InfoQ Homepage Architecture & Design Content on InfoQ
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Bootiful Microservices in a Legacy Environment: Lessons Learned
David Julia describes some patterns that Pivotal Labs have employed over the last two years of building Spring Boot based microservices in the context of legacy systems.
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Microservices: Organizing Large Teams for Rapid Delivery
The speakers discuss the organizational structure and communication and development strategies and tools to allow teams to work in parallel without drowning in process overhead and coordination costs.
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The Journey from Monolith to Microservices: A Guided Adventure
Mike Gehard takes the journey from monolith to microservices.
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Orchestrate All the Things! with Spring Cloud Data Flow
Eric Bottard and Ilayaperumal Gopinathan discuss easy composition of microservices with Spring Cloud Data Flow.
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Java (SE) State of the Union
Gil Tene presents the current state of Java SE and OpenJDK, the role of Java in the Big Data and Infrastructure components, JCP, the ecosystem, trends, etc.
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Scaling Quality on Quora Using Machine Learning
Nikhil Garg talks about the various Machine Learning problems that are important for Quora to solve in order to keep the quality high at such a massive scale.
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Iterative Design for Data Science Projects
Bo Peng goes over how Datascope iterated on the major pieces of the Expert Finder application project to produce actionable insights and recommendations on methodologies.
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Reactive Kafka
Rajini Sivaram talks about Kafka and reactive streams and then explores the development of a reactive streams interface for Kafka and the use of this interface for building robust applications.
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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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