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![Facebook – Scribe - Logging
Nodes Nodes Nodes
Scribe Scribe Scribe
Statistics
What is Facebook
Technical challenges
Front End $messages = array();
$entry = new LogEntry;
Data arch
Central Scribe Server $entry->category = "buckettest";
Services architecture $entry->message = "something very”;
$messages []= $entry;
$result = $conn->Log($messages);
Dashboards
HBase](https://image.slidesharecdn.com/opentalk-facebookarchitecture-120103014701-phpapp02/85/Facebook-Architecture-Breaking-it-Open-13-320.jpg)
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Facebook Architecture - Breaking it Open
Facebook uses a distributed systems architecture with services like Memcache, Scribe, Thrift, and Hip Hop to handle large data volumes and high concurrency. Key components include the Haystack photo storage system, BigPipe for faster page loading, and a PHP front-end optimized using Hip Hop. Data is partitioned horizontally and services communicate using lightweight protocols like Thrift.
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Facebook Architecture - Breaking it Open
- 1. Learning and Development Be part of the learning experience at Aditi. presents Join the talks. Its free. Free as in freedom at work, not free-beer. Its not training. Its mind-opener. Speak at these events. Or bring an expert/friend to talk. Open Talk Series Mail OpenTalk@aditi.com with topic and A series of illuminating talks and interactions that open our minds to new availability. ideas and concepts; that makes us look for newer or better ways of doing what we did; or point us to exciting things we have never done before. A range of topics on Technology, Business, Fun and Life.
- 2. HOW TO ENJOYAN TALK Bring coffee & friends Switch OFF mobile Switch ON mind Sign attendance sheet SHARE your wisdom QUESTION notions THANK the Talker SPREAD the good word
- 3. architecture Sundararajan Subramanian Image Copyright : facebook
- 4. facebook in 20Minutes • 2.7 M Photos • 10.2M Comments • 4.6 Messages Statistics What is Facebook • Shared links: 1,000,000 Technical challenges • Tagged photos: 1,323,000 Front End • Event invites sent out: 1,484,000 Data arch Services architecture • Wall Posts: 1,587,000 • Status updates: 1,851,000 • Friend requests accepted: 1,972,000 • Photos uploaded: 2,716,000 • Comments: 10,208,000 • Message: 4,632,000
- 5. facebook in 20Minutes Direct Friendship Statistics What is Facebook Technical challenges Front End Data arch Services architecture Friends of Friends
- 6. What is facebook • A social graph • Friends , Friends of friends, somewhere in the network. • Friends can comment, like, read your posts • Friends of friends can just read Statistics What is Facebook Technical challenges • Facebook messages – chat/ email/ SMS Front End • Near real-time updates Data arch Services architecture
- 7. Technical Challenges Challenges Ok to Live with Statistics What is Facebook • High • Not Mission Technical challenges Front End Concurrency Critical Data arch • High Data • Cached data is Services architecture Volumes fine • Multilevel • Write Failures Hierarchical are tolerable data
- 8. The Data –(Illustrational) Everything is a hash lookup User Friend User Age Bio Intere ID s with Name sts Statistics 1 2,3,4 XYZ .. .. .. What is Facebook 2 1 .. .. .. .. Technical challenges Challenges Solutions Front End Data arch Services architecture The Relational Nature of the data No Constraints, No Joins in MySQL Data Volumes Write Through cache implementation Concurrency Hash Ring based architecture
- 9. facebook – DataPartition initial thoughts • Horizontal partitioning based on Networks. – Harvard Statistics – Stanford What is Facebook Technical challenges – Carnegie Front End Data arch Services architecture
- 10. facebook –Photos -HayStack • Each File read required a minimum of 3 i/o in a typical file system • CDNs- Not a Solution • Haystack is a customized storage Statistics system, which minimizes the What is Facebook Technical challenges Front End amount of File metadata and involves only 1 i/o for each file Data arch Services architecture read. • Haystack caches extensive data in in its main memory
- 11. facebook – HayStack Statistics HayStack Interface HayStack HayStack What is Facebook Cache Directory Technical challenges Front End Data arch Logical Drives Logical Drives Services architecture PD PD PD PD PD PD http://CDN/Cache/Machine id/(Logical volume, Photo)
- 12. Facebook – Servingthe Photo - Haystack Statistics What is Facebook Technical challenges Front End Data arch Services architecture
