Canonical validates Charmed Apache Spark on VMware vSphere Kubernetes Service
Canonical has officially validated Charmed Apache Spark for deployment on VMware vSphere Kubernetes Service (VKS) to streamline big data workloads in private clouds.
Summary
Canonical has announced the validation of Charmed Apache Spark on VMware vSphere Kubernetes Service (VKS), which is the Kubernetes component of VMware Cloud Foundation (VCF). This move aims to provide enterprise data teams with a more reliable and supported cloud-native architecture for big data processing.
The solution leverages Ubuntu images that run natively on VKS, building upon existing collaboration between Canonical and Broadcom. By using Charmed Apache Spark, users can deploy, manage, and monitor Spark workloads across both private data centers and public clouds using standardized Kubernetes workflows.
Operational features of Charmed Apache Spark on VKS
- Lifecycle Management: Utilizes Juju for automated operations, including deployment, scaling, and Day-2 tasks like security patching and monitoring.
- Deployment Model: Provides container images and CLI tooling designed for cloud-native portability across different Kubernetes environments.
- Security Integration: Offers continuous CVE patching and enterprise governance through a single Ubuntu Pro license.
- Infrastructure Optimization: Integrates with VMware's virtualization and AI stacks to maximize compute resource utilization within private cloud environments.
Why it matters
This validation simplifies the transition for enterprise data engineers moving big data workloads from legacy systems to Kubernetes-based private clouds. It strengthens the interoperability between Ubuntu-based open-source data tools and VMware's enterprise virtualization stack.
Original reference: canonical.com →