Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
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Updated
Jun 13, 2024 - Python
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Source for Google Click to Deploy solutions listed on Google Cloud Marketplace.
Monitoring a Kubernetes cluster involves deploying and utilizing the Wazuh agent within the Kubernetes environment.
Create a GCP Kubernetes cluster, docker registry, static ip, dns entry, certificate map, cloudsql db (using terraform)
I have created 2 microservices, containerized them using docker and deployed them on Kubernetes cluster (GKE), using CI/CD and registry for containers. The Infrastructer as Code (IaC) approach is used for creating a k8s cluster.
A Blazing fast Security Auditing tool for Kubernetes
This project introduces you to Stackdriver's tracing feature, and provides a distributed tracing example that can serve as a basis for your own applications. You will deploy a multi-tier application to a Kubernetes Engine cluster and trace calls between the components.
Documentation for Kubeflow on Google Cloud
Developing Django Apps Using Cloud Code with Google Kubernetes Engine (GKE)
This microservice auto builds user repos and deploys them to the cluster
This repo includes Pythn Fast API scripts , Jenkins file and docker
【Flask/Kubernetes/GKE】Linebot Task management application
GKE cluster using Litmus Chaos Engine to validate Zebrium's unsupervised Machine Learning incident detection platform
This repository is a code sample to serve Large Language Models (LLM) on a Google Kubernetes Engine (GKE) cluster with GPUs running NVIDIA Triton Inference Server with FasterTransformer backend.
A Python-based application for listening to a pubsub subscription about GKE cluster messages and sending notifications to slack
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