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Brownfield Kubeflow on RKE2: Swapping Dex & SeaweedFS for Keycloak & Ceph RGW

Upstream Kubeflow assumes a greenfield cluster and ships its own Dex, SeaweedFS and MySQL, with its own oauth2-proxy in front. My homelab already had better versions of most of those. This is the brow

2 georgeezejiofor.com

AnirudhOct 2 · 4 min read

Why Fine-Tuning an LLM Shouldn’t Cost $300: Solving GPU Scarcity, Cloud Markups, and OOM Crashes

How autonomous multi-cloud failover, cryptographic financial permits, and preflight VRAM guards eliminate the hidden taxes of AI training. The 2:00 AM Cloud GPU Nightmare If you’ve ever tried to fine-

ai-ml-cuda-devops.hashnode.dev

Manu ShuklaAug 24 · 11 min read

SageMaker MLflow got customer managed keys on 24 August 2026, in 16 Regions and on apps only

SageMaker MLflow got customer managed keys on 24 August 2026, in 16 Regions and on apps only Summary. AWS announced customer managed key encryption for SageMaker MLflow on 24 August 2026, using AWS KM

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Ubani Obiajulum EmmanuelAug 22 · 17 min read

I Built a Production MLOps Pipeline for Fraud Detection That Automatically Retrains When It Detects Data Drift — Full Implementation

A Fraud Detection Model That Nobody Was Watching It was the quarterly business review when the CFO asked a question nobody on the engineering team could answer. "Our fraud loss rate has been climbing

emmanuelubani.hashnode.dev

Thamu MnyulwaJul 22 · 6 min read

MLflow Autologging and Zero-Config Tracking

The fastest way to make experiment tracking real is not to build a perfect logging abstraction. It is to add one line before the training code and let MLflow capture the boring details automatically.

thamu.hashnode.dev

Thamu MnyulwaJul 19 · 7 min read

Suivi d'experiences reproductible avec MLflow et UV

La plupart des tutoriels MLflow commencent par pip install mlflow et se terminent par une capture de la Tracking UI. C'est utile, mais cela evite souvent la partie qui casse la reproductibilite en pre

thamu.hashnode.dev

Thamu MnyulwaJul 19 · 7 min read

Reproduzierbares Experiment-Tracking mit MLflow und UV

Die meisten MLflow-Tutorials beginnen mit pip install mlflow und enden mit einem Screenshot der Tracking UI. Das ist hilfreich, aber es ueberspringt den Teil, der Reproduzierbarkeit meistens zuerst br

thamu.hashnode.dev

Thamu MnyulwaJul 19 · 7 min read

Reproducible Experiment Tracking with MLflow and UV

Most MLflow tutorials open with pip install mlflow and end with a screenshot of the tracking UI. That is useful, but it misses the part that usually breaks reproducibility first: the environment. A lo

thamu.hashnode.dev

Thamu MnyulwaJul 14 · 12 min read

Productionising Generative AI with MLflow 3.x: Tracing, Evaluation, and Prompt Optimisation

Generative AI systems fail differently from traditional software. In a normal HTTP service, a production incident often reduces to familiar questions: did the request time out, did the database return

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Thamu MnyulwaJul 14 · 11 min read

Evaluer la GenAI avec mlflow.genai.evaluate() : au-dela de l'accuracy

La premiere erreur dans l'evaluation des systemes GenAI consiste a traiter la sortie comme une etiquette de classification. Cela fonctionne pour des taches de machine learning deterministes. Cela ne f

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Brownfield Kubeflow on RKE2: Swapping Dex & SeaweedFS for Keycloak & Ceph RGW

Why Fine-Tuning an LLM Shouldn’t Cost $300: Solving GPU Scarcity, Cloud Markups, and OOM Crashes

SageMaker MLflow got customer managed keys on 24 August 2026, in 16 Regions and on apps only

I Built a Production MLOps Pipeline for Fraud Detection That Automatically Retrains When It Detects Data Drift — Full Implementation

MLflow Autologging and Zero-Config Tracking

Suivi d'experiences reproductible avec MLflow et UV

Reproduzierbares Experiment-Tracking mit MLflow und UV

Reproducible Experiment Tracking with MLflow and UV

Productionising Generative AI with MLflow 3.x: Tracing, Evaluation, and Prompt Optimisation

Evaluer la GenAI avec mlflow.genai.evaluate() : au-dela de l'accuracy