OpenShift Network Observability - DDoS Attack and Analysis with AI Model

Are your cloud-native applications safe from targeted traffic floods? In this video, we dive deep into the mechanics of a Distributed Denial of Service (DDoS) attack and demonstrate how to detect such an attack using next-generation technology. Watch as we simulate a live DDoS attack, leverage OpenShift Network Observability to observe the symptoms, perform a TCP dump and make use of the DeepSeek model to analyze the packet capture.

*What you'll learn*

⚡ The Anatomy of a DDoS Attack: How malicious traffic patterns target and attempt to overwhelm your services.
⚡ OpenShift Network Observability: Overview and instructions on how to capture live network traffic (TCP dump) directly within your OpenShift cluster.
⚡ AI-Driven Packet Analysis: See exactly how we feed the PCAP data into DeepSeek to instantly identify anomalies, malicious signatures and attack vectors.

Whether you're a DevOps engineer, a cybersecurity enthusiast, or simply curious about the intersection of AI and network observability, this video will show you how to leverage intelligent tools to keep your infrastructure secure.

Видео OpenShift Network Observability - DDoS Attack and Analysis with AI Model канала eanylin