Tibor Kiss tibkiss

Running Linux and Windows on M1 with QEMU

30.11.2020: Updated with the new patchseries and instructions for Windows

02.12.2020: Added tweaks

08.12.2020: Updated with patchseries v4

31.01.2020: Updated with patchseries v6

I suggest that you create one or more Api.fs files to expose F# code in a C# friendly way.

In this file:

Define functions with PascalCase names. They will appear to C# as static methods.
Functions should use tuple-style declarations (like C#) rather than F#-style params with spaces.

File	Purpose
`/etc/compose/docker-compose.yml`	Compose file describing what to deploy
`/etc/systemd/system/docker-compose-reload.service`	Executing unit to trigger reload on `docker-compose.service`
`/etc/systemd/system/docker-compose-reload.timer`	Timer unit to plan the reloads
`/etc/systemd/system/docker-compose.service`	Service unit to start and manage docker compose

	#!/usr/bin/env python

	import os
	import sys
	import argparse
	import logging
	from datetime import datetime, timedelta

	from typing import List, Optional
	from collections import defaultdict

	---
	apiVersion: v1
	kind: PersistentVolume
	metadata:
	# Can be anything, but has to be matched at line 47
	# Also should avoid conflicts with existing PV names in the namespace
	name: preprov-pv-cephfs-01
	spec:
	accessModes:
	- ReadWriteMany

	if sysbench.cmdline.command == nil then
	error("Command is required. Supported commands: run")
	end

	sysbench.cmdline.options = {
	point_selects = {"Number of point SELECT queries to run", 5},
	skip_trx = {"Do not use BEGIN/COMMIT; Use global auto_commit value", false}
	}

	local page_types = { "actor", "character", "movie" }

	#!/bin/bash

	RESULT_FILE=/tmp/result_$$

	rm -rf $HOME/tmp-fio
	mkdir -p $HOME/tmp-fio && cd $HOME/tmp-fio

	echo "Starting storage tests"
	echo "Results will be saved in $RESULT_FILE"

	import pandas as pd
	#https://github.com/RomelTorres/alpha_vantage
	from alpha_vantage.timeseries import TimeSeries
	ALPHA_VANTAGE_KEY = 'XXXXXXXXXXXX'

	##################################
	# Alpha vantage version of data.history and data.current

	def av_data_history(assets, fields, bar_count, frequency):
	ts = TimeSeries(key=ALPHA_VANTAGE_KEY, output_format='pandas')

	#!/bin/bash

	gdb -p "$1" -batch -ex 'set {short}$rip = 0x050f' -ex 'set $rax=231' -ex 'set $rdi=0' -ex 'cont'

	# How to monitor a secure external etcd service with Prometheus Operator
	This guide will help you monitor an external etcd cluster. When the etcd is not hosted inside Kubernetes.
	This is often the case with the Kubernetes setup. This has been tested with kube-aws but same principals will apply to other tools.

	# Step 1 - Make the etcd certificates available to Prometheus pod
	Prometheus Operator (and Prometheus) allow us to specify a tlsConfig. This is required as most likely your etcd metrics end points is secure.

	## a - Create the secrets in the namespace
	Prometheus Operator allows us to mount secrets in the pod. By loading the secrets as files, they can be made available inside the Prometheus pod.