Oracle RAC - Customer Proven Scalability

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Oracle Real Application Clusters (RAC) Customer Proven Scalability

Markus Michalewicz, Troy Anthony Oracle Real ApplicaEon Clusters (RAC) and DBaaS Product Management November 6th, 2014

@OracleRACpm h:p://www.linkedin.com/in/markusmichalewicz h:p://www.slideshare.net/MarkusMichalewicz

Copyright © 2014, Oracle and/or its affiliates. All rights reserved. 3

Oracle RAC Customer Examples


Oracle RAC Customers with 4+ Nodes

12 out of these 56 customers (~21%) use(d) 4 or more nodes


•  Does the applicaEon scale on a single (SMP) system?

5

Scaling Principles

write write write write



write write

write write

•  If it does, it is likely to scale horizontally.

•  Scalability is measured considering the whole system.


Stock Exchange Workload Test

1 4 8

2

8

6

# of CPU

s

# of Nodes

6

640 tps

2

4 1200 tps

1200 tps

88%↑

88%↑

2200 tps

83%↑

83%↑

2208 tps

2000 tps

67%↑

84%↑

3600 tps

64%↑

76%↑

80%↑

3888 tps 78%↑

67%↑

6480 tps 80%↑

6424 tps 70%↑


Scaled beyond 10 nodes already in 2007 Mercado Libre

0

500,000

1,000,000

1,500,000

2,000,000Bu

sines

s Volu

me

2004 2005 2006

Nod

es

2007


Oracle RAC = Scalability by Design

Instance C 1 2

Instance A Instance B

GCS

Current 225

Update Block 10

Requester Holder

200

3

Coordinator


Oracle RAC Customers – Strong on RAC Now and Then

In 2008 Yahoo standardized on Oracle

RAC with one RAC database spanning at least 2, but no more than 8 nodes, which

was also the maximum size of the cluster.

“Full support for RAC scale-‐out means Oracle Database In-‐Memory can be used on our largest Data Warehouse, enabling more near real-‐Eme analyEcs.”

•  Sudhi Vijayakumar, Senior Oracle DBA Yahoo Inc.

In 2014, Yahoo is sEll strong on Oracle RAC, adopEng new technologies.


Oracle RAC Customers – Strong on RAC Now and Then

In 2014, Postbank is sEll strong on Oracle RAC, using commodity hardware and 10G.

In 2007, Postbank tested with 4 nodes using Infiniband to determine the new standard setup for their data centers.


Burlington Coat Factory: RAC / ADG Benefits

Business Objec[ves • High Server Load/ Poor System Availability.

• Many independent two-‐node clusters impacEng IT staff ProducEvity

• No Disaster Preparedness • Awkward Storage Provisioning and Management ResulEng in Outages, Uncertainty Around Remaining Capacity

Solu[on • RAC on Suse Linux

“We have two data centers. They're ten kilometers apart. We have two clusters, and on each cluster we run the Oracle Data Guard copies for the other cluster. So basically all the data is always in both data centers in real Ame. ” -‐ Mike Price, CTO

50% faster queries

Be:er Performance

Availanility

Inc up[me and DR

Scalable hardware

Two 18 node clusters

IT Produc[vity

Simplified management using

EM

Data Center 2 Data Center 1

SKU 1 DB

SKU 2 DB

SKU 3 DB

SKU 4 DB

Standby

for SKU

5-‐8 DBs

SKU 5 DB

SKU 7 DB

SKU 6 DB

SKU 8 DB

10km

18-‐node cluster RAC IBM xSeries SUSE Linux

Data Center 2 Data Center 1


BriEsh Telecom: Database-‐as-‐a-‐Service on HP Blades

Benefits 10x Faster Overall

Greater Agility

Deploy gold image

Rapid, custom provisioning Lower Costs

Weeks to minutes “What stands out … above the many other benefits of our Oracle Database consolidaAon onto a private cloud is the astonishing agility it gives us. Dropping our database deployment Ame down to 19 minutes from the weeks it used to take has brought us much closer to the customer service levels our business goals demand. Being able to manage 30% more databases with 20% fewer DBAs further confirms that standardizing on Oracle Database 11g was the right choice.’ Surren Partabh, CTO Core Technologies, BT Operate

Business Objectives • Lower h/w and admin costs • Greater business agility • Better customer service

Solution • Reduce h/w with DB consolidation •  Standard configs: fast to deploy, easy to manage • Rapid self-service, user-customized

ASM: 4 Common Pools of Storage • Data • Archive • Online Logs • Flashback Area:12 TB

