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Elastic{ON} 2018 - Lessons Learned from Workday's Search Application Journey from POC to Production

Elastic Co
March 01, 2018

Elastic{ON} 2018 - Lessons Learned from Workday's Search Application Journey from POC to Production

Elastic Co

March 01, 2018
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  1. Workday February 28, 2018 https://github.com/Workday Lessons Learned from A Search

    Application POC to Production Journey Angela Juang, Tech Lead Search Madhura Dudhgaonkar, Head of Search/ML
  2. This presentation may contain forward-looking statements for which there are

    risks, uncertainties, and assumptions. If the risks materialize or assumptions prove incorrect, Workday’s business results and directions could differ materially from results implied by the forward-looking statements. Forward-looking statements include any statements regarding strategies or plans for future operations; any statements concerning new features, enhancements or upgrades to our existing applications or plans for future applications; and any statements of belief. Further information on risks that could affect Workday’s results is included in our filings with the Securities and Exchange Commission which are available on the Workday investor relations webpage: www.workday.com/company/investor_relations.php Workday assumes no obligation for and does not intend to update any forward-looking statements. Any unreleased services, features, functionality or enhancements referenced in any Workday document, roadmap, blog, our website, press release or public statement that are not currently available are subject to change at Workday’s discretion and may not be delivered as planned or at all. Customers who purchase Workday, Inc. services should make their purchase decisions upon services, features, and functions that are currently available. Safe Harbor Statement
  3. scala & search & senior developer & (San Francisco or

    San Mateo or Dublin, Ireland) & enterprise software & file systems & distributed systems & query latency tuning Workday Confidential What Customers Told
  4. Angela Gates & scala 10 of 5000 Angela Juang Jas

    Singh Angela Gates . . Workday Confidential
  5. Angela Gates & scala & senior developer 10 of 2000

    Angela Juang Jas Singh John Washington Angela Gates . Workday Confidential
  6. Angela Gates & scala & senior developer 10 of 500

    Angela Juang Jas Singh John Washington Angela Gates . Workday Confidential
  7. John Washington 10 of 2000 John Singh (Ref: John Washington)

    John Washington Angela Gates (John Hopkins University) . . Workday Confidential
  8. Angela Gates & scala & senior developer 10 of 20

    Angela Gates Angela Juang Jas Singh John Washington . Workday Confidential
  9. 22 TB JVM heap <= 30GB per data node 734

    data nodes (minimum!) Workday Confidential
  10. • Solve the right search problem • Check data quality

    early • Understand the characteristics of your data and growth patterns • Plan for the unknown Workday Confidential In Summary
  11. We Are Hiring! Distributed systems engineer Elasticsearch engineer Search engineer

    Data scientist Machine Learning engineer Deep learning engineer Workday Confidential