Search Results for "esp32-s3"

TAWS is a terminal-based user interface (TUI) tool designed to help developers view and manage Amazon Web Services (AWS) resources directly from the command line in a curses-style, interactive environment. It provides a unified interface where users can explore their AWS resources such as EC2 instances, S3 buckets, IAM users, and more, all without switching to a web console, which can speed up workflows for frequent cloud administrators and developers alike. Because it runs in a terminal and is written with performance in mind, taws offers rapid navigation, filtering, and inspection of cloud services while maintaining keyboard-driven efficiency, similar to how tools like k9s help interact with Kubernetes clusters. ...

S3cmd (s3cmd) is a free command line tool and client for uploading, retrieving and managing data in Amazon S3 and other cloud storage service providers that use the S3 protocol, such as Google Cloud Storage or DreamHost DreamObjects. It is best suited for power users who are familiar with command-line programs. It is also ideal for batch scripts and automated backup to S3, triggered from cron, etc. S3cmd is written in Python. It's an open-source project available under GNU Public License v2 (GPLv2) and is free for both commercial and private use. ...

...All dependencies, like images, js and css files, are included inside the same file, so that the script can run even on offline devices, like a local Raspberry Pi, or ESP32 microcontroller. The size of the script is bellow 1Mb, and i want to make it even smaller. To conclude, this script is also a repository of several hand made functions, organized in sections, meant for learning PHP and explore all PHP capabilities. You can learn, copy and use them on your own projects. Help the project with a donation: Will allow the view of two phpFileManager from diferent URLs on the same screen. ...

...To stop the local environment, Ctrl+C on the terminal and wait till the local runner and the postgres containers are stopped. You can setup the local Airflow's boto with the intended execution role to test your DAGs with AWS operators before uploading to your Amazon S3 bucket.