InfoQ Homepage Architecture Content on InfoQ
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Beyond Microservices: Streams, State and Scalability
Gwen Shapira talks about how microservices evolved in the last few years, based on experience gained while working with companies using Apache Kafka to update their application architecture.
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RabbitMQ and Kafka
Zoe Vance, Madhav Sathe discuss the architecture and design of RabbitMQ and Kafka, and how that impacts performance, scalability and app design.
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FF4J: Feature Toggling for Spring/Spring Boot Applications
Sasi Peri shows feature toggling using FF4J framework for Spring/Spring Boot applications.
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Coding Without Complexity
Ellen Chisa talks about complexity in software and the need to remove it as much as possible. One possibility is to remove something that is not absolutely needed as a way to reduce complexity.
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User & Device Identity for Microservices @ Netflix Scale
Satyajit Thadeshwar provides useful insights on how Netflix implemented a secure, token-agnostic, identity solution that works with services operating at a massive scale.
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Embracing Chaos!
Paul Osman and Ana Medina discuss onboarding teams onto a Chaos Engineering platform, identifying teams that are ready to do GameDays and creating feedback loops to measure resilience.
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Using Metrics to Ensure Quality Applications in Pivotal Platform
Tom Martin and Sam Reed show how to set up automatic service discovery with Eureka, some auto scaling problems of microservices, and how to configure Prometheus and Grafana to gather and show metrics.
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Monoliths, Microservices, Events, Functions: What It Takes to Go through the Transformation
Dilleswara Anupoju discusses lessons learned building apps in a distributed environment.
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Building Reactive Pipelines: How to Go from Scalable Apps to (Ridiculously) Scalable Systems
Mark Heckler discusses and demoes reactive and highly scalable microservices built with Project Reactor using RabbitMQ, Apache Kafka, and Spring Cloud Stream.
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A Roadmap towards Chaos Engineering
Jose Esquivel presents a roadmap for Chaos Experimentation that can be applicable to any organization.
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Batch Processing in 2019
Michael Minella and Mahmoud Ben Hassine walk through the typical lifecycle of a batch job using modern tools.
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The State of Kotlin Support in Spring
Sébastien Deleuze overviews development with Spring Boot 2.2 and Kotlin, and performs a live coding of a Spring Boot application configured with the Kofu, the Kotlin DSL.
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