docker nodejs

Posted on Actualizado enn

/////running nodejs like service////

sudo npm install forever -g
sudo ln -s "$(which nodejs)" /usr/local/bin/node

forever start server.js

forever stop server.js


graph android


  • install docker
  • verify installation
    • $ sudo docker version
  • First container
    • $ sudo docker run hello-world
  • list containers
    • $ sudo docker ps -a
    • [containderid / ports / image / name / command / created / status]
  • Docker hub
  • Dockerfile
    • FROM node:6.9.4
      EXPOSE 8080
      WORKDIR /app
      RUN npm install nodemon -g
      COPY package.json /app/package.json
      RUN npm install
      COPY server.js /app
      CMD [“nodejs”, “/app/server.js”]
      #sudo docker build -t minode/node-web-app .
    • minode is your username in
    • $ cd <your project directory>
      $ sudo docker build -t minode/node-web-app .
      #          ^    ^                     ^
      #        build  w/ tag            this directory
      # ... lots of output
  • Docker images
    • $ sudo docker images
    • $ sudo docker run -p 3000:8080 -d minode/node-web-app
    • [$ sudo docker run -it –rm –name myrunningapp minode/node-web-app 3000:8080]–rm remove container when exist
    • $ sudo docker ps
$ docker run -p 4500:4500 minode/node-web-app
#               ^^^^^^^^^
#          bind the exposed container port to host port (on the virtual machine)
  • Docker stop / start
    • $ sudo docker stop <CONTAINER ID>
    • $ sudo docker start <DOCKER NAME> –you can see that with sudo docker ps
  • deleting container, drop all info
    • $ sudo docker rm <drupal1>
  • publish
    • $sudo docker build -t “your_user_name/myapp” .
    • $ docker push <your_user_name/myapp>  / minode/node-web-app



sudo docke



$sudo docker run –name mynode -t -i node

Easy and simple hello world nodejs / express + pug

Posted on Actualizado enn

hello nodejs

file: server.js
var express=require('express')
var PORT=8080;

var app = express();
app.get('/', function(req,res){
res.send('hi mother');

console.log('running on local '+PORT);


file: package.json

"name": "hello",
"version": "1.0.0",
"main": "server.js",

"author": "hemc",
"description": "desc",
"dependencies": {

$npm install express
nodejs server.js
that’s it

open localhost:8080 or your ip:8080

//////////////////setting pug////////////////


"name": "restful-auth",
"main": "server.js",
"dependencies": {
"body-parser": "^1.9.3",
"express": "^4.9.8",
"jsonwebtoken": "^7.3.0",
"jwt-simple": "^0.3.1",
"mongoose": "^4.2.10",
"morgan": "^1.5.3",
"passport": "^0.3.0",
"passport-jwt": "^1.2.1",
"request": "^2.81.0",
"pug": "^2.0.0-beta.12",
"yelp": "^1.0.2"


var express 	= require('express');
var app         = express();
var port = process.env.PORT || 8080; // used to create, sign, and verify tokens
app.set('view engine','pug');

res.render('template',{title:"Registro",message:"Página ejemplo de registro",id:"signin"});
res.render('template',{title:"Recupera contraseña",message:"Página ejemplo de recuperación contraseña",id:"recoverypass"});
console.log('Magic happens at http://localhost:' + port);


doctype html
    title= Bienvenido
    h1= message
            li Por favor realice los pasos indicados
    label(for="ourname") Usuario
        label(for="ourname") Contraseña


aws iot

Posted on Actualizado enn

1.[on the left] registry / things / [TempSensorThing]

A thing Amazon Resource Name uniquely identifies this thing.



