SimSciex NOC — SnifNet.AI Last-Mile Telemetry

Region

Gauteng

14 PoPs

Subscribers

48,250

312 hotspots

Capacity

400 Gbps

71% utilised

PON lines

1,840

monitored ONTs

Mitigation

7.8 ms

closed loop at edge

Open tickets

auto-suppressed

Architecture Topology

Gauteng · SnifNet.AI reasoning at the last mile

Closed-loop mitigation7.8 ms

Optical Power (PON)

nominal

-20.25dBm

Attenuation 2.53 dB · no degradation trend detected

Wi-Fi Airtime Contention

clear

54%

RF noise floor -89.9 dBm across 312 community hotspots

Bufferbloat

nominal

21ms queue delay

10 micro-bursts/s detected on the aggregation uplink

Jitter

stable

3.0ms

Voice and gaming class variance measured at the ONT

Packet Loss

clean

0.04%

Edge shaping absorbing loss before Layer 2

PPPoE / L2TP Tunnel Health

stable

99.3%

Session churn 4/s · 284.0 Gbps carried

MTN Core (BNG) CPU

headroom

50% · session overhead

Analytics offloaded to the last mile

RF Noise Floor

quiet

-89.9dBm

2.4 / 5 GHz composite across community Wi-Fi cells

99.995%

Wholesale SLA compliance

Zero-breach tracking · target 99.98%

Fault Injection

SnifNet.AI will detect, shape and self-heal autonomously.

SnifNet.AI mode: anomaly detection <10 ms, dynamic pre-tunnel traffic shaping, autonomous mitigation before packets reach Layer 2.

NOC Event Stream

Nominal — no active incidents.