https://github.com/denuvosoftwaresolutions/fighting-bots-at-scale

Fighting Bots at Scale: Identifying Bottlenecks & Best Practice
https://github.com/denuvosoftwaresolutions/fighting-bots-at-scale

anti-cheat botting spark

Last synced: about 2 months ago
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Fighting Bots at Scale: Identifying Bottlenecks & Best Practice

• Host: GitHub
• URL: https://github.com/denuvosoftwaresolutions/fighting-bots-at-scale
• Owner: DenuvoSoftwareSolutions
• License: other
• Created: 2024-12-04T11:51:59.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-12-16T08:34:21.000Z (about 2 months ago)
• Last Synced: 2024-12-16T09:31:03.101Z (about 2 months ago)
• Topics: anti-cheat, botting, spark
• Homepage: https://denuvosoftwaresolutions.github.io/fighting-bots-at-scale/
• Size: 5.98 MB
• Stars: 3
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: docs/README.md
  • License: LICENSE

Awesome Lists containing this project

README

        

![robot playing](unbotify1.jpg)

December 2024, © Denuvo GmbH

Multi-part article:

1. [A Fresh Approach to Fighting Bots](fresh.md)

2. [Background: Databricks and Apache Spark](background.md)

3. [Key Performance Features in Spark](perf.md)

4. [Case study 1: Bottlenecks in Traditional Data Partition Management](case1.md)

5. [Case Study 2: Optimizing Data Loading Workflows](case2.md)

6. [Case Study 3: Window Functions as a Bottleneck in Data Aggregation](case3.md)

7. [Case Study 4: Transitioning from User Defined Functions to Scalable Spark-Based Solutions](case4.md)

8. [Case Study 5: Reduction in DataFrame Operations](case5.md)

9. [Conclusion: A Fair Gaming Environment Needs Cutting-edge Bot Protection](conclusion.md)