[D] Production-ready ML models/pipelines/infrastructure best practice resources

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
Machine Learning Data Science applied-machine-learning Mlops Production

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • awesome-mlops

    A curated list of references for MLOps

    • #1: awesome-mlops github repo | 0 comments #2: Tracking the Performance of Your Machine Learning Models With MLflow | 2 comments #3: valeriano-manassero/mlops-k8s-infra

  • applied-ml

    📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

    • Just yesterday, I came across this Github repository with curated links from all industries and domains. Hope this helps!

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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