W E K A
4.4
4.4
  • WEKA v4.4 documentation
    • Documentation revision history
  • WEKA System Overview
    • Introduction
      • WEKA system functionality features
      • Converged WEKA system deployment
      • Redundancy optimization in WEKA
    • SSD capacity management
    • Filesystems, object stores, and filesystem groups
    • WEKA networking
    • Data lifecycle management
    • WEKA client and mount modes
    • WEKA containers architecture overview
    • Glossary
  • Planning and Installation
    • Prerequisites and compatibility
    • WEKA cluster installation on bare metal servers
      • Plan the WEKA system hardware requirements
      • Obtain the WEKA installation packages
      • Install the WEKA cluster using the WMS with WSA
      • Install the WEKA cluster using the WSA
      • Manually install OS and WEKA on servers
      • Manually prepare the system for WEKA configuration
        • Broadcom adapter setup for WEKA system
        • Enable the SR-IOV
      • Configure the WEKA cluster using the WEKA Configurator
      • Manually configure the WEKA cluster using the resources generator
        • VLAN tagging in the WEKA system
      • Perform post-configuration procedures
      • Add clients to an on-premises WEKA cluster
    • WEKA Cloud Deployment Manager Web (CDM Web) User Guide
    • WEKA Cloud Deployment Manager Local (CDM Local) User Guide
    • WEKA installation on AWS
      • WEKA installation on AWS using Terraform
        • Terraform-AWS-WEKA module description
        • Deployment on AWS using Terraform
        • Required services and supported regions
        • Supported EC2 instance types using Terraform
        • WEKA cluster auto-scaling in AWS
        • Detailed deployment tutorial: WEKA on AWS using Terraform
      • WEKA installation on AWS using the Cloud Formation
        • Self-service portal
        • CloudFormation template generator
        • Deployment types
        • AWS Outposts deployment
        • Supported EC2 instance types using Cloud Formation
        • Add clients to a WEKA cluster on AWS
        • Auto scaling group
        • Troubleshooting
    • WEKA installation on Azure
      • Azure-WEKA deployment Terraform package description
      • Deployment on Azure using Terraform
      • Required services and supported regions
      • Supported virtual machine types
      • Auto-scale virtual machines in Azure
      • Add clients to a WEKA cluster on Azure
      • Troubleshooting
      • Detailed deployment tutorial: WEKA on Azure using Terraform
    • WEKA installation on GCP
      • WEKA project description
      • GCP-WEKA deployment Terraform package description
      • Deployment on GCP using Terraform
      • Required services and supported regions
      • Supported machine types and storage
      • Auto-scale instances in GCP
      • Add clients to a WEKA cluster on GCP
      • Troubleshooting
      • Detailed deployment tutorial: WEKA on GCP using Terraform
      • Google Kubernetes Engine and WEKA over POSIX deployment
    • WEKA installation on OCI
  • Getting Started with WEKA
    • Manage the system using the WEKA GUI
    • Manage the system using the WEKA CLI
      • WEKA CLI hierarchy
      • CLI reference guide
    • Run first IOs with WEKA filesystem
    • Getting started with WEKA REST API
    • WEKA REST API and equivalent CLI commands
  • Performance
    • WEKA performance tests
      • Test environment details
  • WEKA Filesystems & Object Stores
    • Manage object stores
      • Manage object stores using the GUI
      • Manage object stores using the CLI
    • Manage filesystem groups
      • Manage filesystem groups using the GUI
      • Manage filesystem groups using the CLI
    • Manage filesystems
      • Manage filesystems using the GUI
      • Manage filesystems using the CLI
    • Attach or detach object store buckets
      • Attach or detach object store bucket using the GUI
      • Attach or detach object store buckets using the CLI
    • Advanced data lifecycle management
      • Advanced time-based policies for data storage location
      • Data management in tiered filesystems
      • Transition between tiered and SSD-only filesystems
      • Manual fetch and release of data
    • Mount filesystems
      • Mount filesystems from Single Client to Multiple Clusters (SCMC)
      • Manage authentication across multiple clusters with connection profiles
    • Snapshots
      • Manage snapshots using the GUI
      • Manage snapshots using the CLI
    • Snap-To-Object
      • Manage Snap-To-Object using the GUI
      • Manage Snap-To-Object using the CLI
    • Snapshot policies
      • Manage snapshot policies using the GUI
      • Manage snapshot policies using the CLI
    • Quota management
      • Manage quotas using the GUI
      • Manage quotas using the CLI
  • Additional Protocols
    • Additional protocol containers
    • Manage the NFS protocol
      • Supported NFS client mount parameters
      • Manage NFS networking using the GUI
      • Manage NFS networking using the CLI
    • Manage the S3 protocol
