-Friendly or Agile-Repellent?
Zak Meziane takes an interactive journey into the key components of an agile friendly culture, such as psychological safety and trust, and explores ways to develop a framework for cultural change.
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Ship Fast and Pay Attention: Five Lessons in Applying Observability
Dan Abel shares lessons learned from shipping more often with fewer tests, and how that built a better system for their users.
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The Halo of Resilience Engineering
J. Paul Reed looks at how some of the pillars of Resilience Engineering might help and a team can deal with the changes forced to confront.
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Cynefin and Sense-Making in the Digital World
Kaimar Karu introduces the basic concepts in Cynefin and describes its applicability to IT management and DevOps.
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More Devs, No Problems: Enabling Self-Service Access to Kubernetes
Fabio Yeon discusses how Tanzu Mission Control helps with security and management of Kubernetes clusters.
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What’s Your App Pulse? How We Built Metrics Observability in Large Enterprise Hybrid Clouds
Lois Blanc and Yang Yu discuss using Pulse, a Cloud Foundry marketplace service that consolidates and contextualizes an application's metrics in a single Grafana dashboard.
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Reflecting on a Life Watching Movies and a Career in Security
Jason Chan talks about some trends in the movie industry that relate well to similar changes in technology and security.
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Linux Foundation's Project EVE: a Cloud-Native Edge Computing Platform
Roman Shaposhnik covers design and implementation of a novel Edge Computing platform created at ZEDEDA Inc. and later used as a founding project for the Linux Foundation's LF Edge initiative.
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Deep Learning at Scale: Distributed Training and Hyperparameter Search for Image Recognition Problems
Michael Shtelma discusses methods and libraries for training models on a dataset that does not fit into memory or maybe even on the disk using multiple GPUs or even nodes.
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