Catch Me If You Can – Leveraging Cloud Foundry, SDN, BOSH and Predictive Analytics
summary
Integrated pipeline uses Cloud Foundry + BOSH, SDN (NSX example), Spring Cloud Data Flow, HDFS/Hawk, Madlib and Enaml to feed metrics into models that predict degradations and APT fingerprints, then dispatch DSL recipes to BOSH, CF and the network to block IPs, spin up clean CF domains, adjust routes and isolate workloads. Prototype runs in a customer‑zero testbed with simulated DDoS and APT scenarios, demonstrating closed‑loop learning and automated remediation that significantly shrinks mean outage time, though it remains an evolving, not turn‑key, solution.
AI-written summary · about
chapters (5)
- 0:00Start
- 3:19What if we could improve performance
- 16:36Project Environment
- 22:17Use Cases for Demo
- 24:11Where do we go from here...
related talks
40mCloud Foundry Through the Eyes of a Hacker
32mBuilding a Robust Cloud Foundry (HA, Security and DR)
49mA Real-World Example of Using Network Behaviour to Detect Cyber-Compromise
40mLeveraging Cloud SDNs to Solve OWASP Top Ten
30mCloud Foundry: The Gaps
29mBuilding Resilient AI Platforms: Financial Fraud Detection
22mAttacking SDN Infrastructure: Are We Ready for the Next-Gen Networking?
35mRunning Cloud Foundry in a Compliance and Security Focused Environment