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Running Multiple Independent Kimai Instances with Docker

This guide explains how to run multiple productive Kimai instances using Docker. In this example, files are created in /opt/kimai-mydomain. The folder name is not critical, but using descriptive names helps distinguish different instances.

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#include <WiFi.h>
#include <HTTPClient.h>
#include <time.h>
#include <esp_sleep.h>

const char* ssid         = "your_ssid";
const char* password     = "your_password";
const char* influx_url   = "http://192.168.1.100:8086/api/v2/write?org=myorg&bucket=mybucket&precision=s";
const char* influx_token = "your_token";

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#include <Arduino.h>

void setup() {
  // Initialize serial communication
  Serial.begin(115200);
  
  // Wait for serial to be ready
  while (!Serial) {
    delay(10);
  }

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#!/usr/bin/env python3
"""
(Copyleft) 2025 Jonathan D. Kelley

ROM Organizer Tool
==================

This script organizes ROM files into structured directories based on region 
and alphabetical ranges. It supports recursive scanning, dry-run mode, 
and automatic directory cleanup.

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kubectl apply -f flink-configuration-configmap.yaml
kubectl apply -f jobmanager-svc.yaml
kubectl apply -f jobmanager-session-deployment.yaml -f task-manager-session-deployment.yaml

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awk 'function hextodec(str,ret,n,i,k,c){
    ret = 0
    n = length(str)
    for (i = 1; i <= n; i++) {
        c = tolower(substr(str, i, 1))
        k = index("123456789abcdef", c)
        ret = ret * 16 + k
    }
    return ret
}

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# 1) Deploy the pod
# 
# kubectl create -f busybox-non-root.yaml
# 
# 2) Access the shell
#
# kubectl exec -ti busybox-1000 -- sh
#
# 3) from the shell run:
# 

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from time import sleep
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from tornado.web import Application, asynchronous, RequestHandler
from multiprocessing.pool import ThreadPool

_workers = ThreadPool(10)

def run_background(func, callback, args=(), kwds={}):
    def _callback(result):

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gunicorn run:app --workers=9
gunicorn run:app --workers=9 --worker-class=meinheld.gmeinheld.MeinheldWorker

Macbook Pro 2015 Python 3.7

Framework	Server	Req/s	Max latency	+/- Stdev

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# pip3 install cachepy
# https://github.com/scidam/cachepy

import time # used to simulate heavy CPU penalty

from cachepy import FileCache
from os.path import expanduser
from os import environ
import warnings