faermanj

Video: https://www.twitch.tv/videos/177667117

PERF 1. How do you select the best performing architecture?

"In God we trust, all others bring data" W. Edwards Deming

Performance 👎

• Latency
• Throughput
• Latency ⍺ Concurrent Users

faermanj

'use strict';
const data = require('./data');

const response = (statusCode, url) => {
    return {
        statusCode: statusCode,
        headers: {
            'Access-Control-Allow-Origin': '*',
            'Access-Control-Allow-Credentials': true,
            'Location': `${url}`

faermanj

const urls = {
  "":"",
  "sec-job0": "https://www.youtube.com/watch?v=T7MnJOfOVcY",
  "sec-overview": "https://d0.awsstatic.com/whitepapers/aws-security-whitepaper.pdf",
  "aws-tue": "https://www.youtube.com/watch?v=AyOAjFNPAbA",
  "gist":"https://gist.github.com/jfaerman/546902c79d21e53c3a724d00a30566f2"
}

function lookup(path) {
  var url = urls[path]

faermanj

Event info: https://www.meetup.com/Barcelona-Amazon-Web-Services-Meetup/events/241356452/

This gist: https://gist.github.com/jfaerman/5ef93929bca38f2eaacc8d255fb504b6

Me: Julio Faerman - https://twitter.com/jmfaerman

Live Stream: https://www.twitch.tv/jmfaerman

Today goals:

• Start an application from scratch

faermanj

Application Delivery (S3 & CloudFront)

Serverless API (Lambda & API Gateway)

User Pools & Authentication (Cognito)

NoSQL Databases (DynamoDB, ElastiCache & DAX)

SQL (RDS, Redshift, Athena)

Real-time streams (Kinesis Streams & Analytics)

Machine Learning (Machine Learning, Rekognition, Polly & Lex)

faermanj

Data Set Providers

• https://aws.amazon.com/public-datasets/
• https://www.kaggle.com/
• https://data.world/
• http://archive.ics.uci.edu/ml/datasets.html

More examples

https://github.com/awslabs/machine-learning-samples

faermanj

Today´s episode notes:

faermanj

The decision between SQL and NoSQL databases can be challenging in new projects with great expectations. Choosing the comfort of SQL, one risks not reaching the proper abstraction or scale. Daring a new NoSQL database, developers usually face the learning curve of new abstractions, APIs, query languages and system operations. In this broadcast we will add and scale an SQL database, consider their usage tradeoffs and related services.

DAX

Athena

http://blog.julien.org/2017/03/exploring-gdelt-data-set-with-amazon.html

https://github.com/juliensimon/aws/tree/master/athena/gdelt

faermanj

In this broadcast we continue to develop the “cornerstone” of our serverless application. We already addressed content delivery, API invocation and authentication. The next step is storing structured data with DynamoDB and complete our template of a typical application transaction. After this episode, we will have all the components required to build our first features and improve our application towards more complex scenarios.

#	Introducing DynamoDB
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ProvisionedThroughput.html

#	Creating tables and indexes

#	Storing and deleting items

#	Querying and Scanning tables

faermanj

Este documento: http://bit.ly/awsnosqlba

Julio Faerman - http://twitter.com/jmfaerman

1. Crie uma conta no qwiklabs https://amazon.qwiklabs.com

2. Registre-se para acesso aos labs com o mesmo email do qwiklabs https://goo.gl/forms/T6D436ZEqGimPDSn2