InfoQ Homepage Conferences Content on InfoQ
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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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Spring Cloud on AWS
Agim Emruli presents common patterns and best-practices to run the application on the AWS cloud and how to use the platform provided services efficiently.
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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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A Dark and Stormy Night: Operational Antipatterns
Kiran Bhattaram shares common operational antipatterns, useful tactics and stories learned in difficult situations.
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Uses of Big Data by a Non-Profit Engaged in Conducting Events Funded in Part by Third Party Sponsors
Thomas Grilk discusses how a non-profit can efficiently use data from customers/athletes in its marketing and sponsorship activities while respecting the privacy and confidentiality of its customers.
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Instant and Personal: Searching Your Network at LinkedIn
Shakhina Pulatova overviews the Instant Search experience at LinkedIn and how they use Machine Learning to deliver personalized results as the query is typed.
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Introduction to DocumentDB
Brian Korzynski introduces DocumentDB, a document database offering on the Azure platform: what it is, how to use it, how much it costs, and how it compares to other cloud document database offerings.
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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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Advanced Spring Data REST
Covering the features added to Spring Data REST in recent releases, Oliver Gierke looks at how to integrate manually coded REST resources, tweak representations and work with lookup types.
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Let's Visualize Your Spring Boot Applications
Shin Tanimoto offers techniques for visualizing microservices built by Spring Boot applications using Elasticsearch, Kibana and Spring Cloud Sleuth.
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Spring Data and In-Memory Data Management in Action
John Blum and Luke Shannon present and code a live Spring Boot-based application powered by Apache Geode (a.k.a. Pivotal GemFire) running on CloudFoundry.
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Consuming Data Services with Spring Apps on Cloud Foundry
This talk covers how the Spring Boot and the Cloud Foundry Java Buildpack auto-configuration mechanisms work, their limitations, and how to explicitly configure connections when needed.
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