Machine Learning Toolkit for Kubernetes
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Updated
May 25, 2024 - TypeScript
Machine Learning Toolkit for Kubernetes
Run @hashicorp Vault on Google Kubernetes Engine (GKE) with Terraform
Kubernetes Spring Boot Example commands
kubernetes series code
Steps and scripts for running @hashicorp Vault on @GoogleCloudPlatform Kubernetes
Sample programs for Cloud Computing course at UT Austin
In this workshop, you'll learn how to install and configure Istio, an open source framework for connecting, securing, and managing microservices, on Google Kubernetes Engine, Google’s hosted Kubernetes product. You will also deploy an Istio-enabled multi-service application
Unofficial PHP client for Kubernetes. It supports any form of authentication, the exec API, and it has an easy implementation for CRDs.
A GitHub Action that configure authentication to a GKE cluster.
Shifter - OpenShift workloads to GKE/Anthos
A sample web app deployment on Google Kubernetes Engine
Create a Google Kubernetes Engine cluster (stable)
Interact with Google Kubernetes Engine (GKE) from CircleCI
A sample project that demonstrates using CircleCI to deploy to Google Kubernetes Engine on GCP
Add digests to container and init container images in Kubernetes pod and pod template specs. Use either as a mutating admission webhook, or as a client-side KRM function with kpt or kustomize.
Running Gitpod in Google Kubernetes Engine
Kubeflow for Poets: A Guide to Containerization of the Machine Learning Production Pipeline
Demos for several kubernetes security features
Exekube is a framework for managing the whole lifecycle of Kubernetes-based projects as declarative code with Terraform and Helm
Microservices with Istio, gRPC, Redis, BigQuery, Spring Boot, Spring Cloud and Stackdriver
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