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
  • Bandwidth division considerations in SCMC
  • Prerequisites
  • Set the client target version in the clusters
  • Mount a stateless client container on multiple clusters
  • Mount persistent client containers on multiple clusters
  • Run commands from a server with multiple client containers
  1. WEKA Filesystems & Object Stores
  2. Mount filesystems

Mount filesystems from Single Client to Multiple Clusters (SCMC)

Mount a single WEKA client to multiple clusters simultaneously, optimizing data access and workload distribution.

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Last updated 1 month ago

Overview

Mounting filesystems from a single WEKA client to multiple clusters provides several advantages:

  • Expanded cluster connectivity: A single client can connect to up to seven clusters simultaneously, increasing storage capacity and computational capabilities.

  • Unified data access: Provides a consolidated view of data across multiple clusters, simplifying access and management while improving data availability, flexibility, and resource efficiency.

  • Optimized workload distribution: Enables efficient workload distribution across clusters, supporting scalable applications and enhancing overall performance.

  • Seamless integration: WEKA’s SCMC feature ensures smooth and efficient integration for clients accessing multiple clusters.

Bandwidth division considerations in SCMC

The bandwidth division in SCMC is a universal consideration based on the specific NIC's bandwidth. It applies across various NIC types, including those using DPDK or specific models like the X500-T1.

During SCMC mounts, each active connection can use the bandwidth available on its associated NIC port. This is true during peak usage and idle cases. In scenarios where NICs are dual-ported, each connection operates independently, leveraging its dedicated port.

When working with low-bandwidth NICs such as the X500-T1, a 10Gb/s NIC, consider bandwidth calculations. In the context of SCMC, each container (representing connectivity to a different cluster) uses half of the available bandwidth (5Gb/s) for a shared port. Note that a dual-port NIC has a dedicated port for each container, optimizing bandwidth distribution. Keep these factors in mind for an optimal SCMC setup.

Prerequisites

Ensure the following requirements are met:

  • All clusters that run in this configuration must be at least version 4.2.

  • All client containers in the WEKA client must run the same minor version, at least version 4.2. The client version must be the same as the cluster or, at most, one version earlier.

  • All client containers must be of the same type, persistent or stateless clients. Mixing different client types in a single WEKA client is not allowed.

  • Each client container must run on its port. The default ports are 14000, 14101, 14201, 14301, 14401, 14501, and 14601. Ensure these ports allow egress on the client and ingress on the cluster.

  • For DPDK, each client container must have 5 GB of free RAM, and it is recommended to have a dedicated CPU core to get optimal performance.

Mounting a filesystem without these requirements may fail or overload the WEKA client.

  • Mounting filesystems from multiple clusters on a single client with Intel E810 are only supported using UDP mode.

  • Mounting a persistent client using autofs is only supported on filesystems on a single cluster.

Set the client target version in the clusters

When a stateless client mounts a filesystem in a cluster, it creates a client container with the same version as provided by the cluster. Because there may be situations where some of the clusters run a different WEKA version than the others, such as during an upgrade, it is required to set the same client target version on all clusters. The client target version is retained regardless of the cluster upgrade.

The client target version must be consistent across all clusters. It can match the cluster version or be one major version earlier (regardless the minor), provided that version is available in the cluster for client download.

To upgrade the cluster to a version higher than the first major release above the client version, see Upgrade WEKA versions.

Procedure:

  1. Connect to each cluster and run the following command to set the client target version.

weka cluster client-target-version set <version>

Where: <version> is the designated client target version, which will be installed on the client container upon the mount command. Ensure this version is installed on the backend servers.

  1. To display the existing client target version in the cluster, run the following command:

weka cluster client-target-version show
  1. To reset the client target version to the cluster version, run the following command:

weka cluster client-target-version reset

Mount a stateless client container on multiple clusters

Use the same commands as with a single client.

mount -t wekafs <backend-name> <fs-name> <mount-point> -o container_name=<container-name>

To mount a stateless client using UDP mode, add -o net=udp -o core=<core-id> to the command line. For example:

mount -t wekafs backend-server-0/my_fs /mnt/weka -o net=udp -o core=2 -o container_name=frontend0

Mount persistent client containers on multiple clusters

For persistent client containers, the client-target-version parameter is not relevant. The version of the client container is determined when creating the container in the WEKA client using the weka local setup container command. Therefore, ensure that all client containers in the WEKA client have the same minor version as in the clusters.

To mount a persistent client container to a cluster, specify the container name for that mount.

mount -t wekafs <fs-name> <mount-point> -o container_name=<container-name>

Run commands from a server with multiple client containers

When running WEKA CLI commands from a server hosting multiple client containers, each connected to a different WEKA cluster, it’s required to specify the client container port or the backend IP address/name of the cluster (linked to that client) in the command.

Consider a server with two client containers:

weka local ps
CONTAINER  STATE    DISABLED  UPTIME    MONITORING  PERSISTENT  PORT   PID    STATUS  VERSION LAST FAILURE
client1    Running  False     3:15:57h  True        False       14000  58318  Ready   4.3.0
client2    Running  False     3:14:35h  True        False       14101  59529  Ready   4.3.0

To run a WEKA CLI command on the second cluster (associated with client2), use either of the following methods:

  • By specifying the backend IP address or name linked to that client container (assuming the backend name is DataSphere2-1):

    weka status -H DataSphere2-1
  • By specifying the client container port:

    weka status -P 14101

This approach ensures that your WEKA CLI command targets the correct WEKA cluster associated with the specified client container.

Related topics

Add clients to an on-premises WEKA cluster

Mount filesystems

Mount filesystems from Single Client to Multiple Clusters (SCMC)