How Google Uses eBPF to Tailor CPU Scheduling and Optimize Workload Performance

Download this case study in PDF version Overview Google faced significant infrastructure challenges due to the performance limitations of general-purpose kernel CPU schedulers, which could not optimize for the infrastructure’s highly specific application behaviors and hardware combinations. To resolve this, Google implemented application-tailored CPU scheduling policies using pluggable eBPF schedulers (originally ghOSt , and now via the sched_ext framework). This eBPF-driven architecture delivered a 5% queries per second (QPS) improvement in some of its core Remote Procedure Call (RPC) serving