JP aks deployment fix (microsoft#388)

* Change AKS deployment configuration Deployment config changed from 1CPU/4GB to 0.5CPU/2GB so it fits a AKS created with default parameters * Update custom_model.md Co-authored-by: João Pedro Martins <[email protected]>
pa-mc · Dec 14, 2021 · d8e29cc · d8e29cc
1 parent fa03633
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diff --git a/diabetes_regression/scoring/deployment_config_aks.yml b/diabetes_regression/scoring/deployment_config_aks.yml
@@ -7,8 +7,8 @@ autoScaler:
     targetUtilization: 70
 authEnabled: True
 containerResourceRequirements:
-    cpu: 1
-    memoryInGB: 4
+    cpu: 0.5
+    memoryInGB: 2
 appInsightsEnabled: True
 scoringTimeoutMs: 5000
 maxConcurrentRequestsPerContainer: 2

diff --git a/docs/custom_model.md b/docs/custom_model.md
@@ -97,6 +97,7 @@ If you want to keep scoring:
 1. Update or replace `[project name]/scoring/score.py`
 1. Add any dependencies required by scoring to `[project name]/conda_dependencies.yml`
 1. Modify the test cases in the `ml_service/util/smoke_test_scoring_service.py` script to match the schema of the training features in your data
+1. Check and modify [project name]/scoring/deployment_config_aks.yml if AKS deployment is planned. The deployment configuration shall suit custom model as well as AKS cluster size.
 
 # Configure Custom Batch Scoring