MLOps Architectures
https://aws.amazon.com/blogs/machine-learning/build-mlops-workflows-with-amazon-sagemaker-projects-gitlab-and-gitlab-pipelines/
https://aws.amazon.com/blogs/apn/taming-machine-learning-on-aws-with-mlops-a-reference-architecture/ => Best one
https://aws.amazon.com/blogs/machine-learning/train-machine-learning-models-using-amazon-keyspaces-as-a-data-source/ => Simple
https://towardsdatascience.com/industrializing-an-ml-platform-with-amazon-sagemaker-studio-91b597802afe => Having Sagemaker inner details in diagram
https://towardsdatascience.com/mlops-with-mlflow-and-amazon-sagemaker-pipelines-33e13d43f238 => This has MLFlow + Sagemaker
https://aws.amazon.com/blogs/machine-learning/architect-and-build-the-full-machine-learning-lifecycle-with-amazon-sagemaker/
https://awstip.com/deep-dive-to-train-deploy-and-evaluate-a-model-in-amazon-sagemaker-3c30514d9d17 => Simple basic using AWS step by step
https://mlinproduction.com/sagemaker-architecture/ => Another tutorial
https://aws.amazon.com/blogs/machine-learning/architect-and-build-the-full-machine-learning-lifecycle-with-amazon-sagemaker/ => Good one too
https://aws.amazon.com/blogs/mt/setting-up-machine-learning-environments-aws/ => Various environments
https://docs.aws.amazon.com/whitepapers/latest/build-secure-enterprise-ml-platform/automation-pipelines.html => Building a Secure MLOps Env
https://www.youtube.com/watch?v=Yz4NsQ4zl9g => From 17:00 - awesome
https://medium.com/trigger-ai/mlops-in-practice-machine-learning-ml-model-deployment-patterns-part-1-ce7cb575feda
https://towardsdatascience.com/mlops-in-practice-de-constructing-an-ml-solution-architecture-into-10-components-c55c88d8fc7a => 10 Elements required for MLOps
Using Opensource tools
https://aicurious.io/blog/2022-03-26-airflow-mlflow-or-kubeflow-for-mlops
https://medium.com/@amrkmrc/airflow-and-mlflow-integration-d93e193b8b74
https://mymlops.com/examples/airflow-mlflow
https://www.vantage-ai.com/en/blog/keeping-your-ml-model-in-shape-with-kafka-airflow-and-mlflow
Other readings
https://www.kdnuggets.com/2022/10/top-10-mlops-tools-optimize-manage-machine-learning-lifecycle.html
https://dzone.com/articles/using-machine-learning-for-log-analysis-and-anomal => log analysis
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