Cloud Dataflow Google-provided templates for solving in-Cloud data tasks

KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

Apache Beam is a unified programming model for Batch and Streaming data processing.

Various utilities to be reused on GCP

An open source trusted cloud native registry project that stores, signs, and scans content.

Configures opinionated GKE clusters

Go client for Kubernetes.

Elastic Cloud on Kubernetes

Config files for my GitHub profile.

Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

A horizontally scalable, highly available, multi-tenant, long term Prometheus.

Code samples used on cloud.google.com

Retail banking sample application showcasing Kubernetes and Google Cloud

PubSubClient (PSC)

Code samples for using Python on Google Cloud Platform

LeetCode C++ solution

Distributed reliable key-value store for the most critical data of a distributed system

flannel is a network fabric for containers, designed for Kubernetes

Leetcode solutions

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Community-contributed images for Google Cloud Build

This is a repo with links to everything you'd ever want to learn about data engineering

Builder images and examples commonly used for Google Cloud Build

Google Cloud Platform Certification resources.

Deployment Manager samples and templates.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Anthos code samples

Collection covers kubernetes exercises categorized topics-wise and referred back to the individual Kubernetes certification exams.