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CASE STUDY

High-Precision Network Telemetry for Low-Latency Environments

Delivered nanosecond-level visibility into network behavior, enabling precise analysis of transient events and performance anomalies.

Situation

The client operated in an environment where microbursts and transient congestion events could materially impact system performance. Existing monitoring tools lacked the temporal resolution and fidelity required to capture these events accurately.

Solution

An FPGA-based telemetry platform was developed to capture and analyze packet streams with cycle-level precision. The system operated without introducing jitter or measurement distortion.

OUTCOMES

99% captured
transient events
Captured losslessly
under peak throughput
$1.2M saved
tuning efficiency
4x faster
root-cause analysis

Challenges

Visibility

  • Insufficient timing resolution
  • Missed transient events

Monitoring

  • Sampling blind spots
  • Inaccurate congestion detection

Solutions

01

Hardware Timestamping

Inline timestamping at hardware clock resolution.

  • Captured packet timing at clock-cycle precision
  • Enabled accurate sequencing of network events
  • Eliminated timestamp jitter from software layers
02

Microburst Detection

Real-time detection of microbursts and congestion patterns.

  • Identified short-lived congestion bursts precisely
  • Supported proactive infrastructure tuning
03

Lossless Packet Capture

Lossless packet capture under extreme throughput conditions.

  • Maintained capture integrity at peak traffic rates
  • Eliminated sampling-related visibility gaps
  • Preserved full-fidelity telemetry streams
04

Latency Histograms

Custom hardware counters and histograms for latency distribution analysis.

  • Generated detailed latency distribution profiles
  • Enabled deep timing anomaly analysis
  • Supported performance regression detection
05

Streaming Telemetry Export

Streaming export of structured telemetry for downstream analytics.

  • Delivered structured telemetry to analytics pipelines
  • Supported integration with observability platforms
  • Enabled continuous performance monitoring workflows