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The most used, flexible, fast and streaming parser for multipart form data. Supports uploading to serverless environments, AWS S3, Azure, GCP or the filesystem. Used in production.
a high-performance, POSIX-ish Amazon S3 file system written in Go
lakeFS - Data version control for your data lake | Git for data
Archival and Restoration for databases in the Cloud
Social networking platform with automated content moderation and context-based authentication system
A lightweight server clone of Azure Storage that simulates most of the commands supported by it with minimal dependencies
Zenko is the open source multi-cloud data controller: own and keep control of your data on any cloud.
Copy to/from Parquet in S3, Azure Blob Storage, Google Cloud Storage, http(s) stores, local files or standard inout stream from within PostgreSQL
The simplest, highest-throughput Python interface to S3, GCS & Azure Storage, powered by Rust.
This reference architecture walks you through the decision-making process involved in designing, developing, and delivering a serverless application using a microservices architecture through hands-on instructions for configuring and deploying all of the architecture's components along the way. The goal is to provide practical hands-on experience in working with several Azure services and the technologies that effectively use them in a cohesive and unified way to build a serverless-based microservices architecture.
This checklist is your guide to the best practices for deploying secure, scalable, and highly available infrastructure in Azure. Before you go live, go through each item, and make sure you haven't missed anything important!
Easily manage your storage account data with Microsoft Azure Storage Explorer. Easily upload, download, and manage data from blob containers, file shares, queues, tables, and virtual machine disks. Control access and sharing through CORS rules, ACLs and more.
Grafana Dash-n-Grab
Spring Boot Starters for Azure services
The Azure SaaS Development Kit (ASDK) provides a reference architecture, deployable reference implementation and tools to help developers, startups, ISVs and Enterprises deliver their applications as a SaaS service. A platform for platform creators.
🔗 A multipurpose Kafka Connect connector that makes it easy to parse, transform and stream any file, in any format, into Apache Kafka
⛳️ PASS: Microsoft Azure AZ-900 (Microsoft Azure Fundamentals) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.
Terraform on AWS with SRE & IaC DevOps | Real-World 20 Demos
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.