efs

Docker NFS, AWS EFS, Ceph & Samba/CIFS Volume Plugin

CSI Driver for Amazon EFS https://aws.amazon.com/efs/

Forensics tool for NTFS (parser, mft, bitlocker, deleted files)

delivery tracking library for Node.js

Terraform module to create AWS Backup plans. AWS Backup is a fully managed backup service that makes it easy to centralize and automate the back up of data across AWS services (EBS volumes, RDS databases, DynamoDB tables, EFS file systems, and Storage Gateway volumes).

Terraform Module to define an EFS Filesystem (aka NFS)

AWS CDK/Cloudformation to deploy a Valheim Server using ECS Fargate!

AWS SAM templates and examples for Amazon EFS for AWS Lambda. Questions? @jbesw

a collection of modern sparse (regularized) linear regression algorithms.

Terraform module to provision AWS Backup, a fully managed backup service that makes it easy to centralize and automate the back up of data across AWS services such as EBS volumes, RDS databases, DynamoDB tables, EFS file systems, and AWS Storage Gateway volumes.

efsu is for accessing AWS EFS from your machine without a VPN

Terraform module designed to easily backup EFS filesystems to S3 using DataPipeline

Demonstration of how to deploy a scalable video conference solution based on Big Blue Button

Serverless web application to manage data in your Amazon EFS Filesystem

Proof of concept: Install wordpress environment using ansible, packer, docker, terraform and AWS.

Node-RED on AWS with EFS to enable horizontal scaling. Uses Elastic Beanstalk to create additional instances into a load-balanced auto-scaling group as required.

Amazon EFS Integrations

ECS with ALB Pipeline for Production Microservices on AWS

Sample code for running IBM® MQ on Amazon Web Services (AWS)

Zero administration inference with AWS Lambda for 🤗

AWS CloudFormation and SAM templates for machine learning inference with AWS Lambda.

sceptre wordpress configured HA mode in AWS

A scalable jenkins slaves built on Docker and Nomad over AWS

'Roiergasias' kubernetes operator is meant to address a fundamental requirement of any data science / machine learning project running their pipelines on Kubernetes - which is to quickly provision a declarative data pipeline (on demand) for their various project needs using simple kubectl commands. Basically, implementing the concept of No Ops. The fundamental principle is to utilise best of docker, kubernetes and programming language features to run a workflow with minimal workflow definition syntax. It is a Go based workflow running on command line or Kubernetes with the help of a custom operator for a quick and automated data pipeline for your machine learning projects (a flavor of MLOps).

Kubernetes Docker container to backup EFS to S3 on schedule

Official Solodev AWS Marketplace Launch Pad

Terraform script for production grade eks provisioning

A simple to maintain background job and message queue service. https://nickpoorman.com/2020-07-26-data-pipelines-part-2-retries/

The project is completely deployed in the AWS cloud with the help of several services offered by AWS.

Run serverless containers with AWS Fargate and use persistent storage from Amazon EFS