SKA PST Helm Chart Parameters

This is a summary of the Helm chart parameters that can be used to customise PST deployment, configuration, and integration. The default values can be located in the chart’s values file.

Parameter Descriptions

CORE

These parameters are used for configuring deployments of the core PST signal processing chain.

Parameter	Description	Default
core.enabled	Enable/Disable PST.CORE deployment	true
core.initContainers.wait.image	Common image used by init containers used to wait for desired state of kubernetes resources	artefact.skao.int/ska-ser-utils:0.1.0
core.affinity	Affinity applied to the ska-pst deployment	{}
core.applications	Application specific configuration that overrides container level configuration
core.applications.recv	Contains RECV configuration
core.applications.recv.dataNic	Overrides the PodIP with the provided IP. Used with core.hostNetwork=true	""
core.applications.recv.image	Container image	ska-pst-core
core.applications.recv.command	Container commands	["bash"]
core.applications.recv.args	Container command arguments, see ska_pst_recv_udpdb usage.	["-c","ska_pst_recv_udpdb ${POD_IP} -p ${RECV_DATASTREAM_PORT} -c ${RECV_MGMT_PORT} -w"]
core.applications.recv.resources	Container resource allocations
core.applications.recv.resources.limits	Container resource limits
core.applications.recv.resources.limits.cpu	Container CPU limit	1600m
core.applications.recv.resources.limits.memory	Container memory limit	6400Mi
core.applications.recv.resources.requests	Container resource requests
core.applications.recv.resources.requests.cpu	Container CPU request	1600m
core.applications.recv.resources.requests.memory	Container memory request	6400Mi
core.applications.recv.ports	RECV port configurations
core.applications.recv.ports.mgmt	RECV management port configurations. Used for communication with LMC.
core.applications.recv.ports.mgmt.lmcPropertyName	Device property name configured in beam device configuration	RecvProcessApiEndpoint
core.applications.recv.ports.mgmt.port	PST service port for RECV management port	28080
core.applications.recv.ports.mgmt.protocol	PST service port protocol for RECV management port	TCP
core.applications.recv.ports.mgmt.targetPort	Pod exposed port used by RECV	28080
core.applications.recv.ports.mgmt.datastream	RECV data stream port configurations. Used for receiving data sent by CBF
core.applications.recv.ports.datastream.port	PST service port for RECV datastream port	28080
core.applications.recv.ports.datastream.protocol	PST service port protocol for RECV datastream port	UDP
core.applications.recv.ports.datastream.targetPort	Pod exposed port used by RECV	28080
core.applications.recv.resources	Optional resources configuration specific to RECV container	{}
core.applications.smrb	Contains SMRB configuration
core.applications.smrb.image	Container image	ska-pst-core
core.applications.smrb.command	Container commands	["bash"]
core.applications.smrb.args	Container command arguments, see ska_pst_smrb_core usage	["-c","ska_pst_smrb_core -c ${SMRB_MGMT_PORT}"]
core.applications.smrb.resources	Container resource allocations
core.applications.smrb.resources.limits	Container resource limits
core.applications.smrb.resources.limits.cpu	Container CPU limit	1600m
core.applications.smrb.resources.limits.memory	Container memory limit	6400Mi
core.applications.smrb.resources.requests	Container resource requests
core.applications.smrb.resources.requests.cpu	Container CPU request	1600m
core.applications.smrb.resources.requests.memory	Container memory request	6400Mi
core.applications.smrb.ports	SMRB port configurations
core.applications.smrb.ports.mgmt	SMRB management port configurations. Used for communication with LMC.
core.applications.smrb.ports.mgmt.lmcPropertyName	Device property name configured in beam device configuration	SmrbProcessApiEndpoint
core.applications.smrb.ports.mgmt.port	PST service port for SMRB management port	28081
core.applications.smrb.ports.mgmt.protocol	PST service port protocol for SMRB management port	TCP
core.applications.smrb.ports.mgmt.targetPort	Pod exposed port used by SMRB	28081
core.applications.smrb.resources	Optional resources configuration specific to SMRB container	{}
core.applications.stat	Contains STAT configuration
core.applications.stat.image	Container image	ska-pst-core
core.applications.stat.command	Container commands	["bash"]
core.applications.stat.args	Container command arguments, see ska_pst_stat_core usage	["-c","ska_pst_stat_core -d ${PST_DSP_MOUNT} -c ${STAT_MGMT_PORT}"]
