How to Build a Lightweight Network SLA Monitoring Platform with Python
Network visibility isn’t just a nice-to-have; it’s essential for keeping operations running smoothly
Tools:Python 3FastAPITimescaleDB
Project Series Hub•4 Parts
Lightweight Network SLA Monitoring Platform (LNMP)
This multi-part lab project is structured as a sequential series. Follow each part step-by-step to build a complete system or perform full-spectrum threat analysis.
Sequential Roadmap:
Part 1:How to Build a Lightweight Network SLA Monitoring Platform with PythonPart 2:Building LNMP v1.5: Adaptive Baselines, Differential RCA, and Topology EnginePart 3:Building LNMP v2.0: Sugiyama DAG Topology, TimescaleDB Compression, and Session SecurityPart 4:Building LNMP v3.0: Enterprise Architecture, Real-Time SSE Streams, and Dual-Driver Storage
Project Parts Breakdown
Building LNMP v1.5: Adaptive Baselines, Differential RCA, and Topology Engine
How we upgraded the Lightweight Network Monitoring Platform with TimescaleDB continuous aggregates, pure-Python FHRP inspection, Differential RCA, and an in-memory DAG topology engine.
Tools:Python 3FastAPITimescaleDB+2 more
Building LNMP v2.0: Sugiyama DAG Topology, TimescaleDB Compression, and Session Security
How production multi-user deployments led to LNMP v2.0: implementing a 4-phase Sugiyama topology engine, TimescaleDB compression, top-of-minute write semaphores, and solving in-memory authentication deadlocks.
Tools:Python 3FastAPITimescaleDB+2 more
Building LNMP v3.0: Enterprise Architecture, Real-Time SSE Streams, and Dual-Driver Storage
How production scaling and improved Python architectural practices led to LNMP v3.0: deterministic 32s/28s sweeper concurrency, typed SQLAlchemy 2.0 repositories, Server-Sent Events, dual PostgreSQL/Redis storage, and multi-protocol synthetics.
Tools:Python 3FastAPISQLAlchemy 2.0+4 more