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GitHub Repo https://github.com/DARK-art108/Kubernetes-Setup-for-Production

DARK-art108/Kubernetes-Setup-for-Production

Some Guides to setup Kubernetes for Production Environment
GitHub Repo https://github.com/kgoralski/microservice-production-readiness-checklist

kgoralski/microservice-production-readiness-checklist

The principles that help to deploy safely to the production environment. If you like it:
GitHub Repo https://github.com/JetBrains/JetBrainsRuntime

JetBrains/JetBrainsRuntime

Runtime environment based on OpenJDK for running IntelliJ Platform-based products on Windows, macOS, and Linux
GitHub Repo https://github.com/chrisvanmeer/at-hashi-demo

chrisvanmeer/at-hashi-demo

Demonstration environment for the HashiCorp products
GitHub Repo https://github.com/DomHudson/bert-in-production

DomHudson/bert-in-production

A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.
GitHub Repo https://github.com/pichenettes/mutable-dev-environment

pichenettes/mutable-dev-environment

Development environment for the firmware of Mutable Instruments' products
GitHub Repo https://github.com/calintamas/react-native-environments-guide

calintamas/react-native-environments-guide

Set up environments in React Native using react-native-config, Xcode build schemes and Android product flavors
GitHub Repo https://github.com/SAP-archive/teched2019-cloud-cf-product-list

SAP-archive/teched2019-cloud-cf-product-list

Resources for SAP TechEd SEC364 Hands-on workshop, "Secure Microservices in Cloud Foundry Environment on SAP Cloud Platform".
GitHub Repo https://github.com/criteo-research/reco-gym

criteo-research/reco-gym

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
GitHub Repo https://github.com/microsoft/Deploy-Your-AI-Application-In-Production

microsoft/Deploy-Your-AI-Application-In-Production

A deployment of a secure, extensible and integrated environment for running AI Foundry workloads in Production. It simplifies the process of including essential Azure services necessary to run mission-critical AI applications and adhere to Microsoft Well Architected Framework recommendations.