Displaying 1 to 20 from 28 results

functions-samples - Collection of sample apps showcasing popular use cases using Cloud Functions for Firebase

  •    Javascript

This repository contains a collection of samples showcasing some typical uses of Cloud Functions for Firebase.Cloud Functions is a hosted, private, and scalable Node.js environment where you can run JavaScript code. Cloud Functions for Firebase integrates the Firebase platform by letting you write code that responds to events and invokes functionality exposed by other Firebase features.

goofys - a high-performance, POSIX-ish Amazon S3 file system written in Go

  •    Go

Goofys allows you to mount an S3 bucket as a filey system. It's a Filey System instead of a File System because goofys strives for performance first and POSIX second. Particularly things that are difficult to support on S3 or would translate into more than one round-trip would either fail (random writes) or faked (no per-file permission). Goofys does not have a on disk data cache (checkout catfs), and consistency model is close-to-open.




thanos - Highly available Prometheus setup with long term storage capabilities.

  •    Go

Thanos is a set of components that can be composed into a highly available metric system with unlimited storage capacity. It can be added seamlessly on top of existing Prometheus deployments and leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly.

wal-e - Continuous Archiving for Postgres

  •    Python

WAL-E is a program designed to perform continuous archiving of PostgreSQL WAL files and base backups. To correspond on using WAL-E or to collaborate on its development, do not hesitate to send mail to the mailing list at wal-e@googlegroups.com (archives and subscription settings). Github issues are also currently being used to track known problems, so please feel free to submit those.

mc - Minio Client is a replacement for ls, cp, mkdir, diff and rsync commands for filesystems and object storage

  •    Go

Minio Client (mc) provides a modern alternative to UNIX commands like ls, cat, cp, mirror, diff, find etc. It supports filesystems and Amazon S3 compatible cloud storage service (AWS Signature v2 and v4).then use the mc config command.


kafka-connect-storage-cloud - Kafka Connect suite of connectors for Cloud storage (currently including Amazon S3)

  •    Java

Documentation for this connector can be found here.To build a development version you'll need a recent version of Kafka. You can build kafka-connect-storage-cloud with Maven using the standard lifecycle phases.

django-gapc-storage - a Django storage backend using GCS JSON API

  •    Python

django-gapc-storage is a Django storage backend for Google Cloud Storage using the JSON API through google-api-python-client. Set the GCS_BUCKET environment variable to the GCS bucket to be used by the storage backend.

gcs-resource - Concourse resource for interacting with Google Cloud Storage

  •    Go

Versions objects in a Google Cloud Storage (GCS) bucket, by pattern-matching filenames to identify version numbers. This resource is based on the official S3 resource.

cloudstorage - Cloud & local storage unified api (s3, google, azure, sftp, local)

  •    Go

Cloudstorage is an library for working with Cloud Storage (Google, AWS, Azure) and SFTP, Local Files. It provides a unified api for local files, sftp and Cloud files that aids testing and operating on multiple cloud storage. Note: For these examples all errors are ignored, using the _ for them.

gcs-fuse-sample - Sample configuration using Google Cloud Storage as a container volume on Kubernetes

  •    

This directory contains a sample deployment using Google Cloud Storage as a multi RW file system that can be mounted from different containers. The deployment file contains the required configuration for a container to start with a Google Cloud Storage bucket mounted in a given path.

django-gcloud-storage - Django storage module implementation for Google Cloud Storage

  •    Python

Django storage module implementation for Google Cloud Storage using the google-cloud-storage python module by Google. Please keep in mind that this version is not yet used in any production application (as far as I know of) and thus is an alpha release, even though fully tested! Any kind of feedback is greatly appreciated.

jgscm - Jupyter support for Google Cloud Storage

  •    Python

Jupyter Google Storage Contents Manager allows working with Jupyter notebooks directly in Google Cloud Storage. It aims to be a complete drop-in replacement for the stock filesystem ContentsManager. Thus JGSCM is only compatible with a relatively modern IPython/Jupyter stack (version 4 and above). The root level of the virtual file system is the list of buckets, which are presented as directories. In turn, each bucket is presented as an ordinary folder where users can create files, subdirectories and notebooks. Besides, snapshots are completely supported too.

crmint - CRMint makes reliable data integration and data processing with Google easy for advertisers

  •    Python

Make reliable data integration and data processing with Google easy for advertisers. You can have data without information, but you cannot have information without data.

googleCloudStorageR - Google Cloud Storage API to R

  •    R

R library for interacting with the Google Cloud Storage JSON API (api docs). Google Cloud Storage charges you for storage (prices here).