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Design and Development of a Distributed Bot Detection System with Sub-5ms Response Time for Enhanced Cybersecurity
  1. case
  2. Design and Development of a Distributed Bot Detection System with Sub-5ms Response Time for Enhanced Cybersecurity

Design and Development of a Distributed Bot Detection System with Sub-5ms Response Time for Enhanced Cybersecurity

meant4.com
Business services
Information technology
Security

Challenges in Cybersecurity Threat Mitigation

The client required a robust distributed system to mitigate DDoS attacks and scraping bots while maintaining sub-5ms response times in multi-zone cloud environments. Existing solutions risked downtime, scalability limitations, and insufficient real-time threat detection, compromising user experience and data security.

About the Client

A leading marketplace connecting companies with service providers, specializing in cybersecurity solutions and distributed systems.

Key Goals for Bot Detection System Development

  • Design a distributed system with sub-5ms response times for real-time threat mitigation
  • Ensure high availability and fault tolerance across multi-zone cloud environments
  • Implement seamless integration with Cloudflare and Kubernetes for automated threat response
  • Enable real-time analytics and live statistics for proactive cybersecurity management

Core System Functionalities

  • Real-time DDoS and scraping bot detection algorithms
  • Automated IP blocking via Cloudflare integration
  • Multi-zone distributed key/value store for data replication
  • Real-time analytics dashboards (Looker integration)
  • Kubernetes-native autoscaling for traffic spikes

Core Technologies

Golang
Kubernetes
BigQuery
Cloudflare
Google Cloud Logging

System Integrations

  • Cloudflare IP Blacklisting API
  • Kubernetes API
  • BigQuery for analytics
  • Looker BI Platform

Performance and Reliability Standards

  • Sub-5ms response time under all traffic conditions
  • 99.99% system availability with multi-zone redundancy
  • Support for unlimited requests per second during traffic surges
  • Real-time data replication across zones
  • Auto-scaling to handle dynamic workloads

Expected Business Outcomes

The system will establish a new benchmark for cybersecurity solutions, reducing attack surface by 90% through real-time threat blocking, eliminating downtime risks during attacks, and providing actionable insights via live analytics. Its sub-5ms response time ensures zero-latency security for eCommerce platforms and other mission-critical applications.

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