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Common OpenSSL Commands with Keys and Certificates

SSL Info

Generate RSA private key with certificate in a single command

openssl req -x509 -newkey rsa:4096 -sha256 -keyout example.key -out example.crt -subj "/CN=example.com" -days 3650 -passout pass:foobar

Generate Certificate Signing Request (CSR) from private key with passphrase

openssl x509 -x509toreq -in example.crt -out example.csr -signkey example.key -passin pass:foobar

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# !/bin/bash
# Rocket.Chat Matrix Federation Setup
# Author: Alan Sikora <[email protected]>
# https://github.com/alansikora

PWD=$(pwd)
[[ $1 = "-dev" ]] && DEV=true || DEV=false

# Set image versions
ROCKETCHAT_IMAGE_TAG="5.4.0"

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Install AWS Load Balance Addon on your cluster

To verify that the controller is installed

kubectl get deployment -n kube-system aws-load-balancer-controller

Install Nginx controller in your cluster

This is what i used nginx controller please update the nginx controller service controller annotations. Once the manifest is applied next

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trigger:
- '*'

pool:
  name: Default

variables:
  image_name: mcr.microsoft.com/businesscentral/sandbox
  container_name: Build
  company_name: My Company

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Rocket Chat Search Basics

Introduction

Rocket Chat search supports the use of "regular expressions", the benefits of which are great search flexibility and the ability to search chat entries in any language, even ones which are traditionally a challenge for search (e.g. "CJK" languages - Chinese, Japanese, Korean).

Basic Regex Examples

Regular expressions are a deep, but admittedly geeky topic. The flexibility of "regex" search increases as you learn more about how to write regex patterns, but if you learn just a couple of simple patterns, you can benefit right away.

Let's see a few simple examples that you can try.

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Livechat rooms and messages both are stored in the same collection, rocketchat_room & rocketchat_message.

To first export the livechat rooms as a json file, use mongoexport like so,

mongoexport --collection=rocketchat_room --db=rocketchat \
  --jsonArray -q='{"t": "l"}' --sort='{_id: 1}' --pretty \
  --jsonFormat=relaxed --type=json --out=livechat_rooms.json

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Set KUBE_EDITOR to Visual Studio Code, assumes 'code' is in PATH

export KUBE_EDITOR='code --wait'

Running k edit ... will open up the yaml using Visual Studio Code.