PLAYER CUSTOMIZATIONWITH COUCHBASE

CLINTON VAN BLOMMESTEIN

Agenda

• What are we solving?

• What we ended up with.

• Why Couchbase?

About Me

• Clinton van Blommestein

• Derivco• 16 years

• Senior Developer, Horizon Team

• Views are my own

Derivco

Derivco

Derivco

CAPE TOWN

JOHANNESBURG

DURBAN

Derivco

• Started in 1994

• Software provider

• Casino, Poker, Mobile, Sportsbook, Bingo, etc.

What are we solving?

• Player customization

• Player segmentation

• Player settings

Player Segmentation

• Logical grouping of players

• Events and Attributes• Game history, deposits, etc.

• Extremely granular

• Grouping, ungrouping

• Targeting

Player Settings

• Retrieve settings for a game

• Validate settings before transaction

• Up to 120 settings per game per user

Player Settings Stack

DEFAULT

Player Settings Stack

DEFAULT

CURRENCY

SEGMENT

Player Settings Stack

DEFAULT

CURRENCY

REGULATED MARKET

SEGMENT

Player Settings Stack

• Around 10 levels

• Multiple stacks

Current Implementation

Goals

• Better utilization of hardware

• Elastic scale

• Make everything real time

Targets

• Hundreds of millions of players

• Unlimited attributes per player (Deposits, game history, etc)

• Zero downtime

• Modern software architecture

Technologies

Microsoft Service Fabric Microsoft Orleans

Microsoft Service Fabric

• Extensively used in Azure

• Application, container and services host

• Handles upgrades, failures, scale out

• On-premise and/or cloud

Microsoft Orleans

• Virtual “Actor”

• Extremely performant

• Xbox, Skype, Halo, Gears of War 4

What is a virtual actor?

• Contains data and logic

• Can be created and/or destroyed

• Activation also based on timer events

• Extremely high read/write requirements

Hundreds of millions

But data?

Tested

Couchbase Connect 2016

• Met with Couchbase Architects, Product Managers and Developers

• Excited, passionate

• Really willing to help

Couchbase

• Strong consistency

• CAS

• Sub-Document operations

• N1QL

• DCP

Architecture

Service Fabric

Orleans

Couchbase

Orleans Couchbase Storage Provider

Feature - Consistency

• Strong

• Replica reads

• Extremely high throughput

Feature - CAS

• Keeps grains in check

2 2

Feature - CAS

• Keeps grains in check

2 2

2

Feature - CAS

• Keeps grains in check

2 3

3

Feature - CAS

• Keeps grains in check

2 3

3

Feature – Sub-Document operations

• No need for full document processing

Feature - N1QL

• Familiar, easy to use

• Very performant for most use cases

• Allows hot vs cold split

Reporting

Reporting

?

RabbitMQ

ReportingRABBITMQ SUBSCRIBER

DCP

• Couchbase protocol

DCP

COUCHBASE COUCHBASE COUCHBASE

DCP

COUCHBASE COUCHBASE COUCHBASE

DCP

COUCHBASE COUCHBASE COUCHBASE

ReportingDOT NET

DCP CLIENT

Performance Stats

> 1 million player setting requests per second

Sub-millisecond Couchbase reads

Realtime event processing

Cloud burstable

Couchbase and 9th Bit

• Implementation review

• Infrastructure review

• Onsite training

Thank You