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package istio

import (
	"time"

	"github.com/micro/go-micro"
	"github.com/micro/go-micro/client"
	"github.com/micro/go-micro/selector"

	gcli "github.com/micro/go-plugins/client/grpc"

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$ yarn
$ # or npm install
$ node dump.js
$ # from another tab
$ envoy -c envoy.yaml
$ # from another tab
$ curl localhost:10000

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How to setup Let's Encrypt for Nginx on Ubuntu 16.04 (including IPv6, HTTP/2 and A+ SLL rating)

There are two main modes to run the Let's Encrypt client (called Certbot):

• Standalone: replaces the webserver to respond to ACME challenges
• Webroot: needs your webserver to serve challenges from a known folder.

Webroot is better because it doesn't need to replace Nginx (to bind to port 80).

In the following, we're setting up mydomain.com. HTML is served from /var/www/mydomain, and challenges are served from /var/www/letsencrypt.

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a.myhost.com {
  tls off
  root /var/www/
  proxy / localhost:8091
  log log/access.a.log
}

b.myhost.com {
  tls off
  root /var/www/

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Benchmarking Nginx with Go

There are a lot of ways to serve a Go HTTP application. The best choices depend on each use case. Currently nginx looks to be the standard web server for every new project even though there are other great web servers as well. However, how much is the overhead of serving a Go application behind an nginx server? Do we need some nginx features (vhosts, load balancing, cache, etc) or can you serve directly from Go? If you need nginx, what is the fastest connection mechanism? This are the kind of questions I'm intended to answer here. The purpose of this benchmark is not to tell that Go is faster or slower than nginx. That would be stupid.

So, these are the different settings we are going to compare:

• Go HTTP standalone (as the control group)
• Nginx proxy to Go HTTP
• Nginx fastcgi to Go TCP FastCGI
• Nginx fastcgi to Go Unix Socket FastCGI

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package main

import (
	"fmt"
	"github.com/codegangsta/negroni"
	"github.com/gorilla/mux"
	"log"
	"net/http"
)

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package main

import (
	"fmt"
	"net/http"
	"reflect"
	"strconv"

	"github.com/jinzhu/gorm"
	"github.com/labstack/echo"

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docker-machine create \
  --driver=digitalocean \
  --digitalocean-access-token=$DO_TOKEN \
  --digitalocean-size=512mb \
  --digitalocean-region=nyc3 \
  --digitalocean-private-networking=true \
  --digitalocean-image=ubuntu-15-04-x64 \
    docker-swarm-kv-store

docker $(docker-machine config docker-swarm-kv-store) run -d \

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Introduction to Kafka

Kafka acts as a kind of write-ahead log (WAL) that records messages to a persistent store (disk) and allows subscribers to read and apply these changes to their own stores in a system appropriate time-frame.

Terminology:

• Producers send messages to brokers
• Consumers read messages from brokers
• Messages are sent to a topic

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/*
 * Selenium WebDriver JavaScript test with Mocha and NodeJS
 * 
 * Start with: SELENIUM=PATH_TO_SELENIUM_JAR/selenium-server-standalone-2.31.0.jar mocha -t 10000 -R list google-sample.js
 * 
 * Download selenium-server-standalone-2.31.0.jar from https://selenium.googlecode.com/files/selenium-server-standalone-2.31.0.jar
 * 'sudo su' and 'npm install -g colors mocha selenium-webdriver'
 * 
 * http://visionmedia.github.io/mocha/
 * https://code.google.com/p/selenium/wiki/WebDriverJs