InfoQ Homepage Conferences Content on InfoQ
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Amazon ECS: a Platform to Run Production Containers
Uttara Sridhar dives deep into the architecture behind Amazon ECS and demonstrates the key features to build and run a container-based application on Amazon ECS.
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Elastic Efficient Execution of Varied Containers
Sharma Podila reviews the state of containers usage in Netflix, discussing projects Titus and Mantis, AWS integration, and using Fenzo to run an elastic infrastructure for a varied mix of workloads.
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The Past, Present, and Future of JavaScript
Jay Phelps leads a discussion with Jafar Husain and Stefan Penner through the history of the TC39 specification process, revealing new features coming to a browser near us: ES2015 and beyond.
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Mesos: A State-of-the-art Container Orchestrator
Jie Yu discusses how containers are managed in Mesos, the future of container support in Mesos, and shows some of the new container networking and storage features.
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Building a Microservices Platform with Kubernetes
Matthew Mark Miller discusses Kubernetes’ primitives and microservices patterns on top of them, including rolling deployments, stateful services and adding behaviors via sidecars.
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Azure Service Fabric: Microservices Architecture Made Ridiculously Simple
Chase Aucoin explains using Microsoft Service Fabric to create microservices, demoing how to migrate existing services to Service Fabric.
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What Are You Seeing That I'm Not Seeing? Developing Empathy Skill
Andrew Annett leads a minds-on session that explores the specific challenge of developing empathy skills helping participants to get an understanding of the different types of empathy.
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Building .NET Microservices
Kevin Hoffmann and Chris Umbel discuss building .NET microservices and deploying them to the Spring Cloud.
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Implementing Microservices Tracing with Spring Cloud and Zipkin
Marcin Grzejszczak and Reshmi Krishna describe how to do distributed tracing with Spring Cloud Sleuth and Zipkin, demoing incorporating these technologies into an existing stock trading application.
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How to Properly Blame Things for Causing Latency: An Introduction to Distributed Tracing and Zipkin
Adrian Cole overviews how to debug latency problems using call graphs created by Zipkin, taking a look at the ecosystem, including tools to trace Ruby, C#, Java and Spring Boot apps.
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Implementing Config Server and Extending It
Clint Checketts discusses the concerns to consider when rolling out a config server around security, encryption, and location of repositories, and Config Server's extensibility.
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Putting a SpEL on Spinnaker: Evolving an Expression Language for Continuous Delivery at Netflix
Tomas Lin discusses Spinnaker and SpEL, an open source, multi-cloud continuous delivery platform that is used by over 90% of cloud deployments at Netflix.