Lifting AntiSpam to the cloud and beyond #bbuzz
summary
Describes migrating an AntiSpam platform from an on-prem Hadoop cluster to Google Cloud, detailing which Google Cloud components they adopted and how they architected the system. Covers practical benefits such as using BigQuery for training machine learning models and Data Studio for monitoring predictions, and outlines new machine learning techniques developed to detect and penalize spammers.
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chapters (14)
- 0:00Start
- 0:28ABOUT LOVOO AND ANTISPAM
- 0:54STORY TIME
- 2:49OUR ARCHITECTURE
- 5:31ANTISPAM UP IN THE SKY
- 6:21CLOUD COMPONENTS OF ANTISPAM
- 7:25TOOLING LANDSCAPE
- 7:46IMPROVEMENTS TO ANTISPAM
- 9:09CONVICTION
- 10:41PHOTOGRAPHER: IMAGE HASHES
- 11:23PHOTOGRAPHER: TEXT DETECTION + OCR
- 13:06ROSETTA
- 14:11DATA STUDIO
- 14:35RECAP AND CONCLUSION
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