InfoQ Homepage Architecture & Design 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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Building Resilient and Evolutionary Data Microservices
Vinicius Carvalho talks about the role of a centralized Schema repository, and how can we work with different data models and protocols to achieve schema evolution.
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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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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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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.
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Developing Microservices with Aggregates
Chris Richardson describes how to use aggregates to design modular business logic that can be partitioned into microservices.
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Load Balancing is Impossible
Tyler McMullen discusses load balancing techniques and algorithms such as Randomized Least-conns, Join-Idle-Queue, and Load Interpretation.
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Moving from Monolithic Architecture to Spring Cloud and Microservices
Travis Cherry and Mary Ann Wayer discuss monolithic architectural patterns, JBoss apps, lessons learned moving to Spring MVC SPA, then microservices with Spring Boot, Netflix OSS and Spring Cloud.
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