Tag: #drift-detection
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 4 posts
MLOps Complete Guide — Model Serving, Feature Store, Drift, A/B Testing, GPU Economics (Season 2 Ep 7, 2025)
Training a model and running it in production are completely different games. Serving (TorchServe, Triton, vLLM, TGI), Feature Stores (Feast, Tecton), training infra (Ray, Determined), experiment tracking (MLflow, W&B),
2026-04-15 · 12 min read #mlops#model-serving#feature-store#drift-detection#ab-testingIaC Patterns & Best Practices 2025: Terraform Modules, Pulumi, Crossplane, State Management
Everything about IaC patterns! Terraform module design (composition/abstraction), Pulumi (programming language IaC), Crossplane (K8s native), state management (Remote State/Locking), drift detection, testing (Terratest/C
2026-04-14 · 19 min read #iac#terraform#pulumi#crossplane#cdktfTerraform and OpenTofu IaC drift detection and automatic recovery operation guide
A comprehensive IaC drift management guide that covers everything from the causes of infrastructure drift in Terraform and OpenTofu environments to building automatic detection pipelines, CI/CD integration, recovery stra
2026-03-07 · 26 min read #devops#terraform#opentofu#iac#drift-detectionML Model Monitoring and Drift Detection: Evidently AI + MLflow Production Operations Guide
A comprehensive guide covering production monitoring pipeline construction with Evidently AI and MLflow, data/concept drift detection, automatic retraining triggers, and operational troubleshooting.
2026-03-06 · 22 min read #ai-platform#model-monitoring#drift-detection#evidently-ai#mlflow