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The KPI Advantage: Unlocking Network Observability Through Data

Blog date iconMay 9, 2025Blog category iconDeep Network Observability
The KPI Advantage: Unlocking Network Observability Through Data
KPI observability: latency, bandwidth, and session analytics with Aviz Service Node (ASN)

KPIs that Matter: How Aviz Service Node (ASN) Measures Latency, Bandwidth & More

From data centers to telco and edge, ASN turns packet flows into precise KPIs—latency, bandwidth, retransmits, and per-session stats—for real-time, vendor-agnostic observability.

Introduction

In today’s networks, latency and bandwidth directly shape application performance—impacting video, gaming, collaboration, cloud access, and more. Aviz Service Node (ASN) computes high-fidelity KPIs across telco, data center, edge, FTTH, and campus environments, delivering the visibility teams need to optimize user experience and reliability.

Supported KPIs

  • Session-Based Packet Stats — Per session and per direction (uplink/downlink): total packets and total bytes processed by ASN.
  • Latency — Round-trip time from UE to DN and back with nanosecond-level precision. Influenced by congestion, distance, processing, queuing, and transmission delays; critical for real-time apps like VoIP, video, and gaming.
  • Bandwidth — Maximum data transfer rate measured in bytes per second (B/s). Higher bandwidth reduces buffering and speeds high-demand workloads; affected by infrastructure capacity, congestion, and protocol overheads.
  • Timestamps — ASN can compute using existing network timestamps if present, or inject nanosecond-accurate timestamps to enable precise interval KPIs.

KPI Calculation

High-level flow of ASN KPI computation and export
ASN computes KPIs on rolling windows and exports them in real time.

ASN calculates average bandwidth and latency on 5-second windows and exports events to a Kafka topic. If a session closes before a window completes, ASN immediately publishes the partial results to a priority Kafka topic—preserving accuracy and timeliness.

  • Bandwidth is computed per second and averaged over each 5-second window.
  • Early termination triggers an immediate export with the actual (shorter) interval’s bandwidth.
  • All KPI events are timestamped for precise time-series analysis and correlation.

This design ensures real-time monitoring, rapid anomaly detection, and dependable dashboards—without waiting for fixed collection cycles.

Example Kafka export and KPI stream produced by ASN

KPIs Support Matrix

Matrix showing which KPIs are available per session, per application, and per region
KPIs Per Session Per Application Per Region
Throughput / Bandwidth ✔ ✔ ✔
Uplink Latency ✔ ✔ ✔
Downlink Latency ✔ ✔ ✔
Retransmit Count ✔ ✔ ✔
Total Packets & Bytes ✔ ✔ ✔

Key Benefits of Optimizing Latency & Bandwidth

  • Enhanced User Experience — Lower latency smooths interactions; sufficient bandwidth prevents buffering.
  • Better Real-Time Communications — Critical for VoIP, gaming, and low-jitter financial flows.
  • Faster Cloud Access — Right-sized bandwidth keeps storage and compute responsive.
  • Scalability & Reliability — Low-latency, high-throughput fabrics absorb growth gracefully.
  • Productivity — Fewer slowdowns and incidents mean more time on mission-critical work.

Conclusion

KPIs are foundational to network quality. With ASN’s precise, real-time observability—spanning sessions, applications, and regions—operators can cut delay, raise throughput, and harden reliability across next-gen networks.

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Tags:aviz service nodeASNFTTHASN KPI ObservabilityLatency Bandwidth MetricsSession-Based Packet StatsVendor-Agnostic ObservabilityRound-Trip Time Measurement