Databricks Kubernetes


          Databricks Kubernetes

Databricks utilizes Kubernetes extensively for orchestrating containerized workloads and managing its infrastructure across multiple cloud providers. Here’s how they leverage Kubernetes:

  • Compute Infrastructure: Databricks runs its compute infrastructure on AWS, Azure, and GCP, using Kubernetes to manage containerized services across these platforms.
  • Custom OS Images: They develop and manage their own OS images that bootstrap cloud VMs into Kubernetes nodes, ensuring consistency and control over their environment.
  • Cluster Management: Databricks operates thousands of Kubernetes clusters and manages millions of pods, using Kubernetes to orchestrate complex workloads efficiently.
  • Cloud-Agnostic Abstractions: They create abstractions on top of different cloud-managed Kubernetes services (EKS, AKS, GKE) to simplify application deployment for their engineers.
  • Kubernetes Operators: Databricks utilizes the Kubernetes operator pattern to manage complex infrastructure components, building custom operators to control various aspects of their environment.

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You can find more information about Databricks Training in this Dtabricks Docs Link



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