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Enabling Experimentation

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The talk that Nick, Paul and myself gave at the first Forward developer day.

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Enabling Experimentation

  1. 1. Embracing Experimentation <ul><li>Enabling and exploiting a culture of experimentation within Energy </li></ul>24 Sept 2010
  2. 2. Why is it Important? <ul><li>Not experimenting means you’re not learning </li></ul><ul><li>Don’t know what you don’t know </li></ul><ul><li>Mediocrity </li></ul><ul><li>Stifle innovation and competitiveness </li></ul><ul><li>Only way to achieve significant improvements </li></ul>
  3. 3. Lack of Experimentation <ul><li>Energy’s overarching domain </li></ul><ul><li>Complex admin tool </li></ul><ul><li>THE DATA PUSH (ongoing) </li></ul><ul><li>Untouchable code </li></ul><ul><li>Simple (complex) release process </li></ul><ul><li>“Why change it? You’ll only rewrite it the same.” </li></ul>
  4. 4. Enabling Experimentation <ul><li>Less-coupled more modular structure </li></ul><ul><li>Distinct domain concepts </li></ul><ul><li>Model utility rather than reality </li></ul><ul><li>Ensure clear separation </li></ul>
  5. 5. Example: Bounded Context <ul><li>Logically and physically separated </li></ul><ul><li>Appropriate domain language </li></ul><ul><li>Acknowledge and isolate interaction </li></ul>
  6. 6. Bounded Contexts <ul><li>Importing Rate Cards </li></ul><ul><li>Pricing plans and performing comparisons </li></ul><ul><li>Switching a customers energy supplier </li></ul>
  7. 7. Experimenting with Comparison <ul><li>Price energy plans based on user profiles </li></ul><ul><li>Lots of calculations </li></ul><ul><li>Transforming a lot of data </li></ul><ul><li>Can’t be a bottle neck </li></ul>
  8. 8. Experimenting with Tools varnish Mongo compojure Tariff Editor mysql sinatra Home Movers sinatra Comparison
  9. 9. Issues with Experimentation <ul><li>New language idioms </li></ul><ul><li>New development environment </li></ul><ul><li>Deployment </li></ul><ul><li>Demands your own interest and investment </li></ul><ul><li>#fail? </li></ul>
  10. 10. Clojure Tools <ul><li>Actually lots of similarity to Ruby </li></ul><ul><ul><li>rake/gem -> lein </li></ul></ul><ul><ul><li>irb -> lein repl </li></ul></ul><ul><ul><li>rack -> ring </li></ul></ul><ul><ul><li>sinatra -> compojure </li></ul></ul><ul><li>Capistrano still works for deploys </li></ul>
  11. 11. Experimentation Rewards <ul><li>Functional programming (and Clojure) great fit for our problem </li></ul><ul><li>Resulting code is smaller and more succinct </li></ul><ul><li>Higher-order functions provide powerful composition </li></ul><ul><li>More to come... protocols, partial fns, macros etc. </li></ul><ul><li>Fast enough : >100 requests/second </li></ul><ul><li>No complex AOT caching </li></ul><ul><li>Simpler deployments </li></ul>
  12. 12. #win <ul><li>Modularity exposed way to break down problem </li></ul><ul><li>Break problems apart and you can solve everything in the most effective way </li></ul><ul><li>Small composable services with bounded contexts encouraged experimentation </li></ul><ul><li>Produced a tighter codebase with simpler deployment </li></ul><ul><li>No caching needed : performance allows realtime updates </li></ul>
  13. 13. #win <ul><li>Good people , experimentation , and technology has built a far more capable , flexible , scalable solution than with ‘obvious’ tools </li></ul><ul><li>You don’t know unless you try </li></ul>
  14. 14. Clojure #win <ul><li>Coming soon to a project near you </li></ul><ul><li>Demo/up-and-running with Clojure later this afternoon </li></ul>
  15. 15. Questions?
  16. 16. k’thx bye... until this afternoon

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