Container resource management

The default Helm values included in the HCL Digital Experience 9.5 Helm Chart offer minimal supported configuration for CPU and Memory resources. You can adjust the values in the custom-values.yaml for a deployment according to the Kubernetes Resource Management.

# Resource allocation settings, definition per pod
# Use number + unit, e.g. 1500m for CPU or 1500M for Memory
# The limits can be set to null explicitly to not limit the resources. Cluster and namespace level resource limits will still apply.
resources:
  # Content composer resource allocation
  contentComposer:
    requests:
      cpu: "100m"
      memory: "192Mi"
    limits:
      cpu: "100m"
      memory: "192Mi"
  # Core resource allocation
  core:
    requests:
      cpu: "2000m"
      memory: "4096Mi"
    limits:
      cpu: "4000m"
      memory: "6144Mi"
  # DAM Plugin Google Vision resource allocation
  damPluginGoogleVision:
    requests:
      cpu: "100m"
      memory: "384Mi"
    limits:
      cpu: "100m"
      memory: "384Mi"
  # Digital asset management resource allocation
  digitalAssetManagement:
    requests:
      cpu: "500m"
      memory: "1536Mi"
    limits:
      cpu: "500m"
      memory: "1536Mi"
  # Image processor resource allocation
  imageProcessor:
    requests:
      cpu: "200m"
      memory: "2048Mi"
    limits:
      cpu: "200m"
      memory: "2048Mi"
  # Open LDAP resource allocation
  openLdap:
    requests:
      cpu: "200m"
      memory: "768Mi"
    limits:
      cpu: "200m"
      memory: "768Mi"
   # Persistence Connection Pool resource allocation
  persistenceConnectionPool:
    requests:
      cpu: "500m"
      memory: "512Mi"
    limits:
      cpu: "500m"
      memory: "512Mi"
  # PG Repmanager resource allocation
  persistenceNode:
    requests:
      cpu: "500m"
      memory: "1024Mi"
    limits:
      cpu: "500m"
      memory: "1024Mi"
  # Remote Search resource allocation
  remoteSearch:
    requests:
      cpu: "500m"
      memory: "2048Mi"
    limits:
      cpu: "500m"
      memory: "2048Mi"
  # Ring API resource allocation
  ringApi:
    requests:
      cpu: "100m"
      memory: "256Mi"
    limits:
      cpu: "100m"
      memory: "256Mi"
  # Runtime Controller resource allocation
  runtimeController:
    requests:
      cpu: "100m"
      memory: "256Mi"
    limits:
      cpu: "100m"
      memory: "256Mi"
  # Persistence metrics exporter resource allocation
  persistenceMetricsExporter:
    requests:
      cpu: "100m"
      memory: "128Mi"
    limits:
      cpu: "100m"
      memory: "128Mi"
  # Logging Sidecar resource allocation
  loggingSidecar:
    requests:
      cpu: "100m"
      memory: "64Mi"
    limits:
      cpu: "100m"
      memory: "64Mi"
  # HAProxy resource allocation
  haproxy:
    requests:
      cpu: "200m"
      memory: "300Mi"
    limits:
      cpu: "200m"
      memory: "300Mi"
  # License Manager resource allocation
  licenseManager:
    requests:
      cpu: "100m"
      memory: "300Mi"
    limits:
      cpu: "100m"
      memory: "300Mi"
  # DAM Kaltura Plugin resource allocation
  damPluginKaltura:
    requests:
      cpu: "100m"
      memory: "128Mi"
    limits:
      cpu: "100m"
      memory: "128Mi"
  # Prereqs Checker resource allocation
  prereqsChecker:
    requests:
      cpu: "100m"
      memory: "64Mi"
    limits:
      cpu: "100m"
      memory: "64Mi"

For recommended values for a small configuration, refer to Performance Sizing Guidance for Rendering with a Small Configuration.

Unlimited resource limits

All limits are explicitly set to null to unset them in Kubernetes and allow for unlimited resources depending on the Kubernetes Cluster. Cluster and namespace level resource limits still apply.

The limits are removed individually for either CPU or Memory. For example, to remove the Core CPU limit set the following:

resources:
  core:
    limits:
      cpu: null
      memory: "6144Mi"

To remove the limits entirely for an application, set the following:

resources:
  core:
    limits: null