There are 0 repository under s3fs topic.
ZeroFS - The Filesystem That Makes S3 your Primary Storage. ZeroFS is 9P/NFS/NBD on top of S3. Initially built for www.merklemap.com
Management Platform for Social Media Post Scheduling & Analytics written in Python. Designed to be highly configurable and extendable.
Docker + Nginx RTMP + S3FS (AWS S3 Integration)
Goofys S3 Filesystem Docker Implementation
A production-grade data pipeline has been designed to automate the parsing of user search patterns to analyze user engagement. Extract data from S3, apply a series of transformations and load into S3 and Redshift.
Fedora/CentOS/RH/Amazon RPMs for S3FS-Fuse https://github.com/s3fs-fuse/s3fs-fuse
Python library allowing to manipulate data split into a collection of groups stored in Zarr format.
Build s3fs from Docker
Finally, Terraform module for FUSE FS benchmarks
Kubernetes Storage Workshop
Credential library for s3fs-fuse
An user interface for mount and unmount S3-compatible storage with s3fs-fuse in Python
Docker Engine managed plugin to manage S3 volumes.
Docker image which provides an SFTP access mounting a specified S3 bucket.
Code created based on ready script. I added lines to help with the continuous data download, there is still a lot to be added. In case of lack of data the library itself returns an error message and for the download.
S3FS is FUSE (File System in User Space) based solution to mount an Amazon S3 buckets, We can use system commands with this drive just like as another Hard Disk in the system. On s3fs mounted files systems we can simply use cp, mv and ls the basic Unix commands similar to run on locally attached disks.
Secured implementation of s3fs file system with rc4 encryption
Interacting with public cloud object storage
Some helpful tools for AWS
This code gives one an introduction on the libraries to use to extract data from a social media platform. With aims of using Airflow to deploy our code on EC2 machine and then we will sink our data into Amazon S3.
This project demonstrates your ability to design and implement scalable data pipelines, optimize for performance and reliability, and leverage a variety of tools and technologies to achieve your goals. By quantifying the results, you can showcase the impact of your work and the scale at which you operated.
A real-time stock market data analysis project using Apache Kafka⚡, Python, and AWS. It streams live stock data, processes it in real-time, and stores it in AWS S3 for further analysis using AWS Glue and Athena. This project showcases a scalable, cloud-native architecture for handling financial data efficiently
My own personal collection of example templates for Vast S3