The eBPF dataplane differs from traditional Linux dataplane in many ways, with its structure largely dictated by the location of the so-called eBPF hooks inside the kernel – locations where developers can inject their eBPF programs to change default kernel behavior.

As Kubernetes becomes the backbone of modern cloud native applications, organizations increasingly seek to consolidate workloads and resources by running multiple tenants within the same Kubernetes infrastructure. These tenants could be: While multitenancy offers cost efficiency and centralized management, it also introduces security and operational challenges: To address these concerns, practitioners have three primary options for deploying multiple tenants securely on Kubernetes.

In today’s cloud-native environments, network security is more complex than ever, with Kubernetes and containerized workloads introducing unique challenges. Traditional tools struggle to monitor and secure these dynamic, interconnected systems, leaving organizations vulnerable to advanced threats, such as lateral movement, zero-day exploits, ransomware, data exfiltration, and more.

Over the past year, there has been a culmination of hype and excitement around Generative AI (GenAI). Most organizations initiated proof-of-concept projects for GenAI, eager to reap the technology’s benefits, which range from improved operational efficiency to cost reductions. According to recent research, 88% of organizations are in the midst of actively investigating GenAI, transcending other AI applications.