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Catch the fraud — with observability and analytics

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Titel
Catch the fraud — with observability and analytics
Serientitel
Anzahl der Teile
60
Autor
Lizenz
CC-Namensnennung 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
Identifikatoren
Herausgeber
Erscheinungsjahr2023
SpracheEnglisch

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
Elastic — the company behind Elasticsearch, Kibana,... — is running an annual competition to reward contributions like pull requests, blog posts, talks, etc. Once we started giving away MacBooks, we got a massive influx of fraud. This talk tells the tongue-in-cheek story of how people cheated and also how we caught them: * Observability: Find the bots and trace everyone's actions to figure out what is a coincidence and what is not. * Analytics: See how people are trying to exploit the system through fake accounts, shady content, or bending the rules. While we initially hadn't planned for this scenario, having the power of search available across observability and analytics data let us do many interesting correlations to get a complete picture of the monster we had created.