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values.yaml
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namespace: default
env: dev
k8s_1dot8_or_above: true
has_static_volumes: true
services:
expose_node_port: true
certs:
ca_crt: XYZ==
server_crt: XYZ==
server_key: XYZ==
docker:
registry: docker.io
namespace: ffdl
image_prefix: ffdl-
pullPolicy: IfNotPresent
imagePullSecret: regcred
trainer:
image_name: trainer-v2-service
version: v0.1.1
port: 0
replicas: 1
cpus: 100m
memory: 64Mi
gpu_limits: nvidia-TeslaK80=20,nvidia-TeslaP100=10
ratelimiter_service_name: ""
#restapi:
# version: v0.1.1
# port: 0
# replicas: 1
# cpus: 50m
# memory: 64Mi
ffdl_lcm:
lcm:
image_name: lifecycle-manager-service
version: v0.1.1
port: 0
replicas: 1
cpus: 100m
memory: 64Mi
load_training_data_mem_in_mb: 300
milli_cpu: 60
mem_in_mb: 300
device_plugin: true
# This will used for "volume.beta.kubernetes.io/storage-class" for the shared volume
shared_volume_storage_class: ""
image_tag: "dev"
learner:
tag: master-97
docker_namespace: ffdl
kubeSecret: lcm-secrets
ffdl-model-metrics:
trainingdata:
image_name: training-data-service
version: v0.1.1
port: 0
replicas: 1
cpus: 50m
memory: 64Mi
databroker:
tag: v0.1.1
webui:
version: v0.1.1
port: 0
cpus: 50m
memory: 64Mi
mongo:
address: localhost:27017
username: test
password: test
etcd:
address: http://etcd:2379
username: test
password: test
prefix: test
objectstore:
type: s3_datastore
username: test
password: test
elasticsearch:
address: http://elasticsearch:9200
username: test
password: test
scheme: http
prometheus:
deploy: true
etcd_urls: localhost:2379
cluster_name: FfDL
port: 9090
alertmanager_port: 9093
grafana:
port: 3000
log:
level: INFO
global:
trainer_service_name: "ffdl-trainer"
lcm_service_name: "ffdl-lcm"
tds_service_name: "ffdl-trainingdata"
# DLAAS_TRAINER_SERVICE_NAME: "dlaas-trainer-v2"
# DLAAS_LCM_SERVICE_NAME: "dlaas-lcm"
# DLAAS_TDS_SERVICE_NAME: "dlaas-training-data"