Displaying 1 to 8 from 8 results

cacti - :cactus: Extremely simple MongoDB/Redis backups to Amazon S3 with encryption and compression

  •    Javascript

You must ensure that the user running the CLI or interacting with the API has permission to access your Redis database backup file path. Note that if you have changed the paths below from the defaults provided then you'll need to adjust them.

node-glacier - A node.js module for Amazon Glacier

  •    Javascript

Under development... A node.js module for Amazon Glacier.

terraform-aws-s3-log-storage - This module creates an S3 bucket suitable for receiving logs from other AWS services such as S3, CloudFront, and CloudTrail

  •    HCL

This module creates an S3 bucket suitable for receiving logs from other AWS services such as S3, CloudFront, and CloudTrails. It implements a configurable log retention policy, which allows you to efficiently manage logs across different storage classes (e.g. Glacier) and ultimately expire the data altogether.




surge - A fast and reliable Amazon Glacier multipart uploader and downloader

  •    Go

surge is a fast and reliable Amazon Glacier multipart uploader and downloader. Amazon Glacier is a secure, durable, and extremely low-cost cloud storage service for data archiving and long-term backup.

GS.Core - Common tools for projects

  •    Pascal

GS.JSON Another JSON lib. this one permit JsonToObject and ObjectToJson Based upon this work Enhanced for full unicode (/uxxx) support Simple "periodic element" added. GS.Reference It implement a persistance layer muddleware for Key<>Value database. you will find an exemple of persister to, to build a fine fast key<>value database : Just very usefull for setting, parameter, and even huge static data (or not) It can be used too to build message system, and so on : Please see GS.Bus Repo for a full Key Value working exemple implementation.

oggm - Open Global Glacier Model

  •    Python

OGGM is able to simulate past and future mass-balance, volume and geometry of (almost) any glacier in the world, in a fully automated and extensible workflow. See the version history for a list of all contributors.

Awesome-Earth-Artificial-Intelligence - A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers

  •    

A curated list of tutorials, notebooks, software, datasets, courses, books, video lectures and papers specifically for Artificial Intelligence (AI) use cases in Earth Science. Maintained by ESIP Machine Learning Cluster. Free and open to inspire AI for Good.







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