Isaac mbuotidem

APISIX mTLS for client to APISIX

Introduction

This gist provides a complete example of client-side authentication for Apache APISIX.

It includes the process of:

generating a certificate
configuring the certificate in APISIX
configuring the route in APISIX

UPDATE (March 2020, thanks @ic): I don't know the exact AMI version but yum install docker now works on the latest Amazon Linux 2. The instructions below may still be relevant depending on the vintage AMI you are using.

Amazon changed the install in Linux 2. One no-longer using 'yum' See: https://aws.amazon.com/amazon-linux-2/release-notes/

Docker CE Install

sudo amazon-linux-extras install docker
sudo service docker start

Taken from https://web.archive.org/web/20130517134339/http://bulba.sdsu.edu/jeanette/thesis/PennTags.html (since the source document now appears to be offline)

Penn Treebank II Tags

Note: This information comes from "Bracketing Guidelines for Treebank II Style Penn Treebank Project" - part of the documentation that comes with the Penn Treebank.

Windows Terminal Notes

Installing

Chocolatey: choco install microsoft-windows-terminal
Windows Store: https://www.microsoft.com/en-us/p/windows-terminal/9n0dx20hk701?activetab=pivot:overviewtab

TIP: Pin the Terminal to your Taskbar for quick and easy access

Docs

Great docs here: https://docs.microsoft.com/en-us/windows/terminal/

	import requests
	import json


	def fetch_json(url):
	response = requests.get(url)
	return response.json()


	def main():

	{
	"image": "mcr.microsoft.com/devcontainers/universal:2",
	"features": {
	"ghcr.io/devcontainers/features/terraform:1": {
	"tflint":"none",
	"installTFsec": "true",
	"terragrunt": "none"
	},
	"ghcr.io/devcontainers/features/aws-cli:1": {}
	},

	#!/bin/bash
	yum install httpd -y
	/sbin/chkconfig --levels 235 httpd on
	service httpd start
	instanceId=$(curl http://169.254.169.254/latest/meta-data/instance-id)
	region=$(curl http://169.254.169.254/latest/dynamic/instance-identity/document \| grep region \| awk -F\" '{print $4}')
	echo "<h1>$instanceId</h1>" > /var/www/html/index.html
	aws ec2 create-tags --resources "$instanceId" --tags Key=Name,Value="PROD-$instanceId" --region "$region"

	"""Script for fine-tuning Pegasus
	Example usage:
	# use XSum dataset as example, with first 1000 docs as training data
	from datasets import load_dataset
	dataset = load_dataset("xsum")
	train_texts, train_labels = dataset['train']['document'][:1000], dataset['train']['summary'][:1000]

	# use Pegasus Large model as base for fine-tuning
	model_name = 'google/pegasus-large'
	train_dataset, _, _, tokenizer = prepare_data(model_name, train_texts, train_labels)

	pipeline {
	agent any

	parameters {
	string(name: 'environment', defaultValue: 'default', description: 'Workspace/environment file to use for deployment')
	string(name: 'version', defaultValue: '', description: 'Version variable to pass to Terraform')
	booleanParam(name: 'autoApprove', defaultValue: false, description: 'Automatically run apply after generating plan?')
	}

	environment {