Metrics for Web Applications - Netcamp 2012

Metrics for Web Applications - Netcamp 2012

• 1.
  Metrics for Web Applications Andrei Savu - asavu@axemblr.com Netcamp 2012
• 2.
  Me • Founder ofAxemblr.com • Bucharest Java User Group (bjug.ro) • Worked for Facebook & Adobe • Connect with me on LinkedIn
• 3.
  Overview • Why measure? •Infrastructure vs. Business Metrics • SaaS Metrics • Resources • Questions
• 4.
  Why measure?
• 5.
  Network Bandwidth CPU Disk Usage Infrastructure Metrics RAID System Load IOPS Sessions Memory Usage
• 6.
  Infrastructure Metrics • Ifit moves it should have a Graph • Valuable for historical reasons • Think “flight deck” • You can know in advance when bad things happen (e.g. Black Friday)
• 7.
  CAC COGS LTV Conversion Rate Business Metrics Churn Profitability Cohort Analysis MRR Cash
• 8.
  SaaS Metrics Actionable Metrics for SaaS companies http://www.forentrepreneurs.com/saas-metrics/
• 9.
  Key Goals
• 10.
  Profitability
• 11.
  Guidelines
• 12.
  MRR
• 13.
  Customer Profitability
• 14.
  Customer Profitability
• 15.
  Cost of AcquiringCust.
• 16.
  LTV = ARPU* LT - GOGS LT (life time) = 1 / Churn
• 17.
  Churn Rate
• 18.
  Cohort Analysis
• 19.
  Two Key Variables
• 20.
  Key Points • UnifiedSystem for Metrics (Facebook like) (e.g. cpu load & network vs. gogs) • Measure, Analyse, Improve, Repeat • Run Experiments (scientific methodology)
• 21.
  Thanks! Questions? Andrei Savu - asavu@axemblr.com Twitter: @andreisavu
• 22.
  Resources #1 • Graphite http://graphite.wikidot.com/ • Nagios http://www.nagios.org/ • Ganglia http://ganglia.sourceforge.net/
• 23.
  Resource #2 • Etsy:Measure Anything, Measure Everything http://codeascraft.etsy.com/2011/02/15/ measure-anything-measure-everything/ • Etsy: StatsD https://github.com/etsy/statsd • Coda Hale Metrics http://metrics.codahale.com/