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@DrPsychick
DrPsychick / telegraf.conf
Created August 28, 2020 17:06
Telegraf Windows Performance Counters configuration
# Windows Performance Counters plugin.
# These are the recommended method of monitoring system metrics on windows,
# as the regular system plugins (inputs.cpu, inputs.mem, etc.) rely on WMI,
# which utilize more system resources.
#
# See more configuration examples at:
# https://github.com/influxdata/telegraf/tree/master/plugins/inputs/win_perf_counters
# If metrics are missing run `lodctr /r` as Administrator
[[inputs.win_perf_counters]]
@miguelgrinberg
miguelgrinberg / rest-server.py
Last active March 29, 2024 09:05
The code from my article on building RESTful web services with Python and the Flask microframework. See the article here: http://blog.miguelgrinberg.com/post/designing-a-restful-api-with-python-and-flask
#!flask/bin/python
from flask import Flask, jsonify, abort, request, make_response, url_for
from flask_httpauth import HTTPBasicAuth
app = Flask(__name__, static_url_path = "")
auth = HTTPBasicAuth()
@auth.get_password
def get_password(username):
if username == 'miguel':
@NorthIsUp
NorthIsUp / spawn.py
Created July 5, 2012 12:46
gevent spawn helpers
"""
realertime.lib.spawn
~~~~~~~~~~~~~~~~~~~~
:author: Adam Hitchcock
:copyright: (c) 2012 DISQUS.
:license: Apache License 2.0, see LICENSE for more details.
"""
from __future__ import absolute_import
@marktheunissen
marktheunissen / pedantically_commented_playbook.yml
Last active June 5, 2024 22:16 — forked from phred/pedantically_commented_playbook.yml
Insanely complete Ansible playbook, showing off all the options
This playbook has been removed as it is now very outdated.
@martinsik
martinsik / chat-frontend.js
Last active December 19, 2023 10:23
Node.js chat frontend and server
$(function () {
"use strict";
// for better performance - to avoid searching in DOM
var content = $('#content');
var input = $('#input');
var status = $('#status');
// my color assigned by the server
var myColor = false;
@mikeyk
mikeyk / gist:1329319
Created October 31, 2011 22:56
Testing storage of millions of keys in Redis
#! /usr/bin/env python
import redis
import random
import pylibmc
import sys
r = redis.Redis(host = 'localhost', port = 6389)
mc = pylibmc.Client(['localhost:11222'])