InfoQ Homepage Conferences Content on InfoQ
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Accelerated Spark on Azure: Seamless and Scalable Hardware Offloads in the Cloud
Yuval Degani shows how hardware accelerations in Azure can be utilized to speed-up Spark jobs, with the aid of RDMA (Remote Direct Memory Access) support in the VM.
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Less Adoption in MTS Kassa
Illia Pavlichenko and Sergei Muzykantov share how MTS Kassa has adopted LeSS, some of the lessons learned and the failures encountered.
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Defense in Depth: in Depth
Chelsea Komlo looks at what defense in depth means from a variety of roles and perspectives, how it can help organizations prevent unforeseen attacks and limit damage when compromises do occur.
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Seven Strategies for Scaling Product Security
Angelo Prado discusses seven strategies for scaling and embedding security in a product.
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Data Security Dreams and Nightmares
Alex Holden shares his lessons learned by observing and assisting with data breaches, and explains how to avoid them and what can be done to emerge successfully from a bad situation.
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Making Security Usable: Product Engineer Perspective
Anastasiia Voitova goes through several stages of inception and implementation of database encryption and intrusion detection tools.
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Reactor Netty, the Default Spring Boot 2.0 Runtime
Violeta Georgieva discusses the architecture of Reactor Netty along with the major features and best practices and recommendations which are demonstrated with live coding.
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Spring Framework 5.1 on JDK 8 & 11
Juergen Hoeller illustrates the benefits of a JDK 8 baseline and the compatibility challenges on JDK 11, providing upgrade advice for Spring applications on the classpath and the module path.
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Pivotal Cloud Foundry 2.3: A First Look
Pieter Humphrey, Jared Ruckle discuss some of the features in CF 2.3, including polyglot service discovery, service instance sharing, Spring Cloud Services 2.0, PAS for Windows and Steeltoe.io.
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Multi-Service Reactive Streams Using Spring, Reactor, and RSocket
Ben Hale and Rossen Stoyanchev explore how to create a fully reactive multi-service architecture utilizing the RSocket protocol.
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Implementing AutoML Techniques at Salesforce Scale
Matthew Tovbin shows how to build ML models using AutoML (Salesforce), including techniques for automatic data processing, feature generation, model selection, hyperparameter tuning and evaluation.
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How to Write Code That Documents Itself
Dann Michelson discusses writing code that documents itself using proper naming, understandable architecture, consistent code style, and specialized tools.