JofArnold

/**
 *Submitted for verification at Etherscan.io on 2021-04-22
*/

// File: @openzeppelin/contracts/utils/Context.sol

// SPDX-License-Identifier: MIT

pragma solidity >=0.6.0 <0.8.0;

grigorkh

Aspect or Feature	kubernetes/ingress-nginx	nginxinc/kubernetes-ingress with NGINX	nginxinc/kubernetes-ingress with NGINX Plus
Fundamental
Authors	Kubernetes community	NGINX Inc and community	NGINX Inc and community
NGINX version	Custom NGINX build that includes several third-party modules	NGINX official mainline build	NGINX Plus
Commercial support	N/A	N/A	Included
Implemented in	Go/Lua (while Nginx is written in C)	Go/Python	Go/Python
Load balancing configuration via the Ingress resource

max-rocket-internet

CPU: percentage of limit

A lot of people land when trying to find out how to calculate CPU usage metric correctly in prometheus, myself included! So I'll post what I eventually ended up using as I think it's still a little difficult trying to tie together all the snippets of info here and elsewhere.

This is specific to k8s and containers that have CPU limits set.

To show CPU usage as a percentage of the limit given to the container, this is the Prometheus query we used to create nice graphs in Grafana:

sum(rate(container_cpu_usage_seconds_total{name!~".*prometheus.*", image!="", container_name!="POD"}[5m])) by (pod_name, container_name) /

anilpai

from typing import Tuple, List
from math import log

rates = [
    [1, 0.23, 0.25, 16.43, 18.21, 4.94],
    [4.34, 1, 1.11, 71.40, 79.09, 21.44],
    [3.93, 0.90, 1, 64.52, 71.48, 19.37],
    [0.061, 0.014, 0.015, 1, 1.11, 0.30],
    [0.055, 0.013, 0.014, 0.90, 1, 0.27],

johngrimes

server {
  listen 80;
  root /usr/share/nginx/html;
  gzip on;
  gzip_types text/css application/javascript application/json image/svg+xml;
  gzip_comp_level 9;
  etag on;
  location / {
    try_files $uri $uri/ /index.html;
  }

anvk

--- PSQL queries which also duplicated from https://github.com/anvk/AwesomePSQLList/blob/master/README.md
--- some of them taken from https://www.slideshare.net/alexeylesovsky/deep-dive-into-postgresql-statistics-54594192

-- I'm not an expert in PSQL. Just a developer who is trying to accumulate useful stat queries which could potentially explain problems in your Postgres DB.

------------
-- Basics --
------------

-- Get indexes of tables

harlow

Golang Workers / Job Queue

A running example of the code from:

• http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang
• http://nesv.github.io/golang/2014/02/25/worker-queues-in-go.html

This gist creates a working example from blog post, and a alternate example using simple worker pool.

TLDR: if you want simple and controlled concurrency use a worker pool.

CMCDragonkai

HTTP Streaming (or Chunked vs Store & Forward)

The standard way of understanding the HTTP protocol is via the request reply pattern. Each HTTP transaction consists of a finitely bounded HTTP request and a finitely bounded HTTP response.

However it's also possible for both parts of an HTTP 1.1 transaction to stream their possibly infinitely bounded data. The advantages is that the sender can send data that is beyond the sender's memory limit, and the receiver can act on

amochohan

#Laravel 5 Simple ACL manager

Protect your routes with user roles. Simply add a 'role_id' to the User model, install the roles table and seed if you need some example roles to get going.

If the user has a 'Root' role, then they can perform any actions.

Installation

Simply copy the files across into the appropriate directories, and register the middleware in App\Http\Kernel.php

LeCoupa

#!/bin/bash
#####################################################
# Name: Bash CheatSheet for Mac OSX
# 
# A little overlook of the Bash basics
#
# Usage:
#
# Author: J. Le Coupanec
# Date: 2014/11/04