C++20 + Python · real-time systems · 2026
Real-Time Observability Monitor
180 million decisions, observed without missing the deadline.Watch the loop without slowing it down.
A C++20 and Python pipeline observes deadline-bound control loops—a quantum-error-correction-shaped workload and a robot PID controller—on an AWS Linux bare-metal server.
Nanoseconds in. Milliseconds out.
A producer thread hands every telemetry record through a concurrent queue and shared-memory IPC, adding only 66–77 ns of CPU time per record.
2.6 ms delivery across 180M decisions.
Batching cut CPU cost 84% and network I/O calls 99.6%, while kernel-level CPU, memory, and network faults tried to break a 5 ms budget.