InfoQ Homepage DevOps Content on InfoQ
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Architecting for Cloud Native Data: Data Microservices Done Right Using Spring Cloud
Fred Melo introduces Spring Cloud Stream from a Data Microservices perspective.
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Secure & Dynamic App Config at GapTech with Spring Cloud, Vault and Consul
Nivesh Gopathi describes the use cases for dynamic configuration and application secrets management, and how GapTech are solving these at scale using Spring Cloud Config, Vault and Consul.
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Consumer Driven Contracts and Your Microservice Architecture
Marcin Grzejszczak shows how to use the Spring Cloud Contract Verifier to stub HTTP / Messaging collaborators, faking microservices with stubs that were tested against their producer.
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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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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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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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