This thing already appears to be connected.[click on] connect a device, in this case we are going to select linux and nodejs

Next, get started, and download the connection kit, that will give you the private key and the certificate (TempSensor.public.key / TempSensor.private.key / TempSensor.cert.pem)


Add a rule [AddLectureThing]

SELECT sensorID, temperatura FROM ‘MyTopic’, these fields match the dynamodb fields on the last example [sensorID,temparatura], MyTopic will be used in the JS

device.publish(‘MyTopic’, JSON.stringify({sensorID: ”+Math.random(), temperatura: ”+Math.random()}));

Finally add the lambda function with previous lambda function created, in this case RegisterLecture


Now creating a Rule that send an email when temperature is bigger than X, in this case 45

First create another Rule as follow


in configuration action /  create new resource

Create new topic


validate by email



var iot = require('aws-iot-device-sdk');
var __dirname="certs";

var device = iot.device({
    keyPath: __dirname + '/TempSensorThing.private.key',
    certPath: __dirname + '/TempSensorThing.cert.pem',
    caPath: __dirname + '/root-CA.crt',
    clientID: 'Prueba',
    region: 'us-west-2'

  .on('connect', function() {
    device.publish('TempSensorThing', JSON.stringify({sensorID: '004', temperatura: '70'}));

  .on('message', function(topic, payload) {
    console.log('message', topic, payload.toString());

device.on('connect', function() {

device.on('close', function() {

device.on('reconnect', function() {

device.on('offline', function() {

device.on('message',function(topic,payload) {

var myVar = setInterval(myTimer, 5*1000);//cada 5 seg para prueba
//var myVar = setInterval(myTimer, 5*1000*60);//cada 5 min para prod

function myTimer() {
    var d = new Date();
    console.log('Enviando info '+d.toLocaleTimeString());
    var max=10000;var min=1;
    device.publish('MyTopic', JSON.stringify({sensorID: ''+Math.floor(Math.random() * (max - min + 1)) + min, temperatura: ''+Math.random() * (50 - 0) + 0}));
setInterval(callbackFunction(), interval);

    var d = new Date();
    var max=10000;var min=1;
    var temp=Math.random() * (50 - 0) + 0;
    //device.publish('MyTopic', JSON.stringify({sensorID: ''+Math.floor(Math.random() * (max - min + 1)) + min, temperatura: ''+temp}));
    device.publish('MyTopicEmail', JSON.stringify({sensorID: ''+Math.floor(Math.random() * (max - min + 1)) + min, temperatura: ''+temp}));
    console.log('Enviando info '+temp+' / '+d.toLocaleTimeString());
}, 5*1000);


    "name": "IoTNodeJS",
    "version": "1.0.0",
    "keywords": ["util", "functional", "server", "client", "browser"],
    "author": "Hugo de la Mora",
    "contributors": [],
    "dependencies": {
        "aws-iot-device-sdk": "*"

aws lambda microservice, serverless

Posted on Actualizado enn

lambda allows us to execute  C#, NodeJS, Java8 o Python 2.7, without configure a server or virtual machine.

We are going to create a java class to be executed inside Lambda and we are going to insert a row in dynamodb.

Create a table in dynamodb, BitacoraLectura, primary key SensorID (string).

We create our jar to insert sensorid and temperature, we need to add the lib folder to our jar, then we need to upload it to S3

The lambda function has to be created as follow:

Blueprint: Blank Function
Triggers: none
Name: RegisterLecture
Description: RegisterLecture
RunTime: Java 8
Code entry type: Amazon S3
S3 Link: the ones that correspond
Handler: the ones that correspond package.class
Role: Create a new role from template(s)
Role Name: LambdaAddLecture
Policy templates: empty

Go to roles to modify the one created / services, iam, roles section, select “AmazonDynamoDBFullAccess”

Then click on the test button and send a json like this
“sensorId”: “temp001”,
“temp”: “28.30”

package lambdaaws;

import com.amazonaws.regions.Regions;
import java.util.HashMap;
import java.util.Map;

public class LambdaAWS implements RequestHandler<RequestClass, String> {

    public String handleRequest(RequestClass i, Context cntxt) {
        cntxt.getLogger().log(("Entrada: "+i.sensorID+" "+ i.temperatura + "\n"));