core.applications.stat.resources	Container resource allocations
core.applications.stat.resources.limits	Container resource limits
core.applications.stat.resources.limits.cpu	Container CPU limit	1600m
core.applications.stat.resources.limits.memory	Container memory limit	6400Mi
core.applications.stat.resources.requests	Container resource requests
core.applications.stat.resources.requests.cpu	Container CPU request	1600m
core.applications.stat.resources.requests.memory	Container memory request	6400Mi
core.applications.stat.ports	STAT port configurations
core.applications.stat.ports.mgmt	STAT management port configurations. Used for communication with LMC.
core.applications.stat.ports.mgmt.lmcPropertyName	Device property name configured in beam device configuration	StatProcessApiEndpoint
core.applications.stat.ports.mgmt.port	PST service port for STAT management port	28083
core.applications.stat.ports.mgmt.protocol	PST service port protocol for STAT management port	TCP
core.applications.stat.ports.mgmt.targetPort	Pod exposed port used by RECV	28083
core.applications.stat.resources	Optional resources configuration specific to STAT container	{}
core.applications.dsp_disk	Contains DSP Voltage recorder mode configuration
core.applications.dsp_disk.image	Container image	ska-pst-core
core.applications.dsp_disk.command	Container commands	["bash"]
core.applications.dsp_disk.args	Container command arguments, see ska_pst_dsp_disk usage	["-c","ska_pst_dsp_disk -d ${PST_DSP_MOUNT} -c ${DSP_DISK_MGMT_PORT}"]
core.applications.dsp_disk.resources	Container resource allocations
core.applications.dsp_disk.resources.limits	Container resource limits
core.applications.dsp_disk.resources.limits.cpu	Container CPU limit	1600m
core.applications.dsp_disk.resources.limits.memory	Container memory limit	6400Mi
core.applications.dsp_disk.resources.requests	Container resource requests
core.applications.dsp_disk.resources.requests.cpu	Container CPU request	1600m
core.applications.dsp_disk.resources.requests.memory	Container memory request	6400Mi
core.applications.dsp_disk.ports	DSP Voltage recorder mode port configurations
core.applications.dsp_disk.ports.mgmt	DSP Voltage recorder mode management port configurations. Used for communication with LMC.	DspDiskProcessApiEndpoint
core.applications.dsp_disk.ports.mgmt.lmcPropertyName	Device property name configured in beam device configuration	``
core.applications.dsp_disk.ports.mgmt.port	PST service port for DSP Voltage recorder mode management port	28082
core.applications.dsp_disk.ports.mgmt.protocol	PST service port protocol for DSP Voltage recorder mode management port	TCP
core.applications.dsp_disk.ports.mgmt.targetPort	Pod exposed port used by DSP Voltage recorder	28082
core.applications.dsp_disk.resources	Optional resources configuration specific to DSP_DISK container	{}
core.applications.dsp_ft	Contains DSP Flow through mode configuration
core.applications.dsp_ft.image	Container image	ska-pst-core
core.applications.dsp_ft.command	Container commands	["bash"]
core.applications.dsp_ft.args	Container command arguments, see ska_pst_dsp_ft usage. Optional flag of -g $gpu_id can be used where $gpu_id is replaced with numerical value of a CUDA capable gpu device id	["-c","ska_pst_dsp_ft -d ${PST_DSP_MOUNT} -c ${DSP_FT_MGMT_PORT}"]
core.applications.dsp_ft.resources	Container resource allocations
core.applications.dsp_ft.resources.limits	Container resource limits
core.applications.dsp_ft.resources.limits.cpu	Container CPU limit	1600m
core.applications.dsp_ft.resources.limits.memory	Container memory limit	6400Mi
core.applications.dsp_ft.resources.requests	Container resource requests
core.applications.dsp_ft.resources.requests.cpu	Container CPU request	1600m
core.applications.dsp_ft.resources.requests.memory	Container memory request	6400Mi
core.applications.dsp_ft.ports	DSP Flow Through mode port configurations
core.applications.dsp_ft.ports.mgmt	DSP Flow Through mode management port configurations. Used for communication with LMC.
core.applications.dsp_ft.ports.mgmt.lmcPropertyName	Device property name configured in beam device configuration	DspFlowThroughProcessApiEndpoint
core.applications.dsp_ft.ports.mgmt.port	PST service port for DSP Flow Through mode management port	28084
core.applications.dsp_ft.ports.mgmt.protocol	PST service port protocol for DSP Flow Through mode management port	TCP
