Earlier this year, we released Data Accelerator for Apache Spark as open source to simplify working with streaming big data for business insight discovery.
Hello KubeCon and welcome to San Diego! It’s fantastic to have the chance to get some warm California sun, as well as the warmth of the broader Kubernetes community.
Today the Open Neural Network eXchange (ONNX) is joining the LF AI Foundation, an umbrella foundation of the Linux Foundation supporting open source innovation in artificial intelligence, machine learning, and deep learning.
Ecosystem complexity increases every time we look around, our dizzying panoply of choices multiplies by the day, and (now, as always) we need a way to find, share, and operate applications reliably, in production, and at scale.
It is remarkable to see the transformation over the last few years as more and more developers build scalable, cloud native applications, taking advantage of managed services to deploy and run them.
Spring and Java are first-class citizens on Microsoft Azure and our engineering teams have been working really hard for the past few years to make the developer experience for building and running Spring applications on Azure delightful and productive.
Last year at Microsoft Connect and DockerCon we announced the Cloud Native Application Bundle (CNAB) specification in partnership with Docker, HashiCorp, and Bitnami.