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  • NDS Labs Cluster Services:
    • API Manager: Manages cluster-wide API naming and public API exposure from the cluster public IP firewall/load-balancing system.
    • Catalog, Configuration, and Deployment (CCD) Service: Automatically updated catalog of NDS Labs services available for deployment in the cluster (for cluster admins), and for projects (for project admins). The service catalog manager is configured with NDS Labs-specific container repositories, and periodically pulls service descriptions from the containers.
    • Cluster Admin Project Administration (CADM): Provide the cluster administrator with project provisioning including project admin credentials. Provides management of infrastructure resources to projects, including volumes and managing differentiated compute resources.
      • Cluster Administrator Monitoring (CMON) Tools/Service: Provides services for cluster administrators to monitor cluster operations, including loggingperformance analysis, and resource utilization. Monitor services include ELKPrometheus, etc. in addition to Kubernetes-provided tools like cadvisor.
  • NDS Labs Project Services:
    • Project Manager Administration (PADM): Allows the project manager to deploy, monitor, and manage application services within their project.
      • Per-project Monitoring (PMON): Provides project-specific monitoring of project resources, utilization, performance, and application/service specific monitoring and logging.
  • Inter-Cluster/Integrated-Cluster Services (ICS): Provide NDS Labs web services across multiple distributed clusters in the larger NDS Labs context to implement global NDS Labs services such as global resource searchdistributed data access, and provide distributed application developers services to implement service discovery and distributed API access within their services.
    • Distributed search: Locating named data and services in the NDS Labs global system.
    • Resource discovery: Locates attribute-specified resources in the NDS Labs global system, such as specifically sized data-storage resources, or specific compute resources such as HPC resources, or accelerator-enabled compute resources, for example.
    • Advanaced Data Management - : Allows composing cross-cluster data management applications

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