core.applications.dsp_ft.ports.mgmt.targetPort	Pod exposed port used by DSP Flow Through mode	28084
core.applications.dsp_ft.resources	Optional resources configuration specific to DSP_FT container	{}
core.affinity	Affinity assigned to the ska-pst-core deployment	{}
core.podAnnotations	Annotations assigned to the ska-pst-core pod	{}
core.podSecurityContext	Security context assigned to the ska-pst-core pod	{}
core.replicaCount	Number of ska-pst-core pod replicas generated by the ska-pst-core deployment	1
core.runtimeClassName	RuntimeClass object used to run the core pod. The core pod will not run if the configured runtimeclass does not exist. Used concurrently with core.applications.dsp_ft.resources.requests=nvidia.com/gpu: 1 with a configuration of core.runtimeClassName=nvidia to utilise an nvidia gpu resource	``
core.nodeSelectorTerms	Ensures ska-pst-core resources deployed on nodes with declared labels	kubernetes.io/os=linux
core.nodeSelector	Selector which must match a node's labels for the pod to be scheduled on that node.	{}
core.podInstanceOverrides	Used for overriding ska-pst-core configurations. Keys should match the elements of deviceServers.pstLmc.instances.	{}
core.probes	Configurations for ska-pst-core readiness and liveliness probes
core.probes.legacyMode	Enables readiness and liveliness probes using port listeners	true
core.probes.readiness.initialDelaySeconds	Number of seconds after the container has started before readiness probes are initiated. Minimum value is 1	5
core.probes.readiness.periodSeconds	How often (in seconds) to perform the probe. Minimum value is 1	10
core.probes.liveliness.initialDelaySeconds	Number of seconds after the container has started before liveliness probes are initiated. Minimum value is 1	5
core.probes.liveliness.periodSeconds	How often (in seconds) to perform the probe. Minimum value is 1	10
core.primaryVolumeMount	The required storage configuration used by DSP to write files
core.primaryVolumeMount.name	Name of the persistentVolumeClaim used across the ska-pst chart	ska-pst-lfs
core.primaryVolumeMount.type	The storage class used. Available options involve local-storage (hostPath), cephfs (nfss1), block (bds)	local-storage
core.primaryVolumeMount.hostPath	Baremetal host path. Used concurrently with core.primaryVolumeMount.type-local-storage	/tmp
core.primaryVolumeMount.containerBasePath	Container mount path used across the ska-pst chart	/mnt/pst/
core.primaryVolumeMount.containerDataPath	Container mount path used for storing PST data products that are still being processed.	/mnt/pst/data
core.primaryVolumeMount.containerDlmPath	Container mount path used for storing PST data products that are ready for file transfers	/mnt/pst/dlm
core.primaryVolumeMount.permission	The permission applied to folders created in core.primaryVolumeMount.containerBasePath	0764
core.primaryVolumeMount.readOnly	Permission assigned when the volume is assigned to a pod	false
core.primaryVolumeMount.size	The size requested by the persistentVolumeClaim. Acts as a label when core.primaryVolumeMount.type=local-storage	10Gi
core.extraVolumeMounts	List of additional mounts used across the ska-pst chart. Fields are the same as core.primaryVolumeMount	[]
core.selftest	Configurations applied to the ska-pst-selftest Job
core.selftest.enabled	Feature flag that toggles the ska-pst-selftest Job	false
core.selftest.image	Container image	ska-pst-selftest
core.selftest.securityContext	Holds container-level security attributes applied to the ska-pst-selftest initContainer. Supersedes podSecurityContext	privileged: true
core.send	Configurations applied to the ska-pst-send pod
core.send.enabled	Feature flag that enables or disables the ska-pst-core-send pod	true
core.send.resources	Resources allocated to the ska-pst-core-send pod	{}
core.send.image	Container image	ska-pst-send
core.send.command	Container commands	["bash"]
core.send.args	Container command arguments, see dlm_transfer usage.	["-c","dlm_transfer $PST_DSP_MOUNT/product $PST_DSP_MOUNT/staging $DLM_STG_MOUNT/product $PST_SUBSYSTEM_ID"]
core.send.podSecurityContext	Holds pod-level security attributes and common container settings.	{}
core.service	Contains the kubernetes service configurations for the ska-pst-core deployment
core.service.enabled	Feature flag that enables or disables the kubernetes service for the ska-pst-core deployment	true
core.service.type	The kubernetes service type. Available options are ClusterIP LoadBalancer, and NodePort	ClusterIP

