GitHub topics: gcp-compute-engine

Repositories

mazzasaverio/terraform-gcp-cloud-run

Terraform code to instantiate a Cloud Run V2 connected to a Postgres Cloud SQL, on which the pgvector extension will be enabled, with a connection to Redis and continuous deployment through the automatic trigger of Cloud Build.

Language: HCL - Size: 7.33 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 2

Nikk19hub/Uber-Data-Analytics-on-GCP

This project presents an end-to-end cloud-based analytics solution for taxi trip data using Google Cloud Platform. It integrates GCP services such as Cloud Storage, Compute Engine, BigQuery, and Looker Studio alongside Python and the Mage data pipeline tool to automate data ingestion, processing, and visualization.

Language: Jupyter Notebook - Size: 8.43 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

lordbaldwin1/transit-pipeline

Automated TriMet ETL pipeline and visualization over GCP Pub/Sub

Language: Python - Size: 28.3 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

BigDataIA-Spring2025-4/DAMG7245_Assignment02

SECBridge is a high-performance financial data pipeline that automates the extraction, transformation, validation, and visualization of SEC financial statement data. Built with Snowflake, Apache Airflow, FastAPI, and Streamlit, it enables efficient ETL processing, structured data storage, and API-driven access for financial analysis.

Language: Jupyter Notebook - Size: 497 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

sloopstash/kickstart-packer

Build secure, scalable, lightweight, and hardened OS/machine images for cloud and on-premise hypervisors using Packer.

Language: HCL - Size: 28.3 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 3

v0idzdev/bb-bot

🤖🔒 Fully-featured Discord bot with music, polls, memes and moderation.

Language: Python - Size: 558 KB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 36 - Forks: 25

kucera-lukas/micro-backends

Simple app to play around with RabbitMQ and gRPC based microservices

Language: Go - Size: 679 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

Cyclenerd/sap-on-gcp-scripts 📦

☕ SAP on Google Cloud Platform Boilerplate

Language: Shell - Size: 4.79 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1

kashifulhaque/discord-bot-for-gcp 📦

A Discord Bot to provision GCP Compute Engine instance. 🤖

Language: JavaScript - Size: 69.3 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 3

merogersdev/peace-of-mind

Peace of Mind - BrainStation Capstone Project

Language: JavaScript - Size: 870 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

TeamAllways-AllEars/All-Ears_Server

Springboot Backend Codes for 'All Ears'

Language: Java - Size: 60.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Antonio-Borges-Rufino/Build-an-ETL-Pipeline-for-Financial-Data-Analytics-on-GCP-IaC

Size: 858 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

OmarKhalil10/DogBreedSpotter

DogBreedSpotter is a Python-based image classification project designed to identify and classify dog breeds in images. This project utilizes deep learning models, including convolutional neural networks (CNNs) such as VGG, AlexNet, and ResNet, to accurately detect whether an image contains a dog and, if so, determine the breed.

Language: CSS - Size: 21.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

fpaupier/alertIngress

Ingress alerts for the Pi Mask Detection project. Read records from a Kafka topic and persist them to a PostgreSQL database.

Language: Go - Size: 64.5 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

Tejas-TA/Machine-Learning-Prediction-of-California-House-Prices

The repository contains the California House Prices Prediction Project implemented with Machine Learning. The app was deployed on the Flask server, implemented End-to-End by developing a front end to consume the Machine Learning model, and deployed in Azure, Google Cloud Platform, and Heroku. Refer to README.md for demo and application link

Language: Jupyter Notebook - Size: 20.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1