SlideShare a Scribd company logo
Под капотом 
у Salesforce 
www.vrpinc.com
Agenda 
• Hardware infrastructure 
• Data infrastructure 
• Multitenant architecture 
www.vrpinc.com
Salesforce statistics 
• 22 North America instances, 6 EMEA instances and 2 APAC instances 
• 25 sandbox instances 
• 1,300,000,000+ daily transactions 
• 24,000 database transactions per second at peak (equivalent to a page 
view on other sites) 
• 15,000+ hardware systems 
• > 22 PB of raw SAN storage capacity 
www.vrpinc.com
Software Technologies Employed 
• Linux for development and primary production systems 
• Solaris 10 w/ ZFS 
• Jetty 
• Oracle 
• Solr 
• Memcache 
• Apache QPID 
• QFS 
• Puppet, Razor 
• Perl, Python 
• Nagios 
• Perforce, Git, Subversion 
www.vrpinc.com
Hardware topology 
POD 
• Self-contained set of hardware 
• Each customer is in one pod 
• Each pod services many customers 
• Data persistence and System of Record 
• Data processing 
• Hardware mirroring 
www.vrpinc.com
POD 
www.vrpinc.com
POD 
www.vrpinc.com
Data centers 
Location Function 
• San Jose, CA Main Production Data Center 
• Chicago, IL Production Data Center 
• Reston, VA Production & Back-up Data Center 
• Singapore Production Data Center 
• Japan Production Data Center 
• San Francisco, CA R&D Lab and Tape Archive 
• London, UK Production Data Center 
www.vrpinc.com
Data infrastructure Building Blocks 
• Relational Database 
• Distributed File System 
• Search 
www.vrpinc.com
Relational Database 
• Sharding / Partitioning 
Shard based on customer 
• High availability 
8 machine database cluster 
Automatic failover 
www.vrpinc.com
Relational Database 
• Backups 
3 lag databases 
Near Real-time 
2 Hour 
48 Hour 
Tape / Disk 
• Disaster Recovery 
Hardware block-level replication 
www.vrpinc.com
Distributed File System 
• Binary Object Store 
• Homegrown Technology called FileForce 
• Optimized for High Availability 
www.vrpinc.com
Distributed File System 
www.vrpinc.com
Search 
• Full-text search capability 
• Wide variety of data to support: 
• Structured data: id, email, phone number 
• Unstructured data: long documents, short chatter posts 
• Real-time indexing and querying 
• 90% of events indexed in < 3 mins 
• Lucene & Solr 
www.vrpinc.com
Multitenancy 
• Tenant = Organization (aka Company) 
• Each Organization has many sub-tenants (aka Users, Private model) 
www.vrpinc.com
Multitenancy 
www.vrpinc.com 
(On-Premise or Hosted) 
App 1 
App Server 
Database 
OS 
Server 
Storage 
Network 
App 
1 
App 
2 App 
3 
Single-Tenant 
App 2 
App Server 
Database 
OS 
App 3 
App Server 
Database 
OS 
Buy, Install, Build, Tune, Upgrade 
Multi-Tenant 
Innovation. Not Infrastructure 
Server 
Storage 
Network 
Server 
Storage 
Network 
One Company 
Many App Stacks 
Many Companies 
One Shared Stack
Multitenant database 
• To support Custom Objects, Salesforce uses: 
• Arbitrary Transaction Support 
• Locking 
• Row caching 
• To support Custom Objects, we don’t use: 
• Native data typing 
• Native indexing 
• Foreign Key Constraints 
• Query Optimization 
• Stats Collection 
www.vrpinc.com
Multitenant Data Model 
www.vrpinc.com
Flex Schema: 
www.vrpinc.com
Flex Schema: Optimizations 
www.vrpinc.com
Multi-tenant Query Optimizer 
www.vrpinc.com
Q&A 
www.vrpinc.com
Thank you for 
your attention 
www.vrpinc.com

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Under the Covers of Salesforce (Eugene Rusalev)

  • 1. Под капотом у Salesforce www.vrpinc.com
  • 2. Agenda • Hardware infrastructure • Data infrastructure • Multitenant architecture www.vrpinc.com
  • 3. Salesforce statistics • 22 North America instances, 6 EMEA instances and 2 APAC instances • 25 sandbox instances • 1,300,000,000+ daily transactions • 24,000 database transactions per second at peak (equivalent to a page view on other sites) • 15,000+ hardware systems • > 22 PB of raw SAN storage capacity www.vrpinc.com
  • 4. Software Technologies Employed • Linux for development and primary production systems • Solaris 10 w/ ZFS • Jetty • Oracle • Solr • Memcache • Apache QPID • QFS • Puppet, Razor • Perl, Python • Nagios • Perforce, Git, Subversion www.vrpinc.com
  • 5. Hardware topology POD • Self-contained set of hardware • Each customer is in one pod • Each pod services many customers • Data persistence and System of Record • Data processing • Hardware mirroring www.vrpinc.com
  • 8. Data centers Location Function • San Jose, CA Main Production Data Center • Chicago, IL Production Data Center • Reston, VA Production & Back-up Data Center • Singapore Production Data Center • Japan Production Data Center • San Francisco, CA R&D Lab and Tape Archive • London, UK Production Data Center www.vrpinc.com
  • 9. Data infrastructure Building Blocks • Relational Database • Distributed File System • Search www.vrpinc.com
  • 10. Relational Database • Sharding / Partitioning Shard based on customer • High availability 8 machine database cluster Automatic failover www.vrpinc.com
  • 11. Relational Database • Backups 3 lag databases Near Real-time 2 Hour 48 Hour Tape / Disk • Disaster Recovery Hardware block-level replication www.vrpinc.com
  • 12. Distributed File System • Binary Object Store • Homegrown Technology called FileForce • Optimized for High Availability www.vrpinc.com
  • 13. Distributed File System www.vrpinc.com
  • 14. Search • Full-text search capability • Wide variety of data to support: • Structured data: id, email, phone number • Unstructured data: long documents, short chatter posts • Real-time indexing and querying • 90% of events indexed in < 3 mins • Lucene & Solr www.vrpinc.com
  • 15. Multitenancy • Tenant = Organization (aka Company) • Each Organization has many sub-tenants (aka Users, Private model) www.vrpinc.com
  • 16. Multitenancy www.vrpinc.com (On-Premise or Hosted) App 1 App Server Database OS Server Storage Network App 1 App 2 App 3 Single-Tenant App 2 App Server Database OS App 3 App Server Database OS Buy, Install, Build, Tune, Upgrade Multi-Tenant Innovation. Not Infrastructure Server Storage Network Server Storage Network One Company Many App Stacks Many Companies One Shared Stack
  • 17. Multitenant database • To support Custom Objects, Salesforce uses: • Arbitrary Transaction Support • Locking • Row caching • To support Custom Objects, we don’t use: • Native data typing • Native indexing • Foreign Key Constraints • Query Optimization • Stats Collection www.vrpinc.com
  • 18. Multitenant Data Model www.vrpinc.com
  • 20. Flex Schema: Optimizations www.vrpinc.com
  • 23. Thank you for your attention www.vrpinc.com