javacro'14 - how to handle large amounts of data in real time using a cloud environment –...

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Kako obraditi velike količine podataka u realnom vremenu koristeći Cloud okruženje Ivica Čardić Senior Software Engineer, Liferay Inc.

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DESCRIPTION

The aim of this presentation is to present the architecture of the distributed platform, which was created for the purpose of Liferay Cloud Services project of Liferay Inc, the company behind the very popular web portal. Liferay Cloud Services is a set of services that existing customers of the portal should allow easier management of their portal instances, monitoring and installation of patches. For this purpose own platform has been built that runs on Amazon’s Cloud infrastructure (Amazon AWS). Platform must be able to process large amounts of data in real time. The platform itself uses several technologies used together such as Liferay Portal, Apache Cassandra – NoSQL database, Akka – library for building concurrent applications and Amazon SQS – a distributed queue.

TRANSCRIPT

Page 1: JavaCro'14 - How to handle large amounts of data in real time using a cloud environment – Ivica Čardić and Igor Bešlić

Kako obraditi velike količine podataka u realnom vremenu koristeći Cloud okruženjekoristeći Cloud okruženje

Ivica Čardić Senior Software Engineer, Liferay Inc.

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Sadržaj

● Trendovi● Liferay Cloud Services sustav● Arhitektura sustava● Budući planovi● Budući planovi

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Trendovi

Map Reduce

Big Data

Cloud Computing

Apache Cassandra

Apache Hadoop

Big Data

Real-time processing

Amazon Web Services

RedisNo SQL

Auto Scaling

Distributed Systems

MongoDB

OpenStack

RackSpace

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Liferay Cloud Services (LCS)

● Poslovni zahtjevio Upravljanje portalima

� Hijerarhijska organizacija� Osnovne informacije o registrianim portalima � Osnovne informacije o registrianim portalima � Automatsko otkrivanje portala u cluster-u

o Download zakrpi(FixPacks)o Metrika portala(JVM, Server, Aplikacija)

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Liferay Cloud Services (LCS)

● Tehnički zahtjevio SAAS aplikacija

o Tisuće servera spojenih istovremeno

Prikupljanje velikih količina podatakao Prikupljanje velikih količina podataka

o Skalabilan sustav

� Modularnost

� Komunikacija REST servisima

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Arhitektura sustava

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Amazon Web Services● Resursi

o Amazon EC2, Auto Scaling, Elastic Load Balancing● Skladištenje

o Amazon S3, Amazon EBS● Baze podataka● Baze podataka

o Amazon RDS(MySQL), Amazon ElastiCache(Redis)● Procesiranje

o Amazon EMR(Apache Hadoop)● Aplikacijski servisi

o Amazon SNS, Amazon SQS● Deployment & Management

o Amazon CloudWatch

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Amazon EC2 Konzola

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Amazon Auto Scaling

● Dinamički pokreće i zaustavlja EC2 instanceo Amazon CloudWatch servis ili o Planirani vremenski periodi

● Zamjenjuje nezdrave ili nedostupne instance● Zamjenjuje nezdrave ili nedostupne instance● Obavještava korisnike o promjenama

o Amazon SNS servis

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Netflix Asgard

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LCS Klijent

● Portleto Sučelje za registracijuo Niti za komunikaciju

● Registracija portalaLCS Portlet

Customer Portal

● Registracija portalao otkriva portale u cluster-u

● Handshake● “Dvosmjerna” veza

o Prikuplja podatkeo Izvršava komande

OSB LCS Gateway

LCS Dashboard

Podaci Registracija

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LCS Klijent

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LCS Gateway

● Server: Apache Tomcat● Java Servlet● Stateles arhitektura

o Tomcat-i nisu u clusteru

OSB LCS Gateway

Amazon ElastiCache(Redis)

Podaci

Autorizacija

o Tomcat-i nisu u clusteru● Dobiva podatke od klijenta● “Šalje” komande klijentu● Autorizacija portala prilikom

slanja podataka

Amazon SQS

ElastiCache(Redis)

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Amazon SQS

● Pouzdan● Jednostavan za korištenje● Skalabilan● Siguran● Siguran● Jeftin● Alternative: JMS, RabitMQ, ZeroMQ

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LCS Processor

● Server: Apache Tomcat● Akka framework● Stateless arhitektura

o Tomcat-i nisu u clusteru

Amazon SQS

Amazon ElastiCache(Redis)

Podacio Tomcat-i nisu u clusteru

● Sprema podatke u Cassandru

● Provjerava autentičnost portala

OSB LCS Processor

CassandraNOSQL

Podaci

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Amazon ElastiCache (Redis)

● Podržava Redis i Memcached● Redis

o key-value in-memory baza podatakao moguće spremanje podataka na disk kreiranjem o moguće spremanje podataka na disk kreiranjem

dump datoteke ili dodavanjem komandi u logo tipovi podataka: string hash, lista i seto podržava master-slave replikacijuo podržava transakcije, publish/subscribe, ograničeno

vrijeme života podataka, rad isključivo kao cache

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Apache Cassandra

● Linearna skalabilnost● Brzi upis podataka● Fleksibilna pohrana podataka● Ne sadrži centralno mjesto pogreške● Ne sadrži centralno mjesto pogreške● Jednostavna distribucija podataka● Pojednostavljena administracija● Podrška za transakcije (AID)● Sporije čitanje podataka● Oprez prilikom modeliaranja podataka

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LCS Dashboard

● Apache Tomcat● Liferay portal● Sučelje implementirano

kao skup portleta

MySQL

OAuth

File RepositoryAmazon

S3

LCS Dashboard

kao skup portleta● Klijent vrši autentifikaciju

preko OAuth-a● Integracija sa centralnom

bazom korisnika Cassandra

NOSQL

OSB LCS Portlet

OSB LCS NOSQL

Amazon EMR

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LCS Dashboard

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LCS Dashboard

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LCS Dashboard

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Amazon EMR(Apache Haddop)

● Omogućava distribuirano procesiranje velikih količina podataka preko grupe računala koristeći jednostavne programske modele

● Po potrebi povećava broj servera● Po potrebi povećava broj servera● Koristi se pri izračunu dostupnih zakrpa za

svaki server

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Budući planovi

● Private Beta● Error i Log management● Web analitika

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Hvala

Ivica ČardićSenior Software Engineer

[email protected]@liferay.com

Igor BešlićSenior Software Engineer

[email protected]