DevFest Tugdual Grall Technical Evangelist [email protected] @tgrall 

Proud to be Polyglot! Tugdual Grall Technical Evangelist [email protected] @tgrall 

• Modern Applications Must Manage any type of data Scale Be fault tolerant Adapt to change Modern Applications 

• Mono-Technology • Single “language/architecture” • Single Database : RDBMS • One size fits all approach Current Architecture JSP/JSF   Services   Messaging   JTA   DAO/JPA 

Is it good for me? • Many files • XML, Sources, .. • Does Hibernate/JPA is good for all? • Impedance mismatch • Need to scale • from 0 to 50millions users in 6 weeks • How to add new features easily? • changing code, updating data structure, ... • and all this for yesterday! 

One size does NOT fit all! 

Look at our data…. 

Big Data 

Big Users http://www.theconnectivist.com/    &  Cisco 

Stay up! .  .  . Application Scale out Add more “Web” servers RDBMS Scale Up Get bigger server RDBMS App  Server 

Scaling out RDBMS .  .  . App  Server .  .  . Memcached .  .  . MySQL • Run Many SQL Servers • Data could be sharded • Done by the application code • Caching Layer 

NoSQL to Scale out! .  .  . Application Scale out Add more “Web” servers NoSQL Scale Out Add more servers NoSQL App  Server .  .  . 

Operational vs Analytics Databases Warehouse, Analytics Applications, Interactions 

Polyglot Persistence Big  Data/Analysis Document RDBMS • Log  Capture   • Recommendations   • Predictions   • Ad  Campaign • Products   • User  Profiles   • Game  Actions   • Sessions   • Shopping  Cart • Financial  Data   • Reporting 

• Understand the pros/cons of each solutions – Programming API – How to access the data? (API, Query Languages) • Learn how to design data model – De-normalizing and duplicate data is not a problem • Integrate each solution to your application • Note: This is something you already do ! – Operational RDBMS and Data Warehouse Developer New Skills 

• Wrap data call in Services – loosely coupled Data Service Layer .  .  . App  Server 

Use Case : Personalization WebSite  /  Application Personalization Database Data Processing Logs Logs Application Data 

Use Case : Mobile / API PIM Database • Legacy Application • Product Information NoSQL • REST API • Product Data • Additional Metadata 

Now  What? 

Why multiple languages? • Sometimes we have no choice – HTML/CSS/JavaScript + Server Side – Mobile Native Applications • Java/.Net are slow movers – Java EE 5.0 is still mainstream (2006) • Many languages and frameworks – Scala, Clojure, Groovy, Dart, Go, Ruby, Python, F#, Erlang, Node.js, Rails, Play!, Grails, ... 

• Realtime interaction with WebSockets : – Wait for Java EE 7 to supported by your IT? – Hack your app server and application with Continuation ? – Use Node.js and Socket.io ? • Data Collection and Treatment? – Find a library? – Create your library? – Use Java 8 and Lambdas? – Use Scala? Examples 

• Simple CRUD Application – Use the JavaEE stack with JPA and JSF? – Use Spring ? – Use tools like Play!, Grails, Rails, MEAN ? Examples 

• Maturity/Supportability • Features Set • Learning Curve • Productivity How to chose? 

• Build a new database – Save and retrieve data on disk – Cache the data on RAM – Build a query engine – Build replication and sharding – Build a Monitoring engine & console – Build a Backup/Restore Solution Polyglot Programming in Action 

• Data access, caching, and replication – C/C++ is the fastest way to interact with I/O – Leverage existing Caching layer & I/O – memory-mapped file • Query & Indexing – Leverage C/C++, and expose native JS engine • Management – Web Console : Java & HTML/CSS – Agent : GoLang Polyglot Programming in Action 

MongoDB & MMS 

Use Case : Second Screen Experience .  .  . Node.js  +  Socket  IO Play!  ApplicaIon   Python  Scripts 

Demonstration Sentiment  Analysis 

Conclusion • Use the good tool for the good task – Do not try to “hack” something when you have a simpler solution – Think about your users first... so deliver and get feedback • Learning is part of our job ! – And this will help you and your project • What about maintenance? – Do you think it is easier to maintain complex code? 

Tugdual Grall Technical Evangelist [email protected] @tgrall Questions?