      • S3 cluster management
        • Manage the S3 service using the GUI
        • Manage the S3 service using the CLI
      • S3 buckets management
        • Manage S3 buckets using the GUI
        • Manage S3 buckets using the CLI
      • S3 users and authentication
        • Manage S3 users and authentication using the CLI
        • Manage S3 service accounts using the CLI
      • S3 lifecycle rules management
        • Manage S3 lifecycle rules using the GUI
        • Manage S3 lifecycle rules using the CLI
      • Audit S3 APIs
        • Configure audit webhook using the GUI
        • Configure audit webhook using the CLI
        • Example: How to use Splunk to audit S3
        • Example: How to use S3 audit events for tracking and security
      • S3 supported APIs and limitations
      • S3 examples using boto3
      • Configure and use AWS CLI with WEKA S3 storage
    • Manage the SMB protocol
      • Manage SMB using the GUI
      • Manage SMB using the CLI
  • Security
    • WEKA security overview
    • Obtain authentication tokens
    • Manage token expiration
    • Manage account lockout threshold policy
    • Manage KMS
      • Manage KMS using GUI
      • Manage KMS using CLI
    • Manage TLS certificates
      • Manage TLS certificates using GUI
      • Manage TLS certificates using CLI
    • Manage Cross-Origin Resource Sharing
    • Manage CIDR-based security policies
    • Manage login banner
  • Secure cluster membership with join secret authentication
  • Licensing
    • License overview
    • Classic license
  • Operation Guide
    • Alerts
      • Manage alerts using the GUI
      • Manage alerts using the CLI
      • List of alerts and corrective actions
    • Events
      • Manage events using the GUI
      • Manage events using the CLI
      • List of events
    • Statistics
      • Manage statistics using the GUI
      • Manage statistics using the CLI
      • List of statistics
    • Insights
    • System congestion
    • User management
      • Manage users using the GUI
      • Manage users using the CLI
    • Organizations management
      • Manage organizations using the GUI
      • Manage organizations using the CLI
      • Mount authentication for organization filesystems
    • Expand and shrink cluster resources
      • Add a backend server
      • Expand specific resources of a container
      • Shrink a cluster
    • Background tasks
      • Set up a Data Services container for background tasks
      • Manage background tasks using the GUI
      • Manage background tasks using the CLI
    • Upgrade WEKA versions
    • Manage WEKA drivers
  • Monitor the WEKA Cluster
    • Deploy monitoring tools using the WEKA Management Station (WMS)
    • WEKA Home - The WEKA support cloud
      • Local WEKA Home overview
      • Deploy Local WEKA Home v3.0 or higher
      • Deploy Local WEKA Home v2.x
      • Explore cluster insights
      • Explore performance statistics in Grafana
      • Manage alerts and integrations
      • Enforce security and compliance
      • Optimize support and data management
      • Export cluster metrics to Prometheus
    • Set up WEKAmon for external monitoring
    • Set up the SnapTool external snapshots manager
  • Kubernetes
    • Composable clusters for multi-tenancy in Kubernetes
    • WEKA Operator deployment
    • WEKA Operator day-2 operations
  • WEKApod
    • WEKApod Data Platform Appliance overview
    • WEKApod servers overview
    • Rack installation
    • WEKApod initial system setup and configuration
    • WEKApod support process
  • AWS Solutions
    • Amazon SageMaker HyperPod and WEKA Integrations
      • Deploy a new Amazon SageMaker HyperPod cluster with WEKA
      • Add WEKA to an existing Amazon SageMaker HyperPod cluster
    • AWS ParallelCluster and WEKA Integration
  • Azure Solutions
    • Azure CycleCloud for SLURM and WEKA Integration
  • Best Practice Guides
    • WEKA and Slurm integration
      • Avoid conflicting CPU allocations
    • Storage expansion best practice
  • Support
    • Get support for your WEKA system
    • Diagnostics management
      • Traces management
        • Manage traces using the GUI
        • Manage traces using the CLI
      • Protocols debug level management
        • Manage protocols debug level using the GUI
        • Manage protocols debug level using the CLI
      • Diagnostics data management
  • Appendices
    • WEKA CSI Plugin
      • Deployment
      • Storage class configurations
      • Tailor your storage class configuration with mount options
      • Dynamic and static provisioning
      • Launch an application using WEKA as the POD's storage
      • Add SELinux support
      • NFS transport failback
      • Upgrade legacy persistent volumes for capacity enforcement
      • Troubleshooting
    • Convert cluster to multi-container backend
    • Create a client image
    • Update WMS and WSA
    • BIOS tool
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On this page
  • Overview
  • Key benefits
  • Composable clusters for multi-tenancy deployment at a glance
  • Summary
  1. Kubernetes

