Api::V1::PanosