This is an experimental Terraform provider that allows users to create a storage bucket in any of the cloud platforms - AWS, GCP and Azure
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Updated
Nov 9, 2021 - Go
This is an experimental Terraform provider that allows users to create a storage bucket in any of the cloud platforms - AWS, GCP and Azure
Multi Cloud Antivirus Scanning API using YARA and CLAMAV for AWS S3, Azure Blob Storage and GCP Cloud Storage
The MDACA Cloud Storage Explorer allows the user to securely manage files stored in a single or multi-cloud environment by leveraging a web browser to browse, upload, download, move, copy and delete files, create folders, and perform other file management operations across environments through a single, centralized interface.
The Terraform & Python code that helps to deploy static-website hosted on GCP Cloud Storage bucket. Every time an object is uploaded to static-website bucket, its Cache-Control metadata is updated by Cloud Function.
Deploy Cloud Functions from Cloud Storage, by using Cloud Functions and Cloud Build
cloud-array is an open-source Python library for storing and streaming large Numpy Arrays on local file systems and major cloud proviers CDNs.
This repository contains Terraform configuration files for setting up a remote backend on Google Cloud Platform (GCP). By utilizing Google Cloud Storage (GCS) as the backend, you can centralize your Terraform state files, enabling collaboration and version control for infrastructure as code projects.
CloudBucket is a Go package for easy interaction with a cloud storage bucket using Google Cloud Storage. It offers functions for file upload, retrieval, listing, and deletion. With support for signed URL generation and bulk object retrieval, it simplifies cloud storage integration in Go applications.
Objective is to build a web service to host an interactive dashboard of any given service and city of the end user's choice using Tableau Desktop
Datatalks Club Free Data Engineering Zoomcamp Project
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