Composable clusters for multi-tenancy in Kubernetes

Explore WEKA’s multi-tenancy with composable clusters, ensuring full resource isolation and optimal performance through Kubernetes-driven deployment.

PreviousSet up the SnapTool external snapshots managerNextWEKA Operator deployment

Last updated 1 month ago

Overview

WEKA enables multi-tenancy by allowing multiple cluster deployments to share the same hardware while maintaining full resource isolation. This is achieved through a Kubernetes Operator that facilitates the composition of resource sets—including hosts, drives, cores, and memory—into independent clusters.

The process of creating these composable clusters is efficient, taking only a few minutes. Each cluster is allocated dedicated resources, ensuring consistent performance without interference from other tenants.

Key benefits

  • Full resource isolation: WEKA’s composable cluster model ensures complete isolation across drives, processors, and memory, providing a higher level of security than traditional multi-tenant models that rely on process isolation while sharing hardware resources. This architecture strengthens security boundaries, mitigates risks associated with legacy designs, and ensures both isolation and performance requirements are met.

  • Scalability and performance: WEKA’s multi-tenant architecture is aligned with , including the common network reference architecture. Service providers can benefit from all of WEKA's scalability and performance in a multi-tenant deployment without compromise, while also simplifying network management and optimizing hardware utilization.

  • Enhanced security: WEKA clusters leverage multiple layers of security. It employs a comprehensive encryption model, with both cluster-wide and per-filesystem customizations, which are fully supported in multi-tenant environments. Tenant management uses least-privileges role definitions to integrate with modernities like Kubernetes and CSI. Multi-tenancy encryption protect file and object data, and sensitive metadata such as file names and timestamps, with only the file size remaining unencrypted. Features such as Organizations add additional delegations within tenant clusters and help protect end user data from administrators while clients maintain full control over encryption management. This approach provides a higher level of protection than traditional models, ensuring data security and compliance.

  • Simplified management: The WEKA Operator simplifies deployment and management of the WEKA Data Platform. It automates routine storage operations and enhances cluster resilience using custom resources. Real-time monitoring tools provide insights into usage and performance, enabling proactive management and seamless resource expansion.

  • Cost optimization and efficiency: WEKA maximizes hardware utilization, reduces infrastructure costs, and streamlines configuration to minimize administrative overhead. This approach optimizes resource efficiency while lowering operational expenses.

Composable clusters for multi-tenancy deployment at a glance

  1. The WEKA Operator monitors the current state of the Kubernetes cluster.

  2. When there are changes to WEKA custom resource definitions, the Operator applies the changes to the running Kubernetes cluster.

  3. The changes are composed sets of resources, which bring about the creation of a new cluster, perform an expansion or contraction of an existing cluster, decommission a cluster, or perform an upgrade.

Summary

WEKA’s multi-tenant architecture delivers a highly secure, scalable, and cost-efficient solution for service providers and enterprises. Composable clusters deliver full resource isolation and automated management to meet the ever-evolving demands of modern AI, ML, and high-performance computing environments.

For detailed deployment procedures and day-2 operations see:

  • WEKA Operator deployment

  • WEKA Operator day-2 operations

WEKA composable clusters for multi-tenancy concept
Composable clusters for multi-tenancy deployment at a glance