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.