- 13. Facebook – Scribe- Logging Nodes Nodes Nodes Scribe Scribe Scribe Statistics What is Facebook Technical challenges Front End $messages = array(); $entry = new LogEntry; Data arch Central Scribe Server $entry->category = "buckettest"; Services architecture $entry->message = "something very”; $messages []= $entry; $result = $conn->Log($messages); Dashboards HBase
- 14. facebook – Services–Thrift • Lightweight Software framework for cross- language development • Dev need not worry about serialization , connection handling and threading • Supported bindings: Statistics What is Facebook Technical challenges – C++, PHP, Python, java, ruby, erlang, perl, Front End haskell • Transports : Simple interface to i/o Data arch Services architecture • Protocols : Serialization format – TBinaryProtocol, TJsonProtocol • Severs – Non Blocking, Async, Single threaded, multi- threaded
- 15. facebook – Memcache • In-memory distributed hash table • “hot” data from MySQL stored in cache Statistics What is Facebook Technical challenges Front End Data arch Services architecture
- 16. facebook – frontend - PHP • Op – Code Optimization • APC improvements(alternate PHP cache) – Lazy Loading – Cache priming Statistics • Custom Extensions What is Facebook Technical challenges – Memcache Client Extension Front End – Serialization format Data arch – Logging, Stats Collection, Monitoring Services architecture – Asynchronous event-handling mechanism
- 17. facebook – frontend – Hip Hop • Source Code Transformer • Static Analysis, type inference, Code Generation Statistics • Easier to write extensions What is Facebook Technical challenges • Significantly cuts down on CPU and Memory usage Front End Data arch Services architecture
- 18. facebook – frontend – Hip Hop Statistics What is Facebook Technical challenges Front End Data arch Services architecture
- 19. facebook – frontend – BigPipe BigPipe first breaks web pages into multiple chunks called pagelets Statistics What is Facebook Technical challenges Front End Data arch Services architecture
- 20. facebook – frontend – BigPipe BigPipe first breaks web pages into multiple chunks called pagelets Request Parsing Web Server parses and sanity checks the request Data Fetching Web Server fetches data from storage tier Statistics What is Facebook Markup Generation Web server generates HTML Markup Technical challenges Front End Network Transport Response is transferred Data arch Services architecture CSS downloading Dom Tree Construction JavaScript downloading JS Execution
- 21. facebook – TechnologyStack Front End Big Pipe Hip Hop PHP - Custom compiler / Cache implementations Linux – Custom Kernel Extensions Service Aggregators Scribe Thrift Service 1 Service 2 Service 3 Service 4 Data Store MemCache – Write Through Cache implementation Cassandra MySQL HBase HayStack
- 22. facebook – MessagesInfrastructure Statistics What is Facebook Technical challenges Front End Data arch Services architecture Messages
- 23. facebook - Messages Statistics Whatis Facebook Technical challenges Front End Data arch Services architecture Messages
- 24. facebook - Messages Statistics Whatis Facebook Technical challenges Front End Data arch Services architecture Messages
- 25. facebook – Cells Cell Node 1 Statistics What is Facebook Node Technical challenges Node2 n Zookeper Front End Controller Data arch Machines Services architecture Messages Node Node 4 3 Application Server Cluster Metadata Store
- 26. facebook – Cells • They help scale incrementally while limiting failure scenarios • Easy upgrades Statistics What is Facebook • Metadata store failures affect only a few Technical challenges users Front End Data arch Services architecture • Easy rollout Messages • Flexibility to host cells in different data centers with multi-homing for disaster recovery
- 27. Take away –for our applications • Really parallel Asynchronous AJAX Pages – ASP.Net Update panels is a HOAX • Appropriate usage of client side technology • Cache – Cache – Cache – Write Through Caches are way better – App Fabric cache/ Memcache • High – Normalization is not needed – Store denormalized views – materialized views • Parallel Services and Service aggregators • Fault tolerant applications • Asynchronous Processing • 1 Sec response time is too SLOW
- 28. References • http://facebook.com/engineering • www.infoq.com • www.highscalability.com • www.stackoverflow.com • www.thrift.org
- 30. Keep Learning For suggestionson topics/ feedbacks etc., Contact OpenTalk@aditi.com