We are excited to announce the release of a paper detailing the best practices for deploying enterprise Java applications on VMware, including key considerations for architecture, performance, design and sizing, and high availability. This information should help the IT professionals to successfully deploy and run Java environments on VMware vSphere™. More than 50% of enterprise Read more...
Apache Spark is a very popular application platform for scalable, parallel computation that can be configured to run either in standalone form, using its own Cluster Manager, or within a Hadoop/YARN context. A growing interest now is in the combination of Spark with Kubernetes, the latter acting as a job scheduler and resource manager, and Read more...
In this article, we explore the tools and process for (1) training a machine learning model on a given dataset using the H2O Driverless AI (DAI) tool, and (2) deploying a trained model, as part of a scoring pipeline, to a REST server for use by business applications. All of the infrastructure requirements for this Read more...
In an earlier VMware blog article and demo on machine learning, we used the H2O Driverless AI tool, deployed on VMware vSphere-based VMs, for feature engineering, choosing and training a machine learning model and finally for creation of a deployable ML pipeline. A big advantage of using this H2O Driverless AI tool in virtual machine form on Read more...
Introduction This blog attempts to address the concerns around the recent Java SE 8 public updates and what it means to VMware customers who use Java in their environment. The below content is a collection of updates from Oracle Corporation which has been accumulated and posted in this blog for ease of reading for Read more...
