Using Machine Learning Operations (MLOps) Solutions from Dotscience on VMware vSphere with Kubernetes

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Machine Learning (ML) development processes have several similarities to software development, but they are also different in subtle ways. This article describes the application of software development disciplines like version control, checking work into a repository, sharing artifacts between practitioners, dataset and model governance, etc., to the field of machine learning, where versions and models Read more...

Kafka on VMware vSphere with Kubernetes: Deploying the Confluent Operator

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This article describes a set of work that was done at VMware’s labs with Confluent staff to demonstrate deployment of the full Confluent Platform, using the Confluent Operator, on VMware vSphere 7 with Kubernetes.  The Confluent Platform is a collection of processes, including the Kafka brokers and others that provide cluster robustness, management and scalability. Read more...

Best Practices for Enterprise Kubernetes on the VMware SDDC

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In this blog, we discuss how there are multiple benefits of Kubernetes on vSphere, such as Availability, Interoperability, Scalability, and Performance.  Today, we are releasing best practices papers that detail how to architect VMware Enterprise PKS and Red Hat OpenShift on the VMware Software-Defined Data Center (SDDC). The papers describe the technical and operational benefits of Read more...