Data on Kubernetes: Part 5 - Making AI/ML simpler Using Kubernetes to deploy and scale AI/ML models efficiently 📈

This page summarizes the projects mentioned and recommended in the original post on dev.to

Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
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InfluxDB - Purpose built for real-time analytics at any scale.
InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
www.influxdata.com
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  • examples

    TensorFlow examples (by tensorflow)

    PyTorch and TensorFlow are both strong in deep learning, but they're good at different things. TensorFlow, made by Google, is great for getting big machine learning models ready for use and for training them on many computers at once.

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

    Scout Monitoring logo
  • CPython

    The Python programming language

    Ray is such a tool, designed for Python, a widely-used programming language. It simplifies the execution of large-scale projects on multiple computers simultaneously.

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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