Empowering Platform Engineers with native Kubernetes Multi-Cluster Management in VMware Cloud Foundation

Platform Engineer Challenges with Kubernetes Infrastructure Management New VKS Cluster Management Capabilities via VCF Automation Learn More Related Articles VCF Breakroom Chats Episode 60: Infrastructure Modernization, Health, and APIs for Private Cloud Empowering Platform Engineers with native Kubernetes Multi-Cluster Management in VMware Cloud Foundation VCF Breakroom Chats Episode 61: From VI Admin to Cloud Hero - Building a Multi-Tenant Cloud with VCF 9.0 We’re thrilled to announce the latest release of VMware Cloud Foundation (VCF), marking a pivotal moment for platform engineers who have been seeking a unified, enterprise-grade solution for managing Kubernetes (K8s) infrastructure at scale. This groundbreaking release introduces native K8s multi-cluster management capabilities in VCF accessed through the VCF Automation consumption experience. It’s specifically designed to address the complex challenges that platform engineers face when orchestrating K8s workloads across distributed environments. This capability provides platform engineers with control over their K8s environments, while maintaining the simplicity and operational consistency they need. Its new K8s multi-cluster management capabilities complement built-in private cloud services (VM, vSphere Kubernetes Service (VKS) (K8s runtime), Network, Volume, VM Image) that allow engineers to provision VMs and VKS clusters as K8s objects using K8s manifests. Engineers can use the cloud services and Infrastructure as Code to create version-controlled blueprints (e. g. , for provisioning VKS clusters and deploying applications on them) publishable to a self-service catalog for developers. Together the new native K8s multi-cluster management and cloud services allow organizations to run their entire application portfolio and manage the underlying K8s infrastructure on a single, streamlined platform. Platform engineers face an increasingly complex landscape managing K8s infrastructure due to the exponential growth of containerized applications. Traditional approaches can’t accommodate the operational challenges of modern K8s deployments, which often involve numerous clusters and multiple software elements across various environments. This complexity, compounded by K8s dynamic nature, makes maintaining visibility difficult.