2 Commits

Author SHA1 Message Date
sam
ef932fe1e8 Dashboard QoL: fill the viewport, push legends to bottom
Two recurring layout issues across dashboards I built this session:

  1) Right-placed legend tables ate 30% of each panel width.
  2) Default h:9 panels left ~50% of the viewport empty on a 1080p
     display (total dashboard height ~18 grid rows vs ~30 available).

Stack Resources (Telemetry-3001/stack_resources.json):
  * 3 timeseries: legend placement right -> bottom, calcs [max] -> [last,max],
    added sortBy: Max desc so top consumers float to the top of the legend.
  * Bumped all 4 panels h: 9 -> 14 (dashboard total 18 -> 28 rows).

Kafka Ingestion Lag and Live BGP Churn (Telemetry-3001/*):
  * Bumped timeseries panels h: 9 -> 12; second-row y: 13 -> 16.
    Dashboard total 22 -> 28 rows.

Policy Diff (obmp/History-1002/policy_diff.json):
  * Bumped bottom-row panels h: 8 -> 11. Total 24 -> 27 rows.

Untouched (already adequate, scrollable by design, or built earlier):
  evpn_rib (30 rows), global_table (38), router_diff (52), and the
  Maps-1006 dashboards (already h:22-28 single panels).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-19 19:58:33 -07:00
sam
b681c473c0 Add Policy Diff, fleet-wide full-table feed, and Kafka lag monitoring
Policy Diff (roadmap E2 follow-up): obmp-rib-poller pulls per-router
post-policy accepted/advertised prefix counts and route-policy bindings
over CLI+NETCONF (BMP on XRv9000 24.3.1 carries only pre-policy
Adj-RIB-In). New tables in 008_obmp_policy_diff.sql; Policy Diff
dashboard joins them against BMP ip_rib for received-vs-kept-vs-rejected.

GoBGP fleet-wide feed: GoBGP re-advertises the full Bromirski table to
both labs' core routers (CML AS65020, PROX AS65021) over eBGP; as route
reflectors the cores propagate it to every R9K client, so all 18 lab
routers carry and BMP-export a full table -- an intentional stress test
of the ingestion/storage path. cml/gobgp_peering_config.py applies and
rolls back the core-side config; gobgp/README.md documents the rollback.

Kafka lag monitoring: kafka-lag-monitor samples consumer-group lag every
30s into TimescaleDB (009_kafka_lag.sql); Kafka Ingestion Lag dashboard
gives visibility into the pipeline under churn load.

Peer Detail dashboard: the Peer selector is now router-qualified
(router -> peer) so it is unambiguous in an iBGP route-reflector mesh.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-19 12:42:25 -07:00