LMC

These parameters are used for configuring deployments of the local monitoring and control (LMC) part of the PST deployment.

Parameter	Description	Default
system		SW-infrastructure
subsystem		ska-pst-lmc
telescope		SKA-low
deviceServers.pstLmc	Contains device service configuration for the PST.BEAM
deviceServers.pstLmc.enabled	Enable/Disable PST.BEAM LMC deployment	true
deviceServers.pstLmc.serverName	The server name assigned to the PST.BEAM	low-pst-beam for SKA-Low mid-pst-beam for SKA-Mid
deviceServers.pstLmc.image	Container image	ska-pst-lmc
deviceServers.pstLmc.instances	Beam instances list	["01"]
deviceServers.pstLmc.file	File path containing the beam template configuration	"data/beam.yaml"
deviceServers.pstLmc.simulationMode	Run Beam logical device in simulation (0) or non simulation (1) mode	0
deviceServers.pstLmc.monitor_polling_rate	Monitor polling rate (in milliseconds) used by the beam server	5000
deviceServers.pstLmc.health_check_interval	The health check interval (in milliseconds) used by the beam server to the PST subcomponents	1000
deviceServers.pstLmc.scanOutputDirPattern	Relative path pattern concerning data files	product/<eb_id>/<subsystem_id>/<scan_id>
deviceServers.pstLmc.volume.readOnly	Pod permission assigned to volume mount concerning the shared pst volume	false
loggingLevel	The logging level assigned by the beam server to the PST.CORE applications	4
labels	Labels assigned to the beam server	app: ska-pst-lmc
annotations	Annotations assigned to the beam server
annotations.app.gitlab.com/app	The gitlab source code repository for the pst beam server	CI_PROJECT_PATH_SLUG
annotations.app.gitlab.com/env	The environment concerning the kubernetes cluster	CI_ENVIRONMENT_SLUG
resources.requests.cpu	Defines the minimum amount of compute resources required	50m
resources.requests.memory	Defines the minimum amount of memory resources required	50Mi
resources.limits.cpu	Defines the maximum amount of compute resources allowed	100m
resources.limits.memory	Defines the maximum amount of memory resources allowed	150Mi
livenessProbe	Probe applied to the beam server. Periodic probe of container liveness. Container will be restarted if the probe fails
livenessProbe.initialDelaySeconds	Number of seconds after the container has started before liveness probes are initiated	0
livenessProbe.periodSeconds	How often (in seconds) to perform the probe. Minimum value is 1	10
livenessProbe.timeoutSeconds	Number of seconds after which the probe times out. Minimum value is 1.	3
livenessProbe.successThreshold	Minimum consecutive successes for the probe to be considered successful after having failed. Must be 1 for liveness and startup. Minimum value is 1.	1
livenessProbe.failureThreshold	Minimum consecutive failures for the probe to be considered failed after having succeeded. Minimum value is 1	3
readinessProbe	Probe applied to the beam server. Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails
readinessProbe.initialDelaySeconds	Number of seconds after the container has started before liveness probes are initiated	0
readinessProbe.periodSeconds	How often (in seconds) to perform the probe. Minimum value is 1	10
readinessProbe.timeoutSeconds	Number of seconds after which the probe times out. Minimum value is 1.	3
readinessProbe.successThreshold	Minimum consecutive successes for the probe to be considered successful after having failed. Must be 1 for liveness and startup. Minimum value is 1.	1
readinessProbe.failureThreshold	Minimum consecutive failures for the probe to be considered failed after having succeeded. Minimum value is 1	3
securityContext.runAsNonRoot	Indicates that the beam server container must run as a non-root user. If true, the Kubelet will validate the image at runtime to ensure that it does not run as UID 0 (root) and fail to start the container if it does. If unset or false, no such validation will be performed.	true
securityContext.runAsUser	The UID to run the entrypoint of the beam server container process	1000
securityContext.runAsGroup	The GID to run the entrypoint of the beam server container process	1000
tolerations	The beam server pod this Toleration is attached to tolerates any taint that matches the triple using the matching operator .	[]

Jupyterlab

These parameters are used for configuring deployment of a JupyterLab pod within the PST deployment. This should only be enabled in a testing environment.

Parameter	Description	Default
jupyterlab	Contains configuration concerning jupyterlab deployment
jupyterlab.enabled	Feature flag to enable or disable jupyterlab deployment	false
jupyterlab.image	Container image	ska-pst-jupyterlab
jupyterlab	Container commands	["jupyter"]
jupyterlab	Container command arguments	["lab", "--no-browser", "--ip=0.0.0.0", "--notebook-dir=/app/notebooks", "--IdentityProvider.token=''", "--ServerApp.password=''"]
jupyterlab.service	Contains kubernetes service configuration for the ska-pst-jupyterlab pod
jupyterlab.service.enabled	Feature flag that enables or disables the kubernetes service for the ska-pst-jupyterlab pod	true
jupyterlab.service.type	The kubernetes service type. Available options are ClusterIP LoadBalancer, and NodePort	ClusterIP
jupyterlab.service.ports.jupyterlab	Jupyterlab service port configurations
jupyterlab.service.ports.jupyterlab.port	The port that will be exposed by the jupyterlab service	8888
jupyterlab.service.ports.jupyterlab.protocol	The IP protocol for the exposed port. Supports TCP, UDP, and SCTP.	TCP
jupyterlab.service.ports.jupyterlab.targetPort	Number or name of the port to access on the pods targeted by the jupyterlab service	8888
jupyterlab.resources	Resources allocated to the ska-pst-jupyterlab pod
jupyterlab.resources.requests.cpu	Defines the minimum amount of compute resources required	2000m
jupyterlab.resources.requests.memory	Defines the minimum amount of memory resources required	4Gi
jupyterlab.resources.limits.cpu	Defines the maximum amount of compute resources allowed	2000m
jupyterlab.resources.limits.memory	Defines the maximum amount of memory resources allowed	4Gi

