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Surviving the Grand National
A s t o r y f r o m t h e t r e n c h e s
The Grand National
9th April 2016
Some Grand National facts…
• Started in 1839
• Nearly 7km long (4 miles 514 yards)
• 30 fences jumped, over 2 laps
• Highest prized jump-race in Europe
• Up to 40 horses
• The favourite has only won 9 times in
the last 70 years
• Highest bet traffic of the year
A normal weekday
A normal weekday
A normal Saturday
Grand National day
Account / SSO
Infrastructure
Data analytics
… and others
Account / SSO
Infrastructure
Data analytics
… and others
Marketing
The “Bet” Tribe
Architecture Engineering Operations
The “Bet” Tribe - Technology
Architecture Engineering Operations
Squad
Squad
Squad
Squad
The “Bet” Tribe -
Technology
Web Ops Site Reliability
Engineering
Platform
Engineering
The “Bet” Tribe – Technology - Operations
Service
Management
Sky Bet Architecture
Load test cycle
Load test cycle
Problems found in load testing
• NFS performance
• Account API memory leak
• Virtual CPU layout issue
• and… performance of the load injectors
Load tests only tell you
about things you’re
expecting
If the world was predictable, there wouldn’t be a betting industry…
Unexpected events…
Leicester City wins the Premier
League
Horse races get
cancelled
Competitor websites
fail
Unexpected failures
• Payment gateways fail
• Banks fail
• Identity verification services fail
• Network transit links fail
• Storage backends (e.g. SANs) fail
• ISPs fail
• Customer services systems fail
Unexpected failures
• Payment gateways fail
• Banks fail
• Identity verification services fail
• Network transit links fail
• Storage backends (e.g. SANs) fail
• ISPs fail
• Customer services systems fail
Grand National timeline
The day itself
Two important things
Have a
plan
Have a good
team
Two important things
Have a
plan
Have a good
team… and let them do their job
Team structure
Office layout
Team structure
• Web servers
• Databases
• Trading systems
• Network
• Storage
• Compute power
• Account
• etc
Team structure
So, what went wrong?
Risk-management system
Risk management system
New = “Orwell”
Risk management system
New = “Orwell” Old = “Not cool enough
to have a name”
Risk management system
New = “Orwell” Old = “Not cool enough
to have a name”
Risk management system
New = “Orwell” Old = “Not cool enough
to have a name”
Risk management system
New = “Orwell” Old = “Not cool enough
to have a name”
Risk management system
New = “Orwell” Old = “Not cool enough
to have a name”
Risk management system
New = “Orwell” Old = “Not cool enough
to have a name”
Risk management system
New = “Orwell” Old = “Not cool enough
to have a name”
Risk management system
New = “Orwell” Old = “Not cool enough
to have a name”
Risk management system
New = “Orwell” Old = “Not cool enough
to have a name”
Risk management system
New = “Orwell” Old = “Not cool enough
to have a name”
Redis memory usage
Redis
What happened during the danger zone?
Grand National day
Grand National day
Lessons learnt
• Small teams
• Trust your teams
• Small, fast decision-making chain
Lessons learnt
• Small teams
• Trust your teams
• Small, fast decision-making chain
• Everyone likes a successful day!
Thanks for listening!
Image credits:
“Grand National in Leeds”: Tom Hudson
DOES16 London - Kevin Bowman - Surviving the Grand National

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DOES16 London - Kevin Bowman - Surviving the Grand National