“Gold Image:” • 6 HP blades hos[ng 50 RAC DBs • Delivered in pairs: primary and DR • ReplicaEon with ODG

Weeks to Minutes

20% less IT effort for 30% more DBs


Oracle RAC Customers – Strong on RAC Now and Then Con[nuing to go strong on Oracle Exadata


CBA: Database-‐as-‐a-‐Service on “Commodity Clusters”

Benefits

Business Objec[ves • Cost savings • Rapid provisioning • Extreme standardizaEon

Solu[on

• 2009-‐2013: Thirteen Exadata systems deployed in total

“As the business seeks more services on demand, we needed to provide that resilient plaRorm and Exadata provides us a consolidated plaRorm for database services that can meet all those needs” -‐ Nicolas Tan, Head, Infrastructure and Plaiorm Services

150% in 5 Years

ROI Rapid Provisioning

Months to Minutes

OPEX

50~60% Reduc[on

Simplified Management

Two Oracle Homes

•  Enterprise servers configured by CBA

• Commodity clusters configured by CBA

•  Commodity clusters configured by Oracle

•  350+ databases across 3 cloud “pools”


AmerisourceBergen: SAP ERP, CRM Benefits

Business Objec[ves • Increase capacity • Improve system stability • Scalable systems • Robust HA/DR • Reduce footprint

Solu[on • 2013: 6 Full Racks + 3 Half Racks + Storage Expansion

• 2014 plan: Half Rack upgrade + 1 Full Rack

“It (Exadata) allowed AmerisourceBergen to scale rapidly and double the size of the throughput at the company without interrupAon. The delivered soluAon is tremendously stable and scalable.” -‐ Philip Hotz, Manager EITS Oracle Support and SAP Basis

Data Center Cost Savings

2:1 Consolida[on

Maximum Availability No unplanned down[me

Scalability

> 2x transac[ons +1 TB Data/Month

Faster Time to Deploy

Deploy in Days vs Weeks

Exadata X3-‐8/X3-‐2

•  SAP ERP, CRM, NetWeaver Portal, PI, IDM •  Future: consolidate 100+DBs @ 230 TB+ •  Full RMAN backup from standby •  Archive log backup 1.5 TB/day

Exadata X3-‐8/X3-‐2 + Storage Expansion

•  DR: 2 X3-‐8 full racks & 2 X3-‐2 half racks plus Storage Expansion half rack

•  Staging area for QA or UAT

Pre-‐Exadata

•  IBM X64 Suse Linux •  EMC storage arrays, SRDF replica[on

•  9 systems per SAP applica[on

Standby Produc[on

WAN (60 miles)

DR

Data Guard Data Guard


Oracle Beehive: CollaboraEon Benefits

Business Objec[ves

• CollaboraEon for > 120K users • Headroom for 3+ years • Improved response Emes • Guaranteed upEme

Solu[on

• 2009: Move storage to Exadata V1 storage

• 2011: Migrate to X2-‐2

“Beehive is our largest applicaAon in-‐house. It is Oracle’s largest backend database.” -‐ Campbell Webb, Vice-‐President IT, Oracle

Faster Response 5x – 60x

100% Up[me Capacity for Growth

Exadata X2-‐2 Standby

Exadata X2-‐2 Produc[on

Exadata V1 Storage Servers

AusEn (Texas) Data Center Utah Data Center

2011

• 9 full-‐rack X2-‐2 •  2.3 Petabytes raw disk •  48 TB flash •  > 5,000 peak TPS

•  9 full-‐rack X2-‐2 •  Triple mirroring •  Disk backups/flashback enabled •  100% up[me since go-‐live

•  96 V1 storage servers •  Post-‐Sun acquisi[on, CPU and disk oversubscribed

Data Guard


A

Rakuten: Real-‐Time OLTP Benefits

Business Objec[ves • Support Rapid Business Growth • Reduce complexity and numbers of servers to manage

• Balanced Workload and system Stability

Solu[on • Replaced 6 HP SuperDomes and EMC storage with a single Exadata rack. MAA for DR.

Replaced 6 HP SuperDome and EMC storage with

Exadata

2x Exadata 5-‐nodes (primary and standby)

•  2500 SQL transac[onsper second •  40 ms (avg) response [mes (99.99%)

Faster Applica[ons 2x – 7x faster

Maximum Availability 99.99%

Increased Volume Lower OpEx

43% less energy consumed. Data Centre

cost reduc[on

% Increase MAA is a framework. Availability must be a direcAve.

ADG

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Oracle RAC - Customer Proven Scalability

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