Override Examples

Use gitlab registry and override storage configuration

image:
  registry: &SkaPstRepository "registry.gitlab.com/ska-telescope/pst/ska-pst"

ska-pst:
  image:
    registry: *SkaPstRepository

  core:
    primaryVolumeMount:
      type: nfs

Increase resource allocated to PST.CORE and PST.LMC pods

ska-pst:

  telescope: SKA-Mid

ska-pst:
  telescope: SKA-Mid

  core:
    # Override each container separately.
    # The overall pod quota is the sum of the per‑container values below.
    # Example: total CPU limit = 2000m (recv) + 1500m (smrb) + 1000m (stat) +
    #            1500m (dsp-disk) + 1500m (dsp-ft) = 7500m
    applications:
      recv:
        resources:
          limits:
            cpu: 2000m          # default 1600m
            memory: 5120Mi      # default 6400Mi
          requests:
            cpu: 2000m          # default 1600m
            memory: 5120Mi      # default 6400Mi
      smrb:
        resources:
          limits:
            cpu: 1500m          # default 1600m
            memory: 4000Mi      # default 6400Mi
          requests:
            cpu: 1500m          # default 1600m
            memory: 4000Mi      # default 6400Mi
      stat:
        resources:
          limits:
            cpu: 1000m          # default 1600m
            memory: 3000Mi      # default 6400Mi
          requests:
            cpu: 1000m          # default 1600m
            memory: 3000Mi      # default 6400Mi
      dsp-disk:
        resources:
          limits:
            cpu: 1500m          # default 1600m
            memory: 4000Mi      # default 6400Mi
          requests:
            cpu: 1500m          # default 1600m
            memory: 4000Mi      # default 6400Mi
      dsp-ft:
        resources:
          limits:
            cpu: 1500m          # default 1600m
            memory: 4000Mi      # default 6400Mi
            nvidia.com/gpu: 1   # GPU requirement (unchanged)
          requests:
            cpu: 1500m          # default 1600m
            memory: 4000Mi      # default 6400Mi
            nvidia.com/gpu: 1

  # The LMC device server can still be tuned separately
  deviceServers:
    pstLmc:
      resources:
        limits:
          cpu: 200m
          memory: 300Mi
        requests:
          cpu: 100m
          memory: 100Mi

Enable jupyterlab for manual testing of PST

ska-pst:
  jupyterlab:
    enabled: true

Deploy ska-pst to pst-beam2 in PSI Low environment

ska-pst:

  telescope: SKA-Low

  # Applied across pst pods
  tolerations:
    - effect: NoExecute
      key: nvidia.com/gpu
      value: "true"

  core:
    # Required for pod deployments
    nodeSelector:
      kubernetes.io/hostname: pst-beam2

    # Required for persistentvolume deployments
    nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - "pst-beam2"

Deploy ska-pst with cuda enabled dsp_ft

image:
  registry: &SkaPstRepository "registry.gitlab.com/ska-telescope/pst/ska-pst"


ska-pst:
  image:
    registry: *SkaPstRepository

  tolerations:
    - effect: NoExecute
      key: nvidia.com/gpu
      value: "true"

  core:
    applications:
      dsp_ft:
        resources:
          requests:
            nvidia.com/gpu: 1
          limits:
            nvidia.com/gpu: 1
    nodeSelector:
      kubernetes.io/hostname: pst-beam2

    nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - "pst-beam2"

    primaryVolumeMount:
      type: local-storage
      hostPath: /data

Enable ska-pst selftest to check k8s node configuration compatibility

ska-pst:
  core:
    selftest:
      enabled: true

    primaryVolumeMount:
      type: local-storage
      hostPath: /data

Deploy ska-pst with multiple beams in non simulation mode

  # Common k8s tolerations on ska-pst resources
  tolerations:
    - effect: NoExecute
      key: nvidia.com/gpu
      value: "true"
    - effect: NoSchedule
      key: skao.int/dedicated
      value: "pst"