Notas del editor

  1. The Grand National is the biggest horse race of the UK horse racing season. It's part of Aintree festival, which isn't the largest festival (it's not as big as Cheltenham), but it's the one race in the UK that everyone bets on even they don't bet on horse races. It's unique, it's an anomaly, and it makes the most traffic which a betting website sees all year.
  2. Notice the horse racing “spikiness” from 2pm – 9pm ish. Now we’ll scale that down…
  3. Here’s what a regular Saturday’s traffic looks like. Notice the football start and end, and then the late football match start and end.
  4. And here’s Grand National. Notice the football shape still happening, but uplifted a lot more. Also the sharp drop as the Grand National itself starts then the progressive recovery of traffic as we controlled the post-race thundering herd
  5. Who am I? Let’s understand a little about how SB&G is organised…
  6. SB&G is arranged into several areas
  7. I work in the ”Bet Tribe”, where a “Tribe” is something like a self-contained business unit
  8. The Bet Tribe is not only Technology – it includes Product and Marketing as well.
  9. Within Technology, we are grouped into 3 areas…
  10. … although delivery teams cut across all areas. Moving forwards, we’re trying to change it from just “delivery” into “ownership” – note that Operations is included here.
  11. Within the Operations world, we have 4 teams We look after the 24x7 site.
  12. SB&G is a rapidly growing business, and has been for several years now. We used to be wholly-owned by Sky, but just over a year ago they sold 80% of us to a private VC company. That gave us a lot of autonomy in how we operate, but it also made our first Grand National as an independent company a very high profile event in the eyes of our new owners.
  13. Architecturally, our betting site works in a traditional multi-tiered setup. Website runs on PHP, behind proxies which do no caching. Behind the PHP there's a few databases - MySQL and Mongo, as well as Redis for session and betslip storage (our betslip is a bit like an ecommerce shopping cart). If you want to place a bet or do anything transactional, then we call APIs into another system which, although we don't develop that ourselves, we do host it as part of our technology stack and we manage and scale it ourselves alongside the website. Notice the single Informix database behind it all. Scaling yay! We also run a whole replication system, which uses NodeJS and RabbitMQ to get the catalog of sporting events and betting odds out of the backend and into the website's databases.
  14. Preparation generally starts after Christmas, with a series of iterative cycles: Load test key areas Identify potential improvements Plan and implement the improvements HOWEVER… your load tests are lying to you.
  15. DON’T BELIEVE A LOAD TEST. You will never ever ever replicate real traffic. You need to use your experience to identify "key areas", and never think that the numbers you achieve in a load-test are representative of real life.
  16. Use your experience in every step of the cycle. Some things we found whilst load-testing…
  17. However, not everything is predictable…
  18. More unexpected events But worse than these failing, is…
  19. … them slowing down. For additional excitement…
  20. … this year they chose to change the start-time of the race, introducing a database-killing danger zone into the mix. To throw another unknown into the mix, last year we also made a lot of changes to our Accounts / SSO team; here’s Phil to tell you more.
  21. On the day itself, we did two things which were particularly important to us surviving.
  22. We knew that the plan wouldn't be stuck to, but it was useful to have a list of the un-movable parts of the day horse race starts football kick-offs and half- and full-times expected settlement times etc. Basically, a paper list of things which I could tick off as the day unfolded, and quickly reference if we saw any unexpected behaviour.
  23. Please let your teams do their jobs.
  24. More importantly, though, was having clusters of small autonomous teams spread throughout the office but all within a sight-line (and hearing range) of a single central point (which was me). Obviously, Sheffield weren't within hearing range of Leeds, but Phil acted as a proxy and was constantly on a video-call with the rest of the Account team in Sheffield, so as far as I was concerned Phil "was" the Sheffield office.
  25. It's important to call out the autonomous nature of the teams. We had teams of 2-4 people looking after things like
  26. I also had assistants for: Service management and non-technical business communication Recording everything which was happening, decisions made, incidents etc Taking over the coordination from me when I needed a break
  27. Remember when I said that load-testing doesn't work...? A couple of things very nearly went wrong on the day, but our teams noticed the potential problems and got out in front of them to put a fix in place.
  28. For example, one of our risk management systems (which lets our traders see a filtered list of all bets going through the system) nearly took out our ability to take bets.
  29. We have 2 versions of this risk management system – a new one (“Orwell”) …
  30. … and an old one which isn’t cool enough to have a name.
  31. Traders should be using Orwell, but In the run-up to the 3pm football kick-offs, Orwell hiccuped with the volume of bets going through it. As a result, all of the traders launched the old system, which was the known fallback for Orwell.
  32. Unfortunately, the way the old system works means that the more people who launch it during high-volume bet-placement periods, the more it starts to crumble. To make matters worse, one of the reasons why we've replaced the old system is because it's directly in line with bet-placement. If it slows down, so does our bet placement capability. The team looking after the trading systems noticed this, and realised that the Orwell hiccup had caused lots of people to launch the old system. After a quick conversation with me and our infrastructure team, they quickly scaled-up the Orwell platform …
  33. … opened the firewall to the new servers, put them into the load-balancer, and told the traders to go back to using Orwell instead of the old system.
  34. Bet placement remained unaffected.
  35. It was some of the best business we did all day. Zooming in on the danger zone…
  36. … there are 3 uplifts, and each of these is related to our phased approach to football settlement, which is how we protected our database. One of our largest competitors tweeted afterwards that they’d seen a record-breaking 9,779 bets/minute on the day – our management of the danger zone pushed us well above that for 20 mins or so.
  37. Crucially, there were a small number of people in the decision-making chain, and we had the right people in the right place to enact changes.
  38. Also... everyone went home at the end of day feeling good about themselves.