InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Real-Time Decisions Using ML on the Google Cloud Platform
Przemyslaw Pastuszka and Carlos Garcia present how Big Data is handled in Google Cloud Platform to build an end-to-end machine learning pipeline.
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Cloud-Native and Scalable Kafka Architecture
Allen Wang talks about how Netflix addresses the issues of stability and scalability in a cloud environment by having many smaller and mostly immutable Kafka clusters with limited state changes.
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Scaling Uber's Elasticsearch Clusters
Danny Yuan talks about how Uber scaled its Elasticsearch clusters as well as its ingestion pipelines for ingestions, queries, data storage, and operations by a three-person team.
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Apache Geode Test Automation and Continuous Integration & Deployment (CI-CD)
Jeff Cherng and Anupama Pradhan discuss how to use Spring Boot, Ansible, and Concourse for Apache Geode application development, mock/integration tests, and no downtime CI-CD pipeline.
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Artificial Intelligence and Machine Learning for the SWE
Rob Harrop describes both his own journey from traditional Software Engineer to AI/ML Engineer, and his experience building a development team with ML at the heart.
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What's New in Spring for Apache Kafka 2.0
Gary Russell discusses Spring's support for Kafka including better threading and a new consumer-aware listener.
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Gaining Control with the Web Animations API
Dan Wilson discusses Web Animations API, how it came to be, what are its benefits like timelines, controls, and its dynamic nature in addition to detailing what is available today and coming soon.
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Pivotal Cloud Foundry, Google Machine Learning, and Spring
Brian Gregory, Brian Jimerson introduce the GCP Service Broker on Pivotal Cloud Foundry and the Google Cloud Machine Learning APIs demonstrating a Spring application using the Machine Learning APIs.
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Rethinking Deep Learning: Neural Compute Stick
Darren Crews talks about the The Movidius Neural Compute Stick (NCS) - a tiny fanless deep learning device that one can use to learn AI programming at the edge.
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Real-Time Data Activation - Analytics, Intelligence & Decision Making
Marcelo Wiermann discusses dealing with real-time analytics with the Lambda Architecture, creating a working data set and data-driven features in an application.
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Kafka Streams - from the Ground Up to the Cloud
Marius Bogoevici introduces the Kafka Streams API and the Kafka Streams processing engine, showing how to write and deploy Kafka Streams applications using Spring Cloud Stream.
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Data Decisions with Real-Time Stream Processing
Serhat Yilmaz talks about how Facebook is using stream processing at scale, the difficulties they have encountered and the solutions they have created to date.
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