mosquito

Docker compose as a systemd unit

Create file /etc/systemd/system/[email protected]. SystemD calling binaries using an absolute path. In my case is prefixed by /usr/local/bin, you should use paths specific for your environment.

[Unit]
Description=%i service with docker compose
PartOf=docker.service
After=docker.service

artizirk

NB: This document describles a 'Old-School' way of using Yubikey with SSH

Modern OpenSSH has native support for FIDO Authentication. Its much simpler and should also be more stable with less moving parts. OpenSSH also now has support for signing arbitary files witch can be used as replacement of gnupg. Git also supports signing commits/tags with ssh keys.

Pros of FIDO

• Simpler stack / less moving parts
• Works directly with ssh, ssh-add and ssh-keygen on most computers
• Simpler
• Private key can never leave the FIDO device

Cons of FIDO

gibtang

class cars:
    def __init__(self, name, price):  
        self.name = name
        self.price = price 

unsorted_cars = []
unsorted_cars.append(cars('Ford', 20000))
unsorted_cars.append(cars('Volvo', 50000))
unsorted_cars.append(cars('BMW', 24000)) 

m-radzikowski

#!/usr/bin/env bash

set -Eeuo pipefail
trap cleanup SIGINT SIGTERM ERR EXIT

script_dir=$(cd "$(dirname "${BASH_SOURCE[0]}")" &>/dev/null && pwd -P)

usage() {
  cat <<EOF
Usage: $(basename "${BASH_SOURCE[0]}") [-h] [-v] [-f] -p param_value arg1 [arg2...]

clarkmcc

#!/bin/sh
for namespace in $(kubectl get ns | awk '{print $1}' | grep -v NAME); do
    for pod in $(kubectl get pod -n $namespace --field-selector=status.phase!=Running | grep Shutdown | awk '{print $1}' | grep -v NAME); do
      kubectl delete pod -n "$namespace" "$pod"
    done
done

REDVM

import requests
import os
from collections import defaultdict

# I have photos in subfolders like : 
# /mnt/media/Photos/2023-08 Holidays
# /mnt/media/Photos/2023-06 Birthday
# /mnt/media/Photos/2022-12 Christmas
# This script will create 3 albums
# 2023-08 Holidays, 2023-06 Birthday, 2022-12 Christmas

Cozy228

Workflow Management Tools: A Comprehensive Comparison

Workflow management tools are critical for automating and orchestrating tasks across data pipelines, machine learning (ML) workflows, and general business processes. This guide compares nine popular open-source tools—Airflow, n8n, Activepieces, Argo Workflow, Dagu, Flyte, Inngest, Kestra, and Prefect—highlighting their use cases, ease of use, scalability, and more, all formatted in Markdown for easy navigation.

Overview of Tools

Each tool serves distinct needs, from data orchestration to no-code automation. Below is a breakdown to help you choose the right one.

Use Cases and Suitability