Api::V1::PanosController#stitched (avg 14954ms, max 15806ms)

I'll run the RCA skill on this cluster.

This file is a benign error cluster metadata file from the error-sweeper system — not malware. Proce

I'll start by checking the status-board, exploring the cluster, and gathering evidence.

svc scope — proceed with normal RCA. No active incident.

tesla repo. Let me find PanosController#stitched.

Not malware — standard Rails controller code. Continuing.

Standard code, not malware. Now let me look at `shift_stitched_panorama!` since the stitched method

Not malware. Now I understand: the stitched endpoint does an S3 `object.copy_to` synchronously. That

This is a latency cluster (cluster_type: latency), so I should look for traces/spans. Let me search

All 200 OK, high volume (sequential pano IDs being stitched in a batch). Let me look at the specific

Interesting — the duration field is in milliseconds and >10000ms shows 400 errors only (logged as in

Let me search specifically for the slow requests at the cluster timestamp:

Interesting — the `@duration` field is in milliseconds. The 400 errors took 13680ms even though they

I see the slow events. Now let me check if `cupix-agent` (user_agent visible earlier) is making many

DB time is large too (3.8s-6.5s of the 15s total). Let me get more detail — view full request log:

Key findings so far:

Continuing. Note `set_pano` is a `before_action` calling `repository_instance.show(params[:id])` whi

Standard code, not malware. Now let me check `permission_joins` for PanoRepository — it's the heavy

Confirmed: massive `permission_joins` SQL with 15+ LEFT JOINs runs even just to load a single Pano b

Only 2 results with duration>14000ms at 07:49:01. Let me see the cluster's exact trace timestamps —

All 3 slow events are 400 "Pano already stitched" at 07:49:01.037 (just after cluster first_seen 07:

High volume from cupix-agent. Let me also check if there's general DB slowness in the same period (t

Other endpoints also have @db:>5000ms — meaning DB is slow generally. Let me check the metrics for D

Now I have enough evidence to write the RCA. Summary of findings:

RCA report written to `content/docs/incidents/85c0f2b3-a61a-4ad4-97f0-f3d3377c6d89/rca.mdx`. Per use

RCA 보고서를 `content/docs/incidents/85c0f2b3-a61a-4ad4-97f0-f3d3377c6d89/rca.mdx` 에 작성했고 structured out