        AmazonDynamoDB db = AmazonDynamoDBClientBuilder.standard().withRegion(Regions.US_WEST_2).build();
        String tableName = "BitacoraLectura";
        Map<String, AttributeValue> item = new HashMap<>();
        item.put("sensorID", new AttributeValue(i.sensorID));
        item.put("temperatura", new AttributeValue(i.temperatura));
        db.putItem(tableName, item);
        return "Agregado: "+i.sensorID+" "+i.temperatura;



package lambdaaws;

public class RequestClass {
    String sensorID;
    String temperatura;

    public RequestClass() {

    public String getSensorID() {
        return sensorID;

    public void setSensorID(String sensorID) {
        this.sensorID = sensorID;

    public String getTemperatura() {
        return temperatura;

    public void setTemperatura(String temperatura) {
        this.temperatura = temperatura;



aws api gateway

Posted on Actualizado enn

    1. Go to services and select api gateway under aplication services
    2. Create api, new api: Lectures, create
    3. Actions create resource: TempSensor, create resource
    4. Actions create method: post, then we integrate with a lambda function (see another post to create lambda function).
    5. You will get something like:
      You are about to give API Gateway permission to invoke your Lambda function:
    6. Click the test button (ligthening)
    7. in Request body, put the post in this case
    8. {
      “sensorID”: “temp001”,
      “temperatura”: “28.30”

Request:/tempsensor Status: 200

Latency: 161 ms

Response Body

Agregado: temp001 28.30

9.Actions, deploy api, pick up [new], stagename:betahm, stage desc: blank, deployment desc: blank
10. After that we can use postman or RESTconsole to test Invoke URL, clicking the post/get method in left panel:

In case anyone else lands here with the same problem, here is what was going on: at the end of the tutorial, I clicked “Deploy API” in order to deploy the test call I had set up. This takes you to the “Stage Editor” for the given API stage. At the top of the editor page is an “Invoke URL”, which does not include the resource at the end of it. Clicking on the Invoke URL link brings up an authentication error response.

On the Stage Editor page, there is a left nav with the stage name. If you expand this you get a forward-slash; if you expand this, you get your resource. If you expand your resource you get your method, and if you click on the method you get an “Invoke URL” link (which is the same as the above but with the resource appended). This invoke URL link works, invoking the GET method and returning results.

Somewhat hidden, in my opinion, but once you know where to look for it it all makes sense.


aws map reduce

Posted on

Fase 4 – Ejecutar nuestro driver en Amazon EMR
Esta fase tiene un costo dentro de AMAZON dado que EMR no está incluido en la capa gratuita
de Amazon.
Dentro de Amazon S3 crearemos un nuevo bucket y dentro de este crearemos 3 carpetas:
 jar
o Dentro de esta carpeta debemos de colocar el JAR de nuestro driver.
 input
o Dentro de esta carpeta debemos de colocar el archivo de entrada a utilizar, en
este caso el libro de Alicia en el País de las Maravillas.
 logs
Ingresaremos a la Consola de AWS y seleccionaremos el servicio de EMR donde crearemos un
nuevo cluster con las siguientes características:
 Daremos click en: “Go to advanced options”
 Seleccionamos Vendor = Amazon
 Release: emr-5.3.1

 Solo seleccionamos Hadoop como software.
 Damos click en Next
 En la siguiente pantalla seleccionamos que el hardware que queremos es:
o 1 nodo Master
 m3.xlarge
 Request Spot
 Bid Price: poner el precio que actualmente está vigente.
o 1 nodo Core
 m3.xlarge
 Request Spot
 Bid Price: poner el precio que actualmente está vigente.
o 0 Nodos Task


 Damos click en Next
 Completamos la pantalla:
o Cluster Name: Mi cluster
o Seleccionamos Logging
 Seleccionamos nuestra carpeta de logs en S3
 Damos click en Next.
 Seleccionamos nuestra llave de acceso por SSH de Linux
 Damos click en: Create cluster
Daremos click en Cluster List y daremos click en la pequeña flecha que se encuentra a la
izquierda de nuestro cluster.

En esta pantalla daremos click en Add Step y completaremos la pantalla que nos aparece de
la siguiente forma:
Step type: Custom Jar
Name: Word Counter
Jar location: Seleccionaremos nuestro archivo JAR dando click en el pequeño folder.
Arguments: Pondremos la URI en S3 tanto de nuestra entrada como de la salida


Damos click en Add y esperamos que la tarea se ejecute nuestro cluster.
Una vez que termine la tarea de ejecutarse revisemos la tarea, sus logs y su salida.