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Scaling For Planned Events
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Brian Akins
September 25, 2014
Programming
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Scaling For Planned Events
Theory, Practice, and Aftermath
Brian Akins
September 25, 2014
Transcript
16 slides
Scaling For Planned Events Theory, Practice, and Aftermath
About @bakins • OmniTI - Senior Principal Architect • Horrible
public speaker • Old school C guy • Operations and Development • Wife and four kids in Atlanta, Georgia
What is a “Planned Event” • Event on existing site
• Single or repeating • Immovable dates • Elections, sporting events, etc.
Ideally • Event handled via normal site operations • Business
goals clearly defined • Clearly defined schedule • Realistic traffic/capacity models
Reality • Competing business goals • Heroic scaling efforts often
needed • Last minute feature additions • Real money tied to sponsorships • Can’t be tested in production until the event
Cache Everything? • If possible… • Introduce caching layer in
proxy mode early • Is your site really “dynamic”? • Need buy-in from all parties: dev, biz, ops, etc
Feature Creep • Company X will give us $Y is
we do feature Z • Deals are usually signed late • Competing priorities • Testing schedule compressed - or eliminated
Degradation Planning • Decide before the event - you only
get one chance • What features are most “important”? • Most impactful • Playbook: if/when X, then Y • Feature flags • “Benevolent dictator”
Dependencies • Know your dependencies • Direct • Indirect •
Third party • Find the bottlenecks • Include these services in your planning
Event Operations • Physical and virtual “war rooms” • Business
liaison • Do a post-mortem, good or bad • Archive metrics
Examples/Experiences • Names have been changed to protect the innocent
and the guilty…
Easy One • Sports site using PHP-platform • Once a
year event • Poor cache-invalidation methods • increase TTL before event, etc
“Waiting Room” • “Legacy” video delivery services • Capacity reservations
• Do not return an error to user • “Distract” the user
“No one uses mobile…” • Presidential election • Growth of
mobile web usage • Third party failure
Unexpected ending • Last episode of popular TV show •
Fragile stack • “Controversial” ending to show • Two orders of magnitude more traffic on site than expected
None
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