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Merge pull request #136 from kerberos-io/public-release-1786356403

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A new public release - 1786356403
This commit is contained in:
Cédric Verstraeten
2026-08-11 14:09:02 +02:00
committed by GitHub
parent 8ca4c402f8 c29647ec62
commit 123bde292e
1 changed files with 76 additions and 76 deletions
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152
charts/hub/values.yaml
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@@ -231,7 +231,7 @@ kerberoshub:
api:
repository: ghcr.io/uug-ai/hub-api
pullPolicy: IfNotPresent
tag: "v1.9.29"
tag: "v1.9.48"
replicas: 2
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# Set to false to skip rendering the hub-api Service (e.g. when an
@@ -344,7 +344,7 @@ kerberoshub:
frontend:
repository: ghcr.io/uug-ai/hub-frontend
pullPolicy: IfNotPresent
tag: "v1.9.32"
tag: "v1.13.0"
replicas: 2
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# Set to false to skip rendering the hub-frontend Service (e.g. when an
@@ -674,19 +674,19 @@ kerberoshub:
# kerberoshub.services.<operation> (deploy the objecttracking / loitering
# workers below).
definitions: {}
#tracking-workflow:
# enabled: true
# triggers:
# - type: automatic
# stages:
# - operation: objecttracking
# dispatch: always
# - operation: loitering
# dispatch: conditional
# # Fire loitering once objecttracking has resolved — a readiness join
# # (no condition ⇒ gate on the upstream's presence, not a value).
# needs:
# - operation: objecttracking
#tracking-workflow:
# enabled: true
# triggers:
# - type: automatic
# stages:
# - operation: objecttracking
# dispatch: always
# - operation: loitering
# dispatch: conditional
# # Fire loitering once objecttracking has resolved — a readiness join
# # (no condition ⇒ gate on the upstream's presence, not a value).
# needs:
# - operation: objecttracking
# Workflow deployments. Every workflows-subsystem Deployment's image/tag/
# replicas/resources/queue lives here in a single, uniform shape:
# - `workflows` is the engine itself (the orchestrator). It is deployed
@@ -723,61 +723,61 @@ kerberoshub:
requests:
memory: 10Mi
cpu: 10m
# ---------------------------------------------------------------------
# EXAMPLE custom stage worker (commented out) — hub-loitering.
#
# Companion deployment for the workflows.definitions example above (the
# loitering stage of tracking-workflow). Uncomment to deploy the demo
# worker. It ships as its own repository/module.
# See https://github.com/uug-ai/hub-loitering.
#loitering:
# # Deploy the hub-loitering worker.
# enabled: true
# repository: ghcr.io/uug-ai/hub-loitering
# pullPolicy: IfNotPresent
# tag: "v1.0.0"
# replicas: 1 # Number of pods for the worker.
# topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# #volumes:
# # - name: extra
# # emptyDir: {}
# #volumeMounts:
# # - name: extra
# # mountPath: /data
# logLevel: "info" # possible values: trace, debug, info, warn, error
# # Queue this worker consumes dispatched messages from (LOITERING_QUEUE). This
# # same value is taken into the matching workflows.definitions stage, so the
# # engine dispatches and the worker consumes the same queue with no drift.
# # Convention: "kcloud-<operation>-queue.fifo".
# queue: "kcloud-loitering-queue.fifo"
# resources:
# requests:
# memory: 10Mi
# cpu: 10m
# ---------------------------------------------------------------------
# EXAMPLE stage worker (commented out) for the workflows.definitions example
# above — hub-objecttracking. Uncomment the worker whose operation a
# definition references, so the engine dispatches and the worker consumes the
# same queue with no drift.
#objecttracking:
# # Deploy the object-tracking worker (operation "objecttracking").
# enabled: true
# repository: ghcr.io/uug-ai/hub-objecttracking
# pullPolicy: IfNotPresent
# tag: "v1.0.0"
# replicas: 1 # Number of pods for the worker.
# topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# logLevel: "info" # possible values: trace, debug, info, warn, error
# # Queue this worker consumes dispatched messages from (OBJECTTRACKING_QUEUE).
# queue: "kcloud-objecttracking-queue.fifo"
# resources:
# requests:
# memory: 10Mi
# cpu: 10m
# ---------------------------------------------------------------------
# EXAMPLE custom stage worker (commented out) — hub-loitering.
#
# Companion deployment for the workflows.definitions example above (the
# loitering stage of tracking-workflow). Uncomment to deploy the demo
# worker. It ships as its own repository/module.
# See https://github.com/uug-ai/hub-loitering.
#loitering:
