InfoQ Homepage Companies Content on InfoQ
-
NET Machine Learning: F# and Accord.NET
Alena Hall presents various machine learning algorithms available in Accord.NET - a framework for machine learning and scientific computing in .NET.
/presentations/accord-net-machine-learning/en/mediumimage/Alebig.JPG)
-
Lessons in Extreme .NET Performance
Ben Watson provides a deep-dive introduction to what you need to know to squeeze out the ultimate performance from your .NET code, along with war stories from building the Bing platform query engine.
/presentations/bing-net-performance/en/mediumimage/Benbig.JPG)
-
Eclipse: The Evolution and Future of IDEs
Tyler Jewell introduces Eclipse Che, the platform and the new approach to workspace, demoing along with SAP, Red Hat, IBM, and Microsoft its current level of integration with various cloud providers.
/presentations/eclipse-che-eclipsecon-2016/en/mediumimage/Eclbig.JPG)
-
Containers at Netflx - An Evolving Story
Sangeeta Narayanan looks at the role of containers in simplifying and increasing the reliability of the process of releasing and operating the Netflix software.
/presentations/netflix-containers/en/mediumimage/Sanbig.JPG)
-
Service Discovery and Clustering for .NET developers
Ian Cooper looks at Service Discovery and Clustering approaches and tools, and shows .NET developers how to work with tools such as Serf, Consul, and Zookeeper.
/presentations/brighter/en/mediumimage/Ianbig.JPG)
-
Federated Queries with HAWQ - SQL on Hadoop and Beyond
Christian Tzolov shows different integration approaches between HAWQ and GemFire, showing using Spring XD to ingest GemFire data into HDFS and using Spring Boot to implement a RESTful proxy for HAWQ.
/presentations/federated-queries-hawq/en/mediumimage/Chrisbig.JPG)
-
Bind to the Cloud with Falcor
Jafar Husain provides an inside look at the innovative Falcor, the open source JS data access framework that powers the Netflix UIs and the new UI design patterns it enables.
/presentations/cloud-falcor/en/mediumimage/Jafbig.JPG)
-
Implementing a Highly Scalable Stock Prediction System with R, GemFire and Spring XD
William Markito Oliveira and Fred Melo discuss the architecture and implementation details of a stock prediction solution built entirely on top of open source code and some R and a web interface.
/presentations/r-gemfire-spring-xd/en/mediumimage/Doibig.JPG)
-
Working with Databases & Groovy
Paul King reviews the features in Groovy which make it easy to work with databases - Groovy SQL, datasets -, and working with NoSQL databases such as MongoDB and Neo4J.
/presentations/groovy-sql-nosql/en/mediumimage/Paulbig.JPG)
-
Building Highly Scalable Spring Applications with In-memory Distributed Data Grids
John Blum and Luke Shannon introduce Pivotal GemFire along with the open source offering, Apache Geode. They demonstrate how to effectively build highly scalable applications with GemFire/Apache.
/presentations/gemfire-geode/en/mediumimage/Jobig.JPG)
-
Netty @Apple: Large Scale Deployment/Connectivity
Norman Maurer presents how Apple uses Netty for its Java based services and the challenges of doing so, including how they enhanced performance by participating in the Netty open source community.
/presentations/apple-netty/en/mediumimage/NorbigJPG.JPG)
-
Beyond DevOps: How Netflix Bridges the Gap
Josh Evans uses the Netflix Operations Engineering team as a case study to explore the challenges faced by centralized engineering teams and approaches to addressing those challenges.
/presentations/netflix-operations-devops/en/mediumimage/Josbig.JPG)