Josh Delsman voxxit

Lima (Linux virtual machines, on macOS) installation guide for M1 Mac.

Sep. 27th 2021 UPDATED

Now we can install patched version of QEMU via Homebrew (thank you everyone for the info!). Here is the updated instruction with it:

Used M1 Mac mini 2020 with macOS Big Sur Version 11.6.

1. Install QEMU & Lima

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.

OS X iMessage (Messages) database merger

Use it at your own risk! You might end up worse than before. Backup everything beforehand. Twice.

If you have the Messages app setup in multiple Macs with the same Apple ID you may end up with iMessages (or SMS) scattered around all of these Macs. This is because after a certain time the new iMessages (or SMS) recevied will cease to push to devices afer a certain time has elapsed. Thus, if a computer has been offline for some period of time it won't get the new iMessages.

Each Messages instance stores the information in a SQLite database, to consolidate all these databases run the script below. This is where the Messages app stores the SQLite database under ~/Library/Messages, the folder contents will look like as follows:

chat.db

SQLite Update Hook Example

This is an example usage of registering an update_hook to a SQLite connection. The motivation for exploring this feature is to test out various implementations of data monitoring interfaces.

A few notable properties of the implementation:

The hook must be registered on the connection being used which requires clients to manually integrate this code.
Each INSERT and UPDATE operation requires a subsequent SELECT to get the row data.
When registering the hook, increasing the bufsize under heavy workloads will improve throughput, but the SQLite library is single-threaded by design.

git clone https://gist.github.com/dd6f95398c1bdc9f1038.git vault
cd vault
docker-compose up -d
export VAULT_ADDR=http://192.168.99.100:8200

Initializing a vault:

vault init

	// I'm tired of extensions that automatically:
	// - show welcome pages / walkthroughs
	// - show release notes
	// - send telemetry
	// - recommend things
	//
	// This disables all of that stuff.
	// If you have more config, leave a comment so I can add it!!

	{

	import { IncomingMessage, RequestListener, ServerResponse } from "http"
	import { createServer, Server } from "https"
	import puppeteer, {
	Browser,
	BrowserLaunchArgumentOptions,
	Protocol
	} from "puppeteer-core"

	import { Page } from "./types"
	import Cookie = Protocol.Network.Cookie

	groups:
	- name: Prometheus self-monitoring
	rules:

	# A Prometheus job has disappeared
	- alert: PrometheusJobMissing
	expr: absent(up{job="my-job"})
	for: 5m
	labels:
	severity: warning

	#!/bin/bash

	if [ `id -u` -ne 0 ]; then
	echo "Rippling uninstall must be run by root"
	exit 1
	fi

	sudo launchctl unload /Library/LaunchDaemons/com.rippling.*
	sudo rm -rf /Library/LaunchDaemons/com.rippling.*
	sudo rm -rf /opt/rippling

	FROM haproxy:1.7

	ENV CT_VERS=0.16.0 \
	CONSUL_HTTP_ADDR=demo.consul.io

	RUN apt-get update \
	&& apt-get -y install --no-install-recommends curl ca-certificates unzip \
	&& curl -O https://releases.hashicorp.com/consul-template/${CT_VERS}/consul-template_${CT_VERS}_linux_amd64.zip \
	&& unzip consul-template_${CT_VERS}_linux_amd64.zip \
	&& mv consul-template /usr/local/bin/ \