InfoQ Homepage Presentations
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Incident Management at Netflix Velocity
Dave Hahn talks about how Netflix engineering teams think about failure, why they believe chaos is their friend, failure is guaranteed, and why Netflix is better off having both.
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TensorFlow: Pushing the ML Boundaries
Magnus Hyttsten talks about how Google uses Machine Learning to address problems that were not solvable a year ago, looking at models and how they can be built.
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AI & Security: Lessons and Challenges
Dawn Song presents results in the area of secure deep learning and how DL systems could be fooled and what can be done, how AI and DL can enable better security, and how security can enable better AI.
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Manual Testing is Dead. Long Live Manual Testing
Tony Bruce discusses testing and the differences between manual and automated testing, if such a distinction should exist.
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Data-Based Coaching Brings Humanness to Agile Teams
Bazil Arden discusses how ‘data-based coaching’ helps to surface and tackle cognitive biases, focus on the wider system and counter political forces, enhancing psychological safety.
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PCF Platform Monitoring with Prometheus and Grafana
Jamie Christian and Alan Strader discuss Northern Trust's platform monitoring solution based on Grafana, Prometheus and Alertmanager.
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Continuous Integration and Deployment with Jenkins for PCF
Andrei Krasnitski introduces Jenkins for PCF and shows how to create CI/CD pipelines to perform continuous release.
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Bootiful Development with Spring Boot and React
Matt Raible shows how to develop with Java 8, Spring Boot, React, and TypeScript.
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Building Enterprise Cache Based on CQRS
Komes Subramaniam discusses building a system that is implementing the CQRS pattern with a presentation friendly data model.
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Building Developer Pipelines with PKS, Harbor, Clair, and Concourse
Thomas Kraus and Merlin Glynn show how companies can leverage PKS, Kubernetes, Harbor, Clair, and Concourse to build and deploy code in a consistent, predictable, and declarative manner.
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Top Ways to Deliver Your Spring Code to the Cloud
Brian Benz shows how Java developers can deliver Spring code to Azure based on Spring Music as an example, using Linux command line tools, open source tools such as Jenkins, and other free SDKs.
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Mining Functional Patterns
Debasish Ghosh discusses refactoring imperative code into functional patterns, improving code quality from the point of view of modularity, compositionality and simplicity.
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