07. AI Platform / MLOps / LLMOps
MLflow
W&B
Vertex AI
SageMaker
Azure Machine Learning
Cloudflare
DatadogDatabricksIndustrializing the model lifecycle: model registries, automated CI/CD evaluation gates, intelligent model gateways, distributed tracing, and FinOps cost governance.
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.
MLflowW&BVertex AISageMakerModel 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.
MLflowSageMakerAzure Machine Learning7.2 Model Gateway, Routing & Traffic Control
Unified OpenAI-compatible API gateway (OpenRouter/LiteLLM/Portkey), multi-cloud load balancing, automatic failover, semantic intent routing, and multi-tenant rate limiting.
Unified Model Gateway, Provider Abstraction & Failover
Unified OpenAI-compatible API abstraction, intelligent multi-provider load balancing, automatic timeout retries and fallback failover, high-performance SSE streaming, and enterprise audit logs.
CloudflareSemantic Intent Routing, Multi-Tenancy & Rate Limiting
Semantic intent routing via lightweight embeddings/SLMs (distributing simple queries to SLMs, deep reasoning to o1/R1), multi-tenant quota isolation, and Redis distributed token bucket rate limiting.
Cloudflare7.3 Evaluation, PromptOps & Quality Gates
Prompt-as-code versioning, environment config injection, golden benchmark datasets, automated LLM-as-a-judge calibration, and regression gates.
Prompt Registry & PromptOps Lifecycle Management
Prompt-as-code management, dynamic parameter templating, version tagging, GitOps review workflows, A/B prompt experiment testing, and team collaboration workspaces.
W&BGolden Datasets, LLM-as-a-Judge & Automated Eval CI/CD
Golden evaluation dataset curation, multi-criteria LLM-as-a-judge scoring calibrated against human review, statistical significance testing (Pass@k), and automated pre-deployment regression gates.
W&B7.4 Observability, Cost & FinOps Governance
OpenTelemetry-compatible distributed tracing, end-to-end span debugging, real-time token cost attribution, multi-tenant chargeback, and FinOps budget controls.
LLM Distributed Tracing, Span Debugging & APM
OpenTelemetry-compatible distributed tracing, nested agent/tool/RAG span inspection, TTFT and TPOT anomaly diagnosis, payload auditing, and automated real-time alert triggers.
DatadogToken Cost Attribution, Multi-Tenant Chargeback & FinOps
Real-time token cost calculation across multi-cloud providers (prompt/completion/reasoning token pricing), departmental chargeback models, budget overrun triggers, cache hit analysis, and ROI efficiency reporting.
Databricks