https://www.youngju.dev/blog 천천히 올바르게. AI Researcher & DevOps Engineer Youngju's tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering. ko fjvbn2003@gmail.com (Youngju Kim) fjvbn2003@gmail.com (Youngju Kim) Sat, 16 May 2026 00:00:00 GMT https://www.youngju.dev/blog/culture/2026-05-16-open-source-ml-platforms-mlops-2026-kubeflow-metaflow-flyte-zenml-mlflow-bentoml-clearml-dvc-deep-dive.en https://www.youngju.dev/blog/culture/2026-05-16-open-source-ml-platforms-mlops-2026-kubeflow-metaflow-flyte-zenml-mlflow-bentoml-clearml-dvc-deep-dive.en As of May 2026, the production MLOps stack has crystallized into seven layers — experiment tracking (MLflow 3.0, W&B, Comet, Neptune.ai, Aim), pipeline orchestration (Kubeflow, Metaflow, Flyte, ZenML), model registries, serving (BentoML 1.4, Seldon Core 2, KServe, Triton, Ray Serve), feature stores (Feast, Hopsworks, Featureform), data versioning (DVC, lakeFS, Pachyderm), monitoring (Evidently, Arize, WhyLabs), and LLMOps. We compare each layer with real code, adoption patterns, and Korean and Japanese ecosystem context. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) englishmlopskubeflowmetaflowflytezenmlmlflowbentomlclearmldvcweights-and-biasesopen-source https://www.youngju.dev/blog/culture/2026-05-16-open-source-ml-platforms-mlops-2026-kubeflow-metaflow-flyte-zenml-mlflow-bentoml-clearml-dvc-deep-dive.ja https://www.youngju.dev/blog/culture/2026-05-16-open-source-ml-platforms-mlops-2026-kubeflow-metaflow-flyte-zenml-mlflow-bentoml-clearml-dvc-deep-dive.ja 2026年5月時点、本番 ML パイプラインを支える OSS MLOps スタックは 7 レイヤに収れんした。実験追跡(MLflow 3.0・W&B・Comet・Neptune.ai・Aim)、パイプラインオーケストレーション(Kubeflow・Metaflow・Flyte・ZenML)、モデルレジストリ、サービング(BentoML 1.4・Seldon Core 2・KServe・Triton・Ray Serve)、特徴量ストア(Feast・Hopsworks・Featureform)、データバージョニング(DVC・lakeFS・Pachyderm)、監視(Evidently・Arize・WhyLabs)、そして LLMOps まで、実コードと採用パターン、日本・韓国コミュニティ動向を含めて深掘りする。 Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) 日本語mlopskubeflowmetaflowflytezenmlmlflowbentomlclearmldvcweights-and-biasesopen-source https://www.youngju.dev/blog/culture/2026-05-16-open-source-ml-platforms-mlops-2026-kubeflow-metaflow-flyte-zenml-mlflow-bentoml-clearml-dvc-deep-dive https://www.youngju.dev/blog/culture/2026-05-16-open-source-ml-platforms-mlops-2026-kubeflow-metaflow-flyte-zenml-mlflow-bentoml-clearml-dvc-deep-dive 2026년 5월 기준 프로덕션 ML 파이프라인을 떠받치는 오픈소스 MLOps 스택을 끝까지 본다. 실험 추적(MLflow 3.0, W&B, Comet, Neptune.ai, Aim), 파이프라인 오케스트레이션(Kubeflow, Metaflow, Flyte, ZenML), 모델 레지스트리, 서빙(BentoML 1.4, Seldon Core 2, KServe, Triton, Ray Serve), 피처 스토어(Feast, Hopsworks, Featureform), 데이터 버저닝(DVC, lakeFS, Pachyderm), 모니터링(Evidently, Arize, WhyLabs), 그리고 LLMOps까지 한 글에서 깊이 정리한다. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) mlopskubeflowmetaflowflytezenmlmlflowbentomlclearmldvcweights-and-biasesopen-source