InfoQ Homepage Programming Content on InfoQ
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Machine Learning and End-to-End Data Analysis Processes in Spark Using Python and R
Debraj GuhaThakurta discusses ML and data analysis processes in Spark using examples written in Python and R.
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Machine Learning Your Way to Smarter API Error Responses
Steven Cooper discusses using machine learning to understand malformed API requests to not only respond with a best fit response, but capture the user errors for future responses.
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Autonomous Operations: Microservices, ML and AI
Rob Harrop discusses the increasing automated field of operations and what the future might hold when machine learning and AI techniques are brought to bear on the problem of systems operations.
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Hypermedia Myths and Misconceptions
Glenn Block discusses the truth and myth beyond some beliefs: the web was built for hypermedia, there is no REST without hypermedia, hypermedia is the magic cure for all API ills, etc.
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IoT in the Cloud: Build & Unleash the Value in Your Renewable Energy System
Mark Heckler introduces the IoT & Cloud concepts and demonstrates how one necessitates the other.
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I Can't Believe It's Not a Queue: Using Kafka with Spring
Joe Kutner talks about Kafka and where it fits in a Spring app and how to make it do things message queues simply can't.
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Streaming Live Data and the Hadoop Ecosystem
Oleg Zhurakousky discusses the Hadoop ecosystem – Hadoop, HDFS, Yarn-, and how projects such as Hive, Atlas, NiFi interact and integrate to support the variety of data used for analytics.
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Big Fish, Little Fish, Cardboard Box: A Tale of Acquisition, Adjustment and Acceptance
Paula Kennedy talks about the initial fears of acquisition and cultural change made in a company when it is acquired by a bigger-fish company.
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Reactive Streams, j.u.concurrent, & beyond!
Konrad Malawski explains what the word Stream means, then looks at how its protocol works and how one might use it in the real world showing examples using existing implementations.
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Instant Security and Scalable User Management in Spring Boot
Les Hazlewood goes beyond the traditional way to secure applications and deep dives into how Spring Security + Stormpath offer an instant user management system for Spring Boot applications.
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Spring Data Hazelcast: Fluently Accessing Distributed Repositories
Victor Gamov and Neil Stevenson present using Spring Data for a Hazelcast project, built on the KeyValue module and providing infrastructure components for creating repository abstractions.
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The Seven Righteous Fights
Heidi Waterhouse discusses seven issues to tackle during project development: Localization, Security, Extensibility, Documentation, Affordance, Acceptance, Accessibility.
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