Who should use Multi-Cluster Orchestrator?
Multi-Cluster Orchestrator is designed for:
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Platform engineering teams with a GitOps focus: GitOps-focused teams building and managing general serving applications across multiple GKE regions using tools like Argo CD can leverage Multi-Cluster Orchestrator to simplify multi-cluster deployments. In addition, teams with custom continuous delivery (CD) solutions can use it to provide cluster target recommendations, enhancing their existing deployment workflows.
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AI/ML inferencing platform teams: Teams looking for dynamic resource allocation to minimize stockout risks and optimize costs for their AI/ML inferencing applications can benefit from Multi-Cluster Orchestrator’s intelligent workload placement.
Early adopters of Multi-Cluster Orchestrator are already seeing value from the tool. Abridge, for one, a company dedicated to delivering sophisticated AI solutions for clinical conversations in healthcare, recognizes its promise
“Multi-Cluster Orchestrator offers an opportunity to further scale our inference workloads across multiple GKE clusters. Its ability to intelligently manage resource allocation could lead to improved availability and cost efficiency. We’re evaluating how automating workload placement and scaling with this technology can streamline our operational framework and advance our AI-driven processes.” – Trey Caliva, Staff Platform Engineer, Abridge
Get started with Multi-Cluster Orchestrator
At Google Cloud, we’re committed to helping organizations build and manage their applications at scale. Multi-Cluster Orchestrator represents a significant step towards simplifying multi-cluster Kubernetes management and enabling the next generation of cloud-native applications.
Multi-Cluster Orchestrator is now available in public preview. To learn more and get started, visit the documentation.
Source Credit: https://cloud.google.com/blog/products/containers-kubernetes/multi-cluster-orchestrator-for-cross-region-kubernetes-workloads/
