vfarcic

# Source: https://gist.github.com/2f6ef41745fad5bf0d7c023c1261d77c

###########################################################################
# How To Shift Left Infrastructure Management Using Crossplane Composites #
# https://youtu.be/AtbS1u2j7po                                            #
###########################################################################

# Referenced videos:
# - Crossplane - GitOps-based Infrastructure as Code through Kubernetes API: https://youtu.be/n8KjVmuHm7A
# - How to apply GitOps to everything - combining Argo CD and Crossplane: https://youtu.be/yrj4lmScKHQ

Windsooon

海外兔

bojand

Just documenting docs, articles, and discussion related to gRPC and load balancing.

https://github.com/grpc/grpc/blob/master/doc/load-balancing.md

Seems gRPC prefers thin client-side load balancing where a client gets a list of connected clients and a load balancing policy from a "load balancer" and then performs client-side load balancing based on the information. However, this could be useful for traditional load banaling approaches in clound deployments.

https://groups.google.com/forum/#!topic/grpc-io/8s7UHY_Q1po

gRPC "works" in AWS. That is, you can run gRPC services on EC2 nodes and have them connect to other nodes, and everything is fine. If you are using AWS for easy access to hardware then all is fine. What doesn't work is ELB (aka CLB), and ALBs. Neither of these support HTTP/2 (h2c) in a way that gRPC needs.

poeticninja

#!/usr/bin/env bash

image_archive="image-archive.tar"
image_metadata="docker-image-metadata.tar.gz"

function cache_images() {
  images_to_cache=$(docker images | awk '{print $3}' | grep -v '<none>' | tail -n +2 | while read line; do docker history -q $line | grep -v '<missing>'; done | uniq)

  if [ -n "$images_to_cache" ]; then
    printf "Saving the following images:\n$images_to_cache\n\n"

wys1203

from __future__ import absolute_import, division, print_function, unicode_literals

from multiprocessing.dummy import Pool as ThreadPool
from multiprocessing import Lock
from threading import get_ident


class SingletonType(type):
    def __new__(mcs, name, bases, attrs):
        # Assume the target class is created (i.e. this method to be called) in the main thread.

chy168

#user  nobody;
worker_processes  1;

#error_log  logs/error.log;
#error_log  logs/error.log  notice;
#error_log  logs/error.log  info;
error_log  /tmp/nginx_debug_error.log  debug;

#pid        logs/nginx.pid;

pablitoc

##Install AWS CLI Tools##

1. Install AWS CLI Tools. You can also use the EC2 API Tool if you are more comfortable with them. But this write-up uses the EC2 CLI.
2. Create a user via Amazon IAM or download the security accessID and securitykey you will need it to query Amazon CLI.
3. using Terminal cd into .aws directory cd ~/.aws edit or create new file named config paste the following contents inside.
   `[default]`
   `aws_access_key_id = ACCESS_ID`
   `aws_secret_access_key = SECRET_ID`
   `output = json OR bson OR text`
   `region = PREFERRED_AWS_REGION`

Save the file as "config"

pjkelly

require 'dotenv'
Dotenv.load

listen ENV.fetch('UNICORN_PORT', 5000), :backlog => ENV.fetch('UNICORN_BACKLOG', 200).to_i
worker_processes ENV.fetch('UNICORN_CONCURRENCY', 3).to_i
timeout ENV.fetch('UNICORN_TIMEOUT', 15).to_i
preload_app true

if ENV.include?('UNICORN_LOG')
  stderr_path ENV.fetch('UNICORN_LOG')

dferg

Introduction

This howto describes installing entware for the Tomato open-source router firmware.

Requirements

• USB stick - 1G or more in size
• USB-capable router running TomatoUSB.

This Howto Was Tested With

denji

Moved to git-repository: https://github.com/denji/awesome-http-benchmark

Tools

Located in alphabetical order (not prefer)

• ab – slow and single threaded, written in C
• apib – most of the features of ApacheBench (ab), also designed as a more modern replacement, written in C
• autocannon – fast HTTP/1.1 benchmarking tool written in Node.js
• baloo – Expressive end-to-end HTTP API testing made easy, written in Go (golang)