The field of system observability has been greatly enhanced by the application of eBPF. eBPF generates data at critical points in the execution of a system and that data is used for observation via software like Sysdig and Cilium. I propose to utilize the data generated for system state clustering. This is an application of machine learning to the above data to understand if the system is...
Priority access to all content
Video hallway track
Community chat
Exclusive promotions and giveaways