TraceFlux

ARCHITECTURE • KAFKA-BASED DATA PLANE

Kafka-powered data plane built for high-volume network telemetry.

TraceFlux uses a distributed, partitioned event backbone to ingest, buffer, normalize, and replay hybrid telemetry streams at scale — enabling deterministic correlation and governed automation.

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STREAMING ARCHITECTURE OVERVIEW
Flow / BGP / DNS / Metrics Sources
Kafka Backbone (Partitioned Topics)
Normalization & Correlation Workers
Incident & Drift State Stores

Why Kafka as the backbone?

High-Throughput Ingestion

Sustain millions of flow records per minute with horizontal partition scaling.

Ordered Partitions

Preserve event ordering per key (router, prefix, POP) to ensure deterministic correlation.

Durable Retention

Configurable retention windows enable replay, parity validation, and drift reprocessing.

Data plane architecture breakdown

Ingestion Layer
Flow collectors, BGP listeners, DNS streams, and metrics exporters push structured events into partitioned Kafka topics.
Kafka Backbone
Partitioned topics provide horizontal scale. Replication ensures durability and high availability across regions.
Processing Layer
Workers consume partitions deterministically to normalize signals, compute trust scores, and feed correlation pipelines.
State & Snapshot
Incident state, drift baselines, and replay checkpoints are persisted for deterministic reconstruction.

Partitioning enables deterministic correlation.

Partition Keys
  • • Router ID
  • • Prefix
  • • POP / Region
  • • Service identifier
Guarantees
  • • Ordered processing per key
  • • Stable fingerprint generation
  • • Predictable replay outcomes
  • • Deterministic incident formation

Replay is built into the data plane.

Retained topics allow deterministic re-consumption of telemetry windows. Replay executions rely on Kafka’s durability and ordering guarantees to validate policy changes before production enforcement.

Retention → Reprocessing → Parity Validation

Fault tolerance & multi-region resilience

Replication factor with ISR quorum
Partition rebalancing without data loss
Backpressure handling during traffic bursts
Rolling upgrades without downtime
Regional failover support
Configurable retention windows

Secure by design.

Producers authenticate via mTLS and topic-level ACLs enforce tenant isolation. All data is encrypted in transit and at rest.

Enterprise-grade streaming security

Streaming backbone for deterministic infrastructure intelligence.

Kafka-powered ingestion ensures scalability, replayability, and predictable correlation behavior across hybrid environments.

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