  deviceServers:
    ## controller has only one instance
    pstLmc:
      enabled: true
      serverName: ""
      image: ska-pst-lmc
      instances: ["01", "02"]
      file: "data/beam.yaml"
      simulationMode: 0
      monitor_polling_rate: 5000
      health_check_interval: 1000
      scanOutputDirPattern: product/<eb_id>/<subsystem_id>/<scan_id>
      resources:
        limits:
          cpu: 100m
          memory: 150Mi
        requests:
          cpu: 0.5
          cpu: 50m
          memory: 50Mi
      volume:
        readOnly: false

  core:
    runtimeClassName: nvidia

    applications:
      # Allocate gpu resource to DSP.FT
      dsp_ft:
        command: ["bash"]
        args:
          - "-c"
          - "ska_pst_dsp_ft -d ${PST_DSP_MOUNT} -g 0 -c ${DSP_FT_MGMT_PORT}"
        resources:
          limits:
            nvidia.com/gpu: "1"
          requests:
            nvidia.com/gpu: "1"
      stat:
        resources:
          limits:
            cpu: 0.5
            memory: 800Mi
          requests:
            cpu: 0.5
            memory: 800Mi

    nodeSelectorTerms:
      - matchExpressions:
          - key: nvidia.com/gpu.count
            operator: In
            values:
              - "1"

    primaryVolumeMount:
      type: local-storage

  # LMC
  telescope: SKA-low

bootstrapMount:
  enabled: true

Deploy ska-pst with multiple beams in non simulation mode and with beam specific configurations.

  # Common k8s tolerations on ska-pst resources
  tolerations:
    - effect: NoExecute
      key: nvidia.com/gpu
      value: "true"
    - effect: NoSchedule
      key: skao.int/dedicated
      value: "pst"

  deviceServers:
    ## controller has only one instance
    pstLmc:
      enabled: true
      instances: ["01", "02"]

  core:
    runtimeClassName: nvidia

    applications:
      recv:
        resources:
          limits:
            cpu: 0.5
            memory: 800Mi
          requests:
            cpu: 0.5
            memory: 800Mi
      smrb:
        resources:
          limits:
            cpu: 0.5
          requests:
            cpu: 0.5
      dsp_disk:
        resources:
          limits:
            cpu: 0.5
            memory: 800Mi
          requests:
            cpu: 0.5
            memory: 800Mi
      dsp_ft:
        command: ["bash"]
        resources:
          limits:
            cpu: 0.5
          requests:
            cpu: 0.5
      stat:
        resources:
          limits:
            cpu: 0.5
            memory: 800Mi
          requests:
            cpu: 0.5
            memory: 800Mi

    podInstanceOverrides:
      # Ensure that pods are scheduled on nodes with GPUs
      "01":
        applications:
          # let beam-01 recv use interface name as the datastream network interface
          recv:
            dataNic: "enp226s0"
          # let beam-01 dsp_ft use gpu
          dsp_ft:
            args:
            - "-c"
            - "ska_pst_dsp_ft -d ${PST_DSP_MOUNT} -g 0 -c ${DSP_FT_MGMT_PORT}"
        nodeSelector:
          kubernetes.io/hostname: "pst-beam2"
      "02":
        applications:
          # let beam-02 recv use ipv4 address as the datastream network interface
          recv:
            dataNic: "202.9.15.141"
          # let beam-02 dsp_ft use cpu
          dsp_ft:
            args:
            - "-c"
            - "ska_pst_dsp_ft -d ${PST_DSP_MOUNT} -c ${DSP_FT_MGMT_PORT}"
        nodeSelector:
          kubernetes.io/hostname: "pst-beam2"


    nodeSelectorTerms:
      - matchExpressions:
          - key: kubernetes.io/hostname
            operator: In
            values:
              - "pst-beam2"

    primaryVolumeMount:
      type: local-storage

  # LMC
  telescope: SKA-low

bootstrapMount:
  enabled: true