Analyser vos logs avec Ingensi

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Analysez vos log avec Ingensi.

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  • 1. Partnership

2. Why shouldyou miming logs? 3. New servicesProductivityNew indicators 4. What really isa log? 5. StreamIncredible event-data sources 6. Heart-beaterror stacks and business events 7. Triviala log is not complex* 8. Cheapalready in place and separated 9. Structure-lessjava stacks, events, text, and so on 10. Volumelogs can be very verbose 11. Need processingI hope, no one is fluency 12. How build astack for this? 13. user experienceintuitive, simple, easyprocessingenrichment, algorithmsdatam2m, marketing, web 14. Pipeline#Real-timeQMS, API, Stream#BatchETL, Dump, flat files 15. Real-timeBatchFlume/StormSqoop/Files 16. Storage#Long-termAnalytics, data processing#(No)SQLFlexibility, scalability, API 17. BatchNoSQLElasticsearch/HBaseLong-term storageHDFS/Hadoop 18. ProcessDatascienceData aggregationAlgorithms, Datamiming,SandboxAd-Hoc Analysis 19. Batch APIProcessingM/R technologyPig, Hive, ImpalaAPI/JDBCCascalog, Java 20. Visualize"Probably the most important thing" 21. Real-timehttpsBatch APIProcessingDev HTML5AngularJS, D3JSReportingTableau, Qlikview 22. Real-timehttpsBatch APIProcessing 23. Hosteam"use case" 24. Hosteam email plateform 25. ProductivityBetter supportquality and reactivityPremiumclients basedon their interactionsIndividualcounters for eachcustomers 26. Groupe Cyrs140 bis Rue de Rennes75006 ParisTl. : +331 72 50 01 26Guillaume Polaert ([email protected])