MinIO Client SDK for Javascript
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Updated
May 13, 2024 - JavaScript
MinIO Client SDK for Javascript
Some of my tools and sample code for building with AWS.
This is a juce application simulating our private JUCE APP to test whether the app can upload files to WASABI S3 and AWS
🌷 Building an app to manage orders
Golang file system abstraction tailored for AWS S3, enabling seamless streaming of binary objects along with their corresponding metadata.
Personal website built with React
🐈 @jiyuujin portfolios - nekohack.me
CodeSmith is a serverless application built within the AWS ecosystem. It utilizes AWS Lambda for executing the code generation logic, Amazon Bedrock for accessing the meta.llama3-70b-instruct-v1:0 model to generate code based on user requests, and Amazon S3 for storing the generated code.
Embark on a thrilling adventure into the AWS universe with our comprehensive repository of projects! From wielding the AWS CLI to scripting in Python and orchestrating infrastructure with CloudFormation and Terraform, dive deep into the world of cloud computing.
Serve static files from any S3 compatible object storage services (Let's Encrypt ready)
Demo Project: React Dashboard to view temperature readings sent from an IoT device.
The expense tracker application is developed using React.js for the frontend and Node.js for the backend. It aims to provide users with a platform to manage their expenses effectively. Hosted on an Amazon EC2 instance and utilizing Amazon Aurora MySQL.
lakeFS - Data version control for your data lake | Git for data
Build your React or Astro projects online
This project is a small demo application that combines a frontend built with React and a backend built with Go. It provides functionalities to upload files, list objects, delete objects, generate signed URLs, and create buckets.
This project aims to automate cloud cost optimization using Lambda functions and CloudWatch Events. By automatically managing resources such as EC2 instances, EBS snapshots, S3 buckets, and security groups, it helps to minimize unnecessary spending and improve overall efficiency in AWS environments.
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