Run your first Kubeflow pipeline

• awesome-mlops

  12 7,916 5.8

  A curated list of references for MLOps

  Recently I've been learning MLOps. There's a lot to learn, as shown by this and this repository listing MLOps references and tools, respectively.

• kind

  54 9,781 9.1 Go

  Kubernetes IN Docker - local clusters for testing Kubernetes

  

  However, installing and trying out Kubeflow Pipelines (KFP) is a lot simpler. In this post, we'll create a local cluster with kind, install KFP as described here and run our first pipeline.

• Scout APM

  scoutapm.com

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  Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  

• awesome-mlops

  3 1,307 8.2 Python

  :sunglasses: A curated list of awesome MLOps tools (by kelvins)

  Recently I've been learning MLOps. There's a lot to learn, as shown by this and this repository listing MLOps references and tools, respectively.

• kserve

  1 1,490 9.2 Jsonnet

  Serverless Inferencing on Kubernetes

  

  Kubeflow has multiple components: central dashboard, Kubeflow Notebooks to manage Jupyter notebooks, Kubeflow Pipelines for building and deploying portable, scalable machine learning (ML) workflows based on Docker containers, KF Serving for model serving (apparently superseded by KServe), Katib for hyperparameter tuning and model search, and training operators such as TFJob for training TF models on Kubernetes.

• kubeflow-learn

  1 0 2.5 Python

  The code for this example can be found in this repository.

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