feat(observability): add the Scrabble — Messages Grafana dashboard
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Visualises the chat read-receipt metrics added with the read-receipt feature
(the dashboard was deferred there per the owner): posted rate by kind, the
unread backlog (chat_unread_messages gauge), and the publish-to-read latency
(chat_read_duration — average by kind plus overall p50/p95). Mirrors the
game-domain dashboard's structure; the file provider auto-discovers it.
This commit is contained in:
Ilia Denisov
2026-06-17 12:00:58 +02:00
parent b71f006ddf
commit c3b3cafcdd
3 changed files with 50 additions and 2 deletions
+47
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{
"uid": "scrabble-messages",
"title": "Scrabble — Messages",
"tags": ["scrabble"],
"timezone": "",
"schemaVersion": 39,
"version": 1,
"refresh": "30s",
"time": { "from": "now-24h", "to": "now" },
"panels": [
{
"type": "timeseries",
"title": "Chat entries posted (rate by kind)",
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 },
"datasource": { "type": "prometheus", "uid": "prometheus" },
"targets": [{ "refId": "A", "expr": "sum(rate(chat_messages_total[15m])) by (kind)", "legendFormat": "{{kind}}" }]
},
{
"type": "timeseries",
"title": "Unread chat entries (backlog)",
"description": "Chat entries with at least one recipient seat that has not read them yet (chat_unread_messages gauge).",
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 },
"datasource": { "type": "prometheus", "uid": "prometheus" },
"targets": [{ "refId": "A", "expr": "sum(chat_unread_messages)", "legendFormat": "unread" }]
},
{
"type": "timeseries",
"title": "Publish → read latency (avg by kind)",
"description": "Mean time from a chat entry being posted to a recipient reading it (move-history / chat open, or a nudge answered by moving). A born-read message to a robot records no read, so it does not enter this average.",
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 8 },
"fieldConfig": { "defaults": { "unit": "s" }, "overrides": [] },
"datasource": { "type": "prometheus", "uid": "prometheus" },
"targets": [{ "refId": "A", "expr": "sum(rate(chat_read_duration_sum[15m])) by (kind) / sum(rate(chat_read_duration_count[15m])) by (kind)", "legendFormat": "{{kind}}" }]
},
{
"type": "timeseries",
"title": "Publish → read latency (p50 / p95)",
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 8 },
"fieldConfig": { "defaults": { "unit": "s" }, "overrides": [] },
"datasource": { "type": "prometheus", "uid": "prometheus" },
"targets": [
{ "refId": "A", "expr": "histogram_quantile(0.5, sum(rate(chat_read_duration_bucket[15m])) by (le))", "legendFormat": "p50" },
{ "refId": "B", "expr": "histogram_quantile(0.95, sum(rate(chat_read_duration_bucket[15m])) by (le))", "legendFormat": "p95" }
]
}
]
}