Telecom Network Fault Correlation & Ticket Routing Automation
A production-focused engineering reference for turning raw network telemetry into routed, SLA-aligned incidents.
🌐 Read it at faultcorrelation.org »
faultcorrelation.org is a deep, hands-on reference for the engineers who keep carrier networks running. It documents the full automation pipeline — from SNMP, syslog, and streaming telemetry ingestion, through deterministic correlation and topology-aware root-cause analysis, to automated, deduplicated, SLA-aligned ticket routing into ServiceNow, Jira, and Remedy.
Every page pairs architectural reasoning with runnable, production-grade Python — async asyncio pipelines, Pydantic V2 validation, and concrete numbers for the metrics operations teams actually live by (MTTA, MTTR, p99 latency, false-positive rate). No hand-waving, no toy examples: the code is written to drop into a real collector or correlation service.
- NOC engineers who want to move from reactive alarm-watching to proactive, auditable automation.
- Telecom operations teams standardizing multi-vendor telemetry into one event contract.
- Python automation developers building ingestion, correlation, and ITSM integration services.
- Platform / DevOps teams who need deterministic, schema-consistent inputs before correlation can begin.
The material is organized into four connected areas, each with focused topics and step-by-step implementation guides:
| Area | What it covers |
|---|---|
| Core Architecture & Log Taxonomy | The reference model for ingesting, normalizing, and routing multi-vendor telemetry — event schema design, SNMP trap standardization, syslog parsing, timestamp normalization, and security boundaries. |
| Ingestion & Parsing Workflows | The high-velocity data plane — edge collection, rate limiting, streaming gNMI/gRPC collectors, async batch processing, and error categorization with dead-letter handling. |
| Fault Correlation & Rule Engines | The decision fabric — cross-source event linking, topology-aware correlation, severity scoring, temporal windowing, and threshold tuning that turn event storms into routed work items. |
| Ticket Routing & ITSM Automation | The automation handoff — ITSM ticket payloads for ServiceNow, Jira, and Remedy, SLA-tiered escalation routing, and idempotent, deduplicated incident creation. |
- Real code, not pseudocode. Async-first Python you can adapt directly, with inline commentary explaining the telecom-specific logic.
- Carrier-scale thinking. Backpressure, storm suppression, exactly-once semantics, and dead-letter strategies are treated as first-class concerns.
- Standards-grounded. References to the relevant IETF and ITU-T fault-management standards where they matter.
- Fast and accessible. A static, dependency-light site tuned for performance and WCAG 2 AA accessibility.
- Eleventy static site generator
- Hand-authored, theme-aware inline SVG diagrams
- Deployed on Cloudflare
Start with any area above, then follow the Related links at the foot of each page to move through the pipeline the way an event does — from the network edge to a routed ticket.