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How to passthrough SATA drives directly on VMWare EXSI 6.5 as RDMs

There aren't many tutorials about this, the only tutorials I've found were about passing through entire PCIe cards to VMs, or refered to old ESXI versions (below 6.5) that used a more comprehensive desktop client instead of the web app. In v6.5, the web app was introduced and the desktop client was deprecated. You used to be able to setup RDMs in the desktop client, but with the introduction of the web console, this is no longer the case. This tutorial shows you how to pass SATA HDDs to the virtual machine on VMWare ESXI 6.5. This tutorial is partially based on VMWare's own KB and the now deprecated Forza IT blog post.

A word about VMWare ESXI 6.7

There is now an option while editing your VM's settings to add a New raw disk when you click `Add ha

CQRS, Task Based UIs, Event Sourcing agh!

Posted by gregyoung on February 16, 2010

Many people have been getting confused over what CQRS is. They look at CQRS as being an architecture; it is not. CQRS is a very simple pattern that enables many opportunities for architecture that may otherwise not exist. CQRS is not eventual consistency, it is not eventing, it is not messaging, it is not having separated models for reading and writing, nor is it using event sourcing. I want to take a few paragraphs to describe first exactly what CQRS is and then how it relates to other patterns.

CQRS Command and Query Responsibility Segregation

Starting with CQRS, CQRS is simply the creation of two objects where there was previously only one. The separation occurs based upon whether the methods are a command or a query (the same definition that is used by Meyer in Command and Query Separation, a command is any method that mutates state and a query is any method that returns a value).

	#!/usr/bin/python2


	# Copyright (C) 2016 Sixten Bergman
	# License WTFPL
	#
	# This program is free software. It comes without any warranty, to the extent
	# permitted by applicable law.
	# You can redistribute it and/or modify it under the terms of the Do What The
	# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See

	<?php

	define('BOT_TOKEN', '7041512989:AAFYTQ-CI0Umr1SF2IdU2Yqzbc3McXbHu4g'); // place bot token of your bot here

	function checkTelegramAuthorization($auth_data) {
	$check_hash = $auth_data['hash'];
	unset($auth_data['hash']);
	$data_check_arr = [];
	foreach ($auth_data as $key => $value) {
	$data_check_arr[] = $key . '=' . $value;

	<!DOCTYPE html>
	<html lang="pt-br">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Meus objetivos do ano</title>
	<link rel="stylesheet" href="style.css">
	</head>
	<body>
	<section class="conteudo-principal">

	{ config, lib, pkgs, ... }:

	with lib;

	{
	imports =
	[
	<nixpkgs/nixos/modules/installer/cd-dvd/channel.nix>
	./machine-config.nix
	];

	from flask import Flask
	from subprocess import check_output

	app = Flask(__name__)

	@app.route('/')
	def root():
	nf = '<pre>' + check_output('neofetch --stdout', shell=True).decode('utf-8') + '</pre>'
	lsblk = '<pre>' + check_output('lsblk').decode('utf-8') + '</pre>'
	return f'<h1>Server is running!</h1><br>\n{nf}\n<br>\n{lsblk}'

	#!/usr/bin/env zsh

	# Note:
	# CMake, Clang, clang-format, Ninja, git and sed are required to build
	#
	# Note that currently there is a bug (https://github.com/google/binexport/issues/117)
	# that requires applying this patch, remove when resolved
	#

	if [ -d ~/Downloads ]

	# The goal of this file is to provide a FastAPI application for handling
	# chat requests amd generation AI-powered responses using conversation chains.
	# The application uses the LangChaing library, which includes a chatOpenAI model
	# for natural language processing.

	# The `StreamingConversationChain` class is responsible for creating and storing
	# conversation memories and generating responses. It utilizes the `ChatOpenAI` model
	# and a callback handler to stream responses as they're generated.

	# The application defines a `ChatRequest` model for handling chat requests,