MLOps with Azure ML

106894

Deploy to ACI error fix (#126)

2.2.0 Update

Features:

• Multi-stage pipeline and scoring observability #122 @algattik
  • Replaces separate build + release pipelines with a single multi-stage pipeline with stages for Build, Train, ACI, AKS and Webapp deployment.
  • ACI, AKS and Webapp deployment are optionally enabled (through Variables).
  • Added example of custom traces (logging) and correlating traces with requests with Kusto queries.
  • Added example of distributed tracing (client passes a trace header, logged by the scoring service).
• Canary deployment sample #125 @eedorenko
  • Deploys two scoring images to a K8s cluster with Istio service mesh
  • Routes the traffic to the old/new models according to Canary weights
  • Routes the traffic to the old/new models analyzing the request header (A/B testing)

Fixes:

• Enabling continuous deployment for AML model error fix #91 @algattik
• No model associated with the scoring image fix #120 @algattik
• Azure ML Model deploy to ACI error fix #127 @eedorenko

MLOps with Azure ML

105846

Canary deployment (#125)

MLOps with Azure ML

105022

Multi-stage pipeline + scoring observability (#122)

MLOps with Azure ML

104665

Simplified build with Azure CLI; various bugfixes (#121)

2.1.1 Update

• Generalize model tag finder, tag model experiment_name #103 @dtzar
• Bump all the pip requirements to latest and resolve install errors #104 @dtzar
• Cleanup getting started doc #112 @dtzar
• Add some code comments #114 @dtzar
• Simplify build with Azure CLI, various bug fixes #121 @algattik
  • Use Azure CLI tasks to remove need for variables SP_APP_ID, SP_APP_SECRET, SUBSCRIPTION_ID, TENANT_ID
  • Updated getting_started.md to point out variable path to artifact (closes #117)
  • Made random hyperparameter (ridge regression alpha) a pipeline parameter, setting its value in the DevOps pipeline (closes #107)
  • Changed unit test to test actual training code (partially solves #74)
  • Fixed: attach_compute should set exit code after exception (closes #113)
  • Fixed scoring endpoint HTTP behavior (closes #110)
  • Fixed PipelineParameters format in call to Azure ML Extension (closes #118)
  • Fixed Model build environment for Azure Web App for containers (closes #119)

MLOps with Azure ML

102637

bump pip requirements versions (#104)

MLOps with Azure ML

102173

Cleanup getting started (#112)

MLOps with Azure ML

102170

Add code comments (#114)

MLOps with Azure ML

102074

Fix validate logic for no model found (#111)