Unibet.com Architecture
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- Philip Manning
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1 Unibet.com Architecture Open Source at Unibet.com: 10x scalability at half the
2 About the speaker
3 Unibet Open Source strategy
4 Open source software and open standards should always be our first choice Avoid vendor lock-in - software we use should have a right-to-use license without any cost attached
5 Commercial, proprietary software need to show exceptional business value (over Free solutions) in order to be considered Contribute to the community by buying support from companies backing FOSS solutions or paying for product improvements
6 Customers Partners & Affiliates Banners Browser Flash/Flex Content Deliver Networks Fan-out Push Servers DDos Protection Single-sign-on Payment Web CMS REST API:s Poker Casino Bingo Async Betting API Messaging Customer System Wallet System Bonus System Betting Engine
7 Customers Partners & Affiliates Banners Browser Flash/Flex Content Deliver Networks Fan-out Push Servers DDos Protection Single-sign-on Payment Web CMS REST API:s Async Betting API Messaging Customer System Wallet System Bonus System Betting Engine
8 Unibet in numbers 100% online web sites in 27 languages Gross win: 250 million dollars / year Technical growth is >100% / year
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16 Why is this hard?
17 Because users are growing impatient
18 2006: 4 seconds Source: Juniper Research
19 2009: 2 seconds Source: Forrester Research
20 Two main challenges Latency - data too far away from where it s needed Bottlenecks - resource contention
21 Avg 40 ms RTT
22 Meet Kevin Kevin is a customer to the candy store Kevin wants to buy 40 pcs for his allowance Kevin has extremely small pockets (they only fit one piece of candy) He also wants to buy two chocolate bars and one bubble gum The candy store is far far away from Kevin s house
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24 Idea #1 Sell bags of candy (Caveat: no bars or bubblegums in bags!)
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26 The bag is a big JS file
27 The bag is a big CSS file
28 The bag is a CSS image sprite*
29 /4.9.3/images/uskin1/uspritesheadertabs.png blacktab
30 The 100% optimized e-commerce web page: 4 requests Conn ms 30 ms HTML CSS Conn ms JS 30 ms IMG Total time: 530 ms
31 Some real world data amazon.com: 57 requests (6) ebay.com: 41 requests (4) unibet.com: 41 requests (1)
32 Ouch.
33 Idea #2 Sell bags on street corners (Caveat: no bars or bubblegums in bags!)
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35 There are many street corners
36 Street corners are very near all customers
37 The street corner is a Content Delivery Network node
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39 35 ms avg latency GOOD SPOT
40 70 ms avg latency BAD SPOT
41 BAD SPOT Bandwidth Latency Redundancy Pricing
42 Tune tune tune the front-end! 80-90% of the end-user response time is spent downloading and processing all the components in the page Rewrote and optimized all our front-end code (XHTML, CSS, JS) Implemented image spriting and fixed other issues with cache headers etc
43 Tune tune tune the front-end! Use best practice to optimize your frontend (YSlow, Page Speed etc) Progressive rendering is key Improve performance by having objects served close to the user
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45 How we do it Follow YSlow and Pagespeed guidelines Be close to your users - use a Content Delivery Network (CDN) Prepend CDN proxy name to all static files: /foo/bar -> Set a one year cache-time (no 304:s) Version your static content Stripe objects over several CNAMES
46 15 ms avg latency 10 ms avg latency 10 ms avg latency NOT SO BAD SPOT
47 By using a CDN we serve our users quickly from anywhere in the world Capacity is not an issue We have cut our delivery costs to 25% Use several CDN vendors for load balancing / redundancy
