Ben is a veteran cybersecurity and DevOps professional, as well as computer science lecturer. Today, he is the co-founder at ARMO, with a vision of making end-to-end Kubernetes security simple for everyone, and a core maintainer of the open source Kubescape project. He teaches advanced information security academically in both undergrad and graduate courses. In his previous capacities, he has been a security researcher and architect, pen-tester and lead developer at Cisco, NDS and Siemens.
Integrating eBPF observability data with static scanning tools in Kubernetes, such as API scans and image vulnerability scanners, can yield more accurate and actionable insights.
Static scanning tools (like Kubescape, Trivy, Grype) are a cornerstone in maintaining the security posture of our K8s clusters. However, their output can often be overwhelming and challenging to triage.
By harnessing eBPF's real-time, kernel-level observability, we propose to augment the accuracy of these tools, focusing their results and not overwhelm developers.
Living with AD(H)D can present unique challenges in various aspects of life, including focus, decision-making, and impulse control. As a professional (and even a project maintainer ☺), you have to keep tabs on many things. In this talk, we explore an unconventional yet effective approach to managing AD(H)D symptoms: playing chess daily.
Chess is not merely a game; it is a mental exercise that engages multiple cognitive faculties simultaneously. Chess activates critical areas of the brain involved in planning, judgment, memory, and visual processing. It activates both the left and the right hemispheres of the brain. AD(H)D affects the very same parts of the brain associated with thinking, paying attention, and planning. By integrating chess into our daily routine, we can harness its benefits to improve our ability to handle AD(H)D and enhance overall cognitive functioning.
Warning: this is not your regular KubeCon talk 😉