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...
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