7.1
7.1 Model Lifecycle, Registry & Deployment
MLflow & W&B experiment metadata, end-to-end data/code/model lineage, GitOps model deployment, canary traffic shifting, and automated rollback.
Model Registry, Lineage & Experiment Tracking
Unified model artifact registry with MLflow & W&B, experiment hyperparameter tracking, full data/code/model lineage, S3/GCS artifact integrity, and multi-stage promotion workflows.
🏢 Companies
Databricks (MLflow)、Weights & Biases、Google Vertex AI、Amazon SageMaker、BentoML
🛠️ Tech Stack
Model RegistryMLflowWeights & BiasesExperiment TrackingLineageVertex AISageMaker
💼 Roles & Salary
MLOps Engineer、ML Infrastructure Engineer、AI Platform Engineer
💰 $195K - $400K / year (MLOps & Model Registry) | ¥550K - ¥1.25M / year
📚 Prerequisites: MLflow & W&B Registry SDKs • Docker/OCI Containerized Packaging • Object Storage Versioning (S3/GCS) • Metadata Lineage Graphs (OpenLineage)
Model CI/CD, Canary Rollouts & Automated Rollback
GitOps-based declarative model deployment, Kubeflow/BentoML pipelines, progressive canary traffic shifting (1%->10%->100%), blue-green deployments, and instant automated rollback.
🏢 Companies
BentoML、Kubeflow、Databricks (MLflow)、Amazon SageMaker、Azure ML
🛠️ Tech Stack
Model CI/CDGitOpsCanary DeploymentBlue-GreenAutomated RollbackKubeflowBentoML
💼 Roles & Salary
MLOps Engineer、DevOps / SRE、ML Infrastructure Engineer
💰 $190K - $390K / year (Model CI/CD & Deployment) | ¥520K - ¥1.2M / year
📚 Prerequisites: K8s Declarative Ops (CRD/Operator) • Argo Workflows & Kubeflow Pipelines • Service Mesh Traffic Shifting (Istio) • Canary Health Probes & Rollback Policies