<ul><li>Inside a modern RIA powered by Solr </li></ul>Andrew Montalenti Co-Founder & Technology Lead [email_address]
Mainstream Blogs  30,000 900,000 1 From Technorati’s 2008 State of the Blogosphere 1
But, What about your interests?
your interests,  your web
What is  ? <ul><li>Your unique interests </li></ul><ul><li>…  create a filtered, prioritized, and personalized news feed  ...
Demo! (if possible)
Let’s pop open the hood!
The RIA
Solr in the Real World <ul><li>Storage of &quot;canonical data“ </li></ul><ul><li>Relational vs. Search Index </li></ul><u...
 
Scaling Up Parse.ly <ul><li>Custom scoring </li></ul><ul><li>Multicore </li></ul><ul><li>Distributed search </li></ul><ul>...
powered by
Andrew Didier Sachin
Quick Plug <ul><li>Does your company or enterprise </li></ul><ul><li>need our services? </li></ul>
Twitter @amontalenti Product Twitter  @parse_ly Website http://parse.ly Team Blog http://blog.cogtree.com Sign up now! It’...
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Parsely: Inside a modern RIA built with Solr

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Parse.ly is a rich, adaptive web application that discovers your unique interests to filter and prioritize content from countless news and blog sources on the web. This talk will introduce Parse.ly with a quick demo and then delve right into how the Parse.ly engineering team makes use of the Solr open source search engine. This will include discussion of initial design mistakes that were later revised and "real world issues" that were overcome in scaling a system that currently processes millions of articles per week. Finally, we will discuss the existing Solr and Python landscape, and how we at Parse.ly aim to help the Solr community with the open source release of high-quality, Pythonic components for doing common Solr tasks.

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  • What if a system could deliver you only the most relevant content, prioritized to what’s important to you?
  • You tell us what you’re into – type in your interests and weight them according to your preferences. We deliver you a filtered, prioritize news feed with content gathered from over 120,000 online sources: mainstream news, blogs, social media channels. Most important items at the top. Waste less time skimming headlines, more time on relevant news items.
  • A comprehensive news filtering system that can will monitor, filter and prioritize news items for employees and allow them to delegate and action those items? (Parse.ly Premium) A Content Personalization API , that can recommend relevant online content to users with very little a priori information? (Parse.ly API)
  • Parsely: Inside a modern RIA built with Solr

    1. 1. <ul><li>Inside a modern RIA powered by Solr </li></ul>Andrew Montalenti Co-Founder & Technology Lead [email_address]
    2. 2.
    3. 3. Mainstream Blogs 30,000 900,000 1 From Technorati’s 2008 State of the Blogosphere 1
    4. 4. But, What about your interests?
    5. 5. your interests, your web
    6. 6.
    7. 7. What is ? <ul><li>Your unique interests </li></ul><ul><li>… create a filtered, prioritized, and personalized news feed </li></ul><ul><li>… built just for you! </li></ul><ul><li>120K+ news and blog sources tracked </li></ul><ul><li>The most personally relevant items at the top </li></ul><ul><li>Bottom line: You spend less time skimming headlines, and more time reading relevant content. </li></ul>
    8. 8. Demo! (if possible)
    9. 9. Let’s pop open the hood!
    10. 10. The RIA
    11. 11.
    12. 12.
    13. 13.
    14. 14. Solr in the Real World <ul><li>Storage of &quot;canonical data“ </li></ul><ul><li>Relational vs. Search Index </li></ul><ul><li>Complexity of custom relevancy scoring </li></ul><ul><li>&quot;Near-Real-Time&quot; updates </li></ul><ul><li>Solr in a pipeline </li></ul><ul><li>Pushing bits and marshalling cost </li></ul><ul><li>Index size, corruption, and stability </li></ul><ul><li>Administrability </li></ul>
    15. 16. Scaling Up Parse.ly <ul><li>Custom scoring </li></ul><ul><li>Multicore </li></ul><ul><li>Distributed search </li></ul><ul><li>Celery / Disco </li></ul><ul><li>User-Article Binding Problem </li></ul>
    16. 17.
    17. 18.
    18. 19.
    19. 20.
    20. 21. powered by
    21. 22. Andrew Didier Sachin
    22. 23. Quick Plug <ul><li>Does your company or enterprise </li></ul><ul><li>need our services? </li></ul>
    23. 24.
    24. 25. Twitter @amontalenti Product Twitter @parse_ly Website http://parse.ly Team Blog http://blog.cogtree.com Sign up now! It’s Free! Promo Code SLIDES Andrew Montalenti [email_address]

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