Scaling Rails Applications In The Cloud

Scaling Rails Applications In The Cloud - Presentation Transcript

Scaling Rails Applications in the Cloud 100 new users in < 2 hours The hashtag for this talk is: #SX09-573

A Typical Case Study 32 The Inevitable Mass Adoption of Our Product Public Beta 8 Techcrunch50 Me, Josh, Friends & Family and a 4 Private Beta few other people The Inexorable March of Time

I’m Mike Subelsky @subelsky / @otherinbox

What is Cloud Computing?

Solving problems across a ﬂexible grid of nodes

...which you consume as a utility

The nodes are elastic

The nodes are loosely coupled Tasking System Computing Computing Computing Computing Instance Instance Instance Instance Permanent Storage

The nodes are distributed

The nodes are ephemeral

The nodes are disposable

What are the beneﬁts?

Lower cost Greater eﬃciency Greater ﬂexibility

You want ﬂexibility

My Cloud Grows With Me! 32 Heady, Viral, Asymptomtotic Growth of Userbase Public Beta 8 Techcrunch50 Me, Josh, Friends & Family and a 4 Private Beta few other people The Blink of an Eye

What are the costs?

Some loss of control Potential for lock-in Greater complexity

You chose a language that sublimates complexity

aws-S3 RightAWS Ruby/EventMachine Ruby Shines Here Hpricot memcache-client ActiveSupport

Capistrano Chef Rubber PoolParty Scalr Roll Your Own

What do you need to get started?

Tasking System Computing Computing Computing Computing Instance Instance Instance Instance Permanent Storage Bonus: Non-RDBMS

Our Sky SMTP Sync Staging Staging Staging Staging Staging Staging Processing Master DB Staging Staging Staging Staging Staging Experiment Workers Web

Web Cloud Mongrels & Memcached JSON Mongrels & HTML Apache HAProxy Master DB Memcached Atom Mongrels & Memcached Message Bodies Mailbox Export Requests, Domain Registration SQS S3

Staging & Experiments

Sync Cloud

Autoscaling

SMTP Cloud o et Ta SQS m s na e kin e Fil ars g S3 P Postﬁx MailSender MailReceiver MailParser Master DB le Ra Fi w Mb x bo ox M Fil w e Ra S3

Loose Coupling Is How I Sleep At Night US-EAST-1C to Ta e SQS am skin en e Fil ars g S3 P Postﬁx MailSender MailReceiver MailParser Master DB le Ra Fi w Mb x bo ox M Fil w e Ra S3 US-EAST-1B to Ta me SQS s na e kin ile rs g 3 F Pa S Postﬁx MailSender MailReceiver MailParser Master DB le Ra Fi w Mb x bo ox M Fil w e Ra S3

Loose Coupling Is How I Sleep At Night US-EAST-1C to Ta me SQS s na e kin ile rs g 3 F Pa S Postﬁx MailSender MailReceiver MailParser Master DB le Ra Fi w Mb x bo ox M Fil w e Ra S3 X XX US-EAST-1B o t Ta me SQS s a kin en e Fil ars g 3P S Postﬁx MailSender MailReceiver MailParser Master DB le Ra Fi w Mb x bo ox M Fil w e Ra S3

Loose Coupling Is How I Sleep At Night X US-EAST-1C to Ta me SQS s na e kin ile rs g 3 F Pa S Postﬁx MailSender MailReceiver MailParser Master DB le Ra Fi w Mb x bo ox M Fil w e Ra S3 X US-EAST-1B o t Ta me SQS s a kin en e Fil ars g 3P S Postﬁx MailSender MailReceiver MailParser Master DB le Ra Fi w Mb x bo ox M Fil w e Ra S3

Loose Coupling Is How I Sleep At Night

What It Looks Like

Processing Cloud MessageParser h s pu cks Tasks MessageParsing Queue a allb e MessageClassfier Queue MessageClassifier c rd nam o AnyFeatureWeWant Queue ec file R ive S3 ct A AnyFeatureWorker Message Created

Workers • MessageExporter • DailyUpdateSender • RegistrationWorker • BackupWorker

The Database Is a Single Point of Failure

How We Cope Hourly EBS Volume Snapshots Weekly Master DB Dumps Expensive Queries Memcached

A Dark But Illustrative Tale with QuickTime

Manual Stuﬀ mkdir /vol mount /vol /dev/sdj sudo god start mysqld

Manual Stuﬀ change database.yml by hand (yuck) queue mail to redeliver

(Wasted) Troubleshooting: 15 mins

Provisioning new database: 15 mins

If there was a next time...

(standard programmer optimism applies) < 10 minutes

Replication? Sharding?

Key-Value? Columns?

Logging gem Splunk Logging Good ol’ fashion tail

Zenoss Hoptoad Slow query log Dash Monitoring RightScale Alertra New Relic

Questions? mike@oib.com @subelsky @otherinbox

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Thank you!