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Python Script for Monitoring Running Processes and Docker Containers

This Python script captures and logs information about running OS processes and Docker containers on a Unix-like system. It filters out specific unwanted processes (e.g., system tasks, internal commands) to provide a clear view of active user processes and containers.

Features

• Process Monitoring: Uses the ps command to retrieve detailed information about running processes, including user, PID, CPU, and memory usage.
• Docker Integration: Utilizes Docker CLI to fetch active container information in JSON format.
• Exclusion List: Implements an exclusion mechanism to filter out system processes and commands based on a predefined list.
• Output in JSON: Saves results in separate JSON files (running_processes.json and docker_containers.json) for easy consumption and analysis.
• Error Logging: Captures errors during execution in a dedicated log file.

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Jira and MySQL upgrade

This GIST is a compilation of steps/instructions to help on how to

1. Upgrade MySQL to version 8 from version 5
2. Upgrade Jira to version 9.4 LTS from version 8.x
3. Fix MySQL collation issues for new version of Jira

These steps have been executed on Ubuntu 24.04 after a few subsecuent Ubuntu OS upgrades with the do-release-upgrade tool. It might be different for you if you have a different configuration and OS, but the overall process/idea should be universal.

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#!/bin/bash

#################
### VARIABLES ###
#################
NODE_VERSION="v18"
NPM_PACKAGES="yarn gulp standard"

BREW_ESSENTIALS="zsh zsh-autosuggestions zsh-syntax-highlighting vlc firefox brave-browser virtualbox virtualbox-extension-pack jq tmux nmap git pyenv"
BREW_DEV_TOOLS="tfenv vagrant packer ansible docker vagrant-manager rbenv ruby-build terraform-docs graphviz jq ffmpeg"

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version: '3.1'

services:
  odoo:
    image: odoo:17.0
    command: odoo --dev all
    depends_on:
      - db
    ports:
      - "8069:8069"

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# Scan for nearby Bluetooth LE devices and their services
# @credits: https://medium.com/@protobioengineering/how-to-make-a-detailed-bluetooth-le-scanner-with-a-macbook-and-python-8e2c7dccfd39
# @install: pip install bleak

import asyncio
from bleak import BleakClient, BleakScanner

async def main():
    devices = await BleakScanner.discover()
    for device in devices:

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// ==UserScript==
// @name         Scroll Meetup Messages
// @namespace    https://meetup.net/
// @version      0.2
// @description  Script to scroll to the last message in your Inbox, and last member on a Meetup Group
// @author       Alex B
// @match        https://secure.meetup.com/messages/*
// @match        https://www.meetup.com/*/members/
// @grant        none
// @require      http://code.jquery.com/jquery-latest.js

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const AWS = require('aws-sdk')

const IS_OFFLINE = process.env.NODE_ENV !== 'production'

let options = {}

// connect to local DB if running offline
if (IS_OFFLINE) {
  const DYNAMO_ENDPOINT = process.env.DYNAMO_ENDPOINT
  options = {

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* alicloud_ess_alarm.alarm_up: CreateAlarm got an error: &errors.ServerError{httpStatus:400, requestId:"xxxx-xxxx", 
hostId:"ess.eu-central-1.aliyuncs.com", errorCode:"InvalidParameter", recommend:"",
message:"The specified value of parameter \"MetricName\" is not valid.", comment:""}.

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If you get the following error when running wp command

Fatal error: Allowed memory size of 67108864 bytes exhausted (tried to allocate 12288 bytes) in ....

You can overcome that the following way

php -d memory_limit=256M /usr/bin/wp

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Intro

Chef High Availability: Backend Cluster and its not so common problems list.

Notes:

• In my case, Chef HA setup is entirely on AWS but this can be translated to other vendors too
• chef-backend-ctl commands are for backend nodes
• chef-server-ctl commands are for frontend nodes

Index

• Nodes hostname