48 Next steps...
49 Live Betting data distribution Bet while the game is on Who gets the next corner, who scores the next goal etc 10000:s of real-time clients need price updates almost every second 20 concurrent games 10+ offers within one game Product growth 60-80% per year
50 Betting Engine
51 Fan-out Server Fan-out Server Betting Engine
52 Kaazing Rabbit MQ Kaazing Rabbit MQ End-to-end messaging RabbitMQ RabbitMQ Betting Engine Kaazing Enterprise Gateway Google Protocol Buffers
53 RabbitMQ Free Open Source and Open Standards protocol (AMQP) Highly available, highly scalable (Erlang/OTP) Excellent & friendly support available
54 Kaazing Open Source and Open Standards protocol (HTML5 WebSockets) Supported AMQP clients for Flex, browers Connection offloading Great at overcoming last mile hurdles (firewalls, proxies, browsers) Excellent & friendly support available
55 Protocol Buffers Flexible, efficient, automated mechanism for serializing (binary) Schema support (.proto files) Language neutral (we use Java to Actionscript) Invented and used by Google Open Sourced in July 2008
56 Java/ Spring Betting Engine RabbitMQ RabbitMQ Kaazing Fan-out node AS3 Live Betting Client Protobufs/AMQP
57 Let s get back to the Candy store...
58 Datacenter Ok, the candy delivery problem is solved! However, we cannot serve the customers chocolate and bubble gum quickly enough Queues are building up due to our bottlenecks
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60 The chocolate bar is a cacheable read
61 The bubble gum is a non-cacheable read or a write
62 The candy store checkout is an app server
63 The bubble gum machine is a database system
64 Example #1 More hardware! (and sw licenses)
65 Kids are invading our store...
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71 Food for thought paying per core is paying for peaks......is not acceptable?
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74 You cannot buy a product to solve this problem
75 Need to rearchitect!
76 Example #2 Near-cache
77 Terracotta Network Attached Memory Extends the Java threading model across JVM:s In-memory speed access to data Fully coherent, with stored to disk guarantees Writes are sent as deltas across nodes
78 Keep data stored/cached where it s needed for processing JVM Heap Betting Engine Betting Engine... Betting Engine L1 SoR Event Repository Bet Offer Repository Live Bets Terracotta L2 Eventually consistent Reporting/ Legacy write-behind Oracle (MySQL)
79 Keep data stored/cached where it s needed for processing JVM Heap Betting Engine Betting Engine... Betting Engine L1 update SoR Event Repository Bet Offer Repository Live Bets Terracotta L2 write-behind Reporting/ Legacy Oracle (MySQL)
80 Terracotta L2 server can become bottleneck Shard (free) or stripe ($$$)
81 Example #3 Offload reads to separate systems
82 Betting Engine Betting Engine... Betting Engine History Server... History Server Event Repository Bet Offer Repository Live Bets R R R Bet History Terracotta L2 Oracle (MySQL) Settle Bet MySQL Backoffice
83 Example #4 Affinity + multi master replication
84 cus-client.jar cus-client.jar user1 user2 user3 user4 Customer System Customer System Customer System Customer System LDAP LDAP LDAP LDAP data center 1 data center 2
85 Example #5 Partition the data to scale writes
86 C C C Need to get settlements done quickly More than writes / s History Server... History Server Scale out by using multiple MySQL instances Live Bets Bet History routing S1 S2 S3 MySQL
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88 Combining the pieces
89 Browser Betting Client Flash Betting Client HTML Geo-distributed Fan-out Push Servers (Kaazing) History API Settled bets 100% read Betting API Live data commands price updates and replies Betting History sharded with local MySQL write-behind on settlement Betting Engine Betting Engine Betting Engine Shared memory for events, bet offers and customer bets (Terracotta) payouts AMQP Broker (RabbitMQ) write-behind Account Servers Database (MySQL)
90 Recap: Two main challenges Latency - data too far away from where it s needed Bottlenecks - resource contention
91 Recipes used at Unibet information delivery Optimize your web apps! Get rid of static object traffic Move web data closer to customers (CDN) Last-mile fan-out messaging
92 Recipes used at Unibet in the data center Move data to business logic Read-only farms Multi-master replication for read-mostly data Sharding to scale writes
93 Open Source Software and Services is used by Unibet extensively in mission critical applications because...
94 ...we are convinced it s better and more cost effective!
95 Thanks! (we re stnor.wordpress.com
96 Backup slides
97 DDoS resilience Outsourced DNS DDoS protection service
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100 Unibet is here Unibet is here Unibet is here GRE tunnels
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