InfoQ Homepage Spring Cloud Content on InfoQ
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Operating a High Velocity Large Organization with Spring Cloud Microservices
Noriaki Tatsumi discusses building a microservices architecture on Spring Cloud that's reliable, resilient, and scalable.
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Machine Learning Exposed!
James Weaver takes a deeper dive into machine learning topics such as supervised learning, unsupervised learning, and deep learning, surveying various machine learning APIs and platforms.
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Leadership Election with Spring Cloud Cluster
Dave Syer shows how Spring Cloud Cluster provides a simple abstraction for leader election and how it is implemented using Zookeeper, Hazelcast and etc.
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Get Off the Bus, Gus: 50 Ways to Leave Your Mainframe
Rohit Kelapure provides guidance and best practices in migrating monolithic mainframe apps and data including JCLs wrapped in CICS and IMS using Spring components like Spring Data Flow, Cloud, Batch.
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Lessons Learned from Migrating Legacy Enterprise Applications to Microservices
Ross Zhang and Jun Li talk about how they have successfully solved many puzzle pieces with migrating traditional Java enterprise applications using Spring Boot, Spring Cloud and Cloud Foundry.
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How to Train Your Microservice
Doug Sherman reviews the efforts that took place in the initial phases which incorporated targeted parts of the Spring Framework, as well as more current efforts that leveraged Spring projects.
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Cloud Native Java with Spring Cloud Services
Craig Walls and Roy Clarkson introduce the capabilities provided by Spring Cloud Services and demonstrate how to deploy cloud native applications to Cloud Foundry.
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Cloud Native Java
Josh Long looks at how high performance organizations like Ticketmaster, Alibaba, and Netflix make short work of that complexity with Spring Boot and Spring Cloud.
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Building a Next-generation Cloud e-Commerce Platform with Spring
Petar Tahchiev demos a typical e-commerce project with the Nemesis platform, listing the problems faced and the Spring projects used: Data, Session, Cloud, Boot, MVC, Security, etc.
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Hadoop Workflows and Distributed YARN Apps using Spring Technologies
The authors discuss how Spring for Apache Hadoop can make developing workflows with Map Reduce, Spark, Hive and Pig jobs easier, and using Spring Cloud to build distributed apps for YARN.
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Message-driven Microservices in the Cloud
Mark Fisher and Dave Syer perform a series of live demos on different platforms ranging from local to a remote Cloud to show the simplicity of the Spring Cloud Stream developer experience.
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Spring Cloud *: Exploring Alternative Spring Cloud Implementations
Spencer Gibb discusses the Spring Cloud abstractions and interfaces that an implementation might choose to implement: DiscoveryClient, LoadBalancerClient, Configuration and Bus.