# # Deploy the hub-loitering worker.
# enabled: true
# repository: ghcr.io/uug-ai/hub-loitering
# pullPolicy: IfNotPresent
# tag: "v1.0.0"
# replicas: 1 # Number of pods for the worker.
# topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# #volumes:
# # - name: extra
# # emptyDir: {}
# #volumeMounts:
# # - name: extra
# # mountPath: /data
# logLevel: "info" # possible values: trace, debug, info, warn, error
# # Queue this worker consumes dispatched messages from (LOITERING_QUEUE). This
# # same value is taken into the matching workflows.definitions stage, so the
# # engine dispatches and the worker consumes the same queue with no drift.
# # Convention: "kcloud-<operation>-queue.fifo".
# queue: "kcloud-loitering-queue.fifo"
# resources:
# requests:
# memory: 10Mi
# cpu: 10m
# ---------------------------------------------------------------------
# EXAMPLE stage worker (commented out) for the workflows.definitions example
# above — hub-objecttracking. Uncomment the worker whose operation a
# definition references, so the engine dispatches and the worker consumes the
# same queue with no drift.
#objecttracking:
# # Deploy the object-tracking worker (operation "objecttracking").
# enabled: true
# repository: ghcr.io/uug-ai/hub-objecttracking
# pullPolicy: IfNotPresent
# tag: "v1.0.0"
# replicas: 1 # Number of pods for the worker.
# topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# logLevel: "info" # possible values: trace, debug, info, warn, error
# # Queue this worker consumes dispatched messages from (OBJECTTRACKING_QUEUE).
# queue: "kcloud-objecttracking-queue.fifo"
# resources:
# requests:
# memory: 10Mi
# cpu: 10m
monitordevice:
repository: ghcr.io/uug-ai/hub-monitor-device
pullPolicy: IfNotPresent
tag: "v1.4.0"
tag: "v1.4.1"
replicas: 1 # Number of pods for the service.
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
logLevel: "info" # possible values: trace, debug, info, warn, error
@@ -855,7 +855,7 @@ kerberospipeline:
event:
repository: ghcr.io/uug-ai/hub-pipeline-event
pullPolicy: IfNotPresent
tag: "v1.3.0"
tag: "v1.3.1"
replicas: 1 # Number of pods for the service.
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# Optional extra volumes / volumeMounts for this deployment (empty = none).
@@ -873,7 +873,7 @@ kerberospipeline:
monitor:
repository: ghcr.io/uug-ai/hub-pipeline-monitor
pullPolicy: IfNotPresent
tag: "v1.3.10"
tag: "v1.3.11"
replicas: 1 # Number of pods for the service.
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# Optional extra volumes / volumeMounts for this deployment (empty = none).
@@ -890,7 +890,7 @@ kerberospipeline:
sequence:
repository: ghcr.io/uug-ai/hub-pipeline-sequence
pullPolicy: IfNotPresent
tag: "v1.6.18"
tag: "v1.6.23"
replicas: 1 # Number of pods for the service.
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# Optional extra volumes / volumeMounts for this deployment (empty = none).
@@ -925,7 +925,7 @@ kerberospipeline:
notify:
repository: ghcr.io/uug-ai/hub-pipeline-notification
pullPolicy: IfNotPresent
tag: "v1.3.9"
tag: "v1.3.17"
replicas: 1 # Number of pods for the service.
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
logLevel: "info" # possible values: trace, debug, info, warn, error
@@ -962,7 +962,7 @@ kerberospipeline:
analysis:
repository: ghcr.io/uug-ai/hub-pipeline-analysis
pullPolicy: IfNotPresent
tag: "v1.7.17"
tag: "v1.8.4"
replicas: 1 # Number of pods for the service.
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# Optional extra volumes / volumeMounts for this deployment (empty = none).
@@ -980,7 +980,7 @@ kerberospipeline:
dominantColor:
repository: ghcr.io/uug-ai/hub-pipeline-dominantcolors
pullPolicy: IfNotPresent
tag: "v2.0.2"
tag: "v2.0.3"
replicas: 3 # Number of pods for the service.
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# Optional extra volumes / volumeMounts for this deployment (empty = none).
@@ -1001,7 +1001,7 @@ kerberospipeline:
thumbnail:
repository: ghcr.io/uug-ai/hub-pipeline-thumbnail
pullPolicy: IfNotPresent
tag: "v1.3.6"
tag: "v1.3.10"
replicas: 2 # Number of pods for the service.
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# Optional extra volumes / volumeMounts for this deployment (empty = none).
@@ -1046,7 +1046,7 @@ kerberospipeline:
enabled: false # Enable or disable the sprite generation 'true' or 'false
repository: ghcr.io/uug-ai/hub-pipeline-sprite
pullPolicy: IfNotPresent
tag: "v1.1.14"
tag: "v1.1.16"
replicas: 5 # Number of pods for the service.
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
# Optional extra volumes / volumeMounts for this deployment (empty = none).
@@ -1070,7 +1070,7 @@ kerberospipeline:
export:
repository: ghcr.io/uug-ai/hub-pipeline-export
pullPolicy: IfNotPresent
tag: "v1.2.8"
tag: "v1.2.9"
replicas: 2 # Number of pods for the service.
topologySpreadConstraints: [] # Optional pod topology spread constraints (empty = none).
logLevel: "info" # possible values: trace, debug, info, warn, error