ai-ml/t5-model-serving/kubernetes/loadgenerator.yaml (99 lines of code) (raw):
# Copyright 2023 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
apiVersion: v1
kind: ConfigMap
metadata:
name: loadgenerator-files
data:
locustfile.py: |
import os
from locust import FastHttpUser, between, task
class T5User(FastHttpUser):
wait_time = between(2.0, 2.5)
def on_start(self):
model_name = os.getenv('MODEL_NAME', 't5-small')
model_version = os.getenv('MODEL_VERSION', '1.0')
self.infer_url = f'{self.environment.host}/predictions/{model_name}/{model_version}'
self.payload = {
"text": "this is a test sentence",
"from": "en",
"to": "fr"
}
@task()
def t5(self):
with self.rest('POST', self.infer_url, json=self.payload, stream=False) as response:
if response.status_code == 200:
response.success()
else:
response.failure(response.js)
---
apiVersion: v1
kind: ConfigMap
metadata:
name: loadgenerator-env
data:
LOCUST_HOST: http://t5-inference:8080
LOCUST_USERS: "10000"
LOCUST_SPAWN_RATE: "250"
LOCUST_LOGLEVEL: error
LOCUST_WEB_PORT: "8080"
MODEL_NAME: "t5-small"
MODEL_VERSION: "1.0"
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: loadgenerator
labels:
app: loadgenerator
spec:
replicas: 1
selector:
matchLabels:
app: loadgenerator
template:
metadata:
labels:
app: loadgenerator
spec:
volumes:
- name: locustfile
configMap:
name: loadgenerator-files
containers:
- name: loadgenerator
image: locustio/locust
command: ["locust", "--autostart"]
envFrom:
- configMapRef:
name: loadgenerator-env
volumeMounts:
- mountPath: /home/locust
name: locustfile
resources:
requests:
memory: "512Mi"
cpu: "250m"
ephemeral-storage: "1Gi"
limits:
memory: "512Mi"
cpu: "250m"
ephemeral-storage: "1Gi"
readinessProbe:
httpGet:
scheme: HTTP
path: /
port: 8080
ports:
- containerPort: 8080
---
apiVersion: v1
kind: Service
metadata:
name: loadgenerator
spec:
type: ClusterIP
selector:
app: loadgenerator
ports:
- name: http
port: 8080
targetPort: 8080