obmp-docker/obmp-churn-monitor/Dockerfile

FROM python:3.12-slim

WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY monitor.py .

CMD ["python", "-u", "monitor.py"]
Add fast-path churn monitor and churn-storm load tool obmp-churn-monitor: a decoupled fast-path BGP churn consumer. Reads openbmp.parsed.unicast_prefix with its own Kafka consumer group and only counts announcements/withdrawals per (router,peer) into churn_metrics (010_churn_metrics.sql) -- no relational RIB write. Storm-tested: it stayed real-time (tracked 1k->85k msg/s) while the psql-app bulk pipeline lag grew 3.8M->5.6M. Live BGP Churn dashboard reads it. tools/churn_storm.py: programmatic churn-storm generator (flaps GoBGP's eBGP sessions to the lab cores) for load testing. Stress-test finding: fleet-wide full table from 18 routers exceeds this 31 GiB host. The bottleneck is RAM, not CPU -- at 16 cores the host still hit load 33 because it was swap-thrashing (swap 2/2 full, <1.5 GiB free). Lag ran away 3.8M->20M+. Recourse: more host RAM for bulk throughput; the fast-path consumer for visibility regardless. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> 2026-05-19 13:17:09 -07:00			`FROM python:3.12-slim`

			`WORKDIR /app`
			`COPY requirements.txt .`
			`RUN pip install --no-cache-dir -r requirements.txt`
			`COPY monitor.py .`

			`CMD ["python", "-u", "monitor.py"]`