Inter-System Bus
KafkaMessage broker that connects every application. Publish once, every interested system reacts in real time.
What is this?
Topics are streams of events. Producers publish; subscribers receive. Lag tells you how far behind a subscriber is.
How to use
- 1Filter by status to spot lagging or stopped topics.
- 2Click the eye icon to inspect partitions and retention.
- 3Use the refresh icon to replay a topic — re-deliver recent events.
Topics
6
Throughput
14k ev/s
Avg. latency
18 ms
| Topic | Subs | Rate | Lag | Status | |
|---|---|---|---|---|---|
puhh.harvest.declared Setiap deklarasi tebangan baru dari sistem PUHH. | 4 | 1.2k/s | 0 ms | healthy | |
sipuhh.shipment.created Pengiriman kayu yang dibuat di SIPUHH. | 6 | 840/s | 12 ms | healthy | |
silk.audit.completed Audit SILK selesai dijalankan. | 3 | 22/s | 8 ms | healthy | |
ews.alert.raised Peringatan dini baru muncul di sistem EWS. | 8 | 9/min | 0 ms | healthy | |
rku.permit.expiring Izin RKU akan kedaluwarsa dalam 30 hari. | 5 | 3/min | 412 ms | lagging | |
doc.extraction.completed Ekstraksi dokumen oleh AI selesai. | 4 | 180/s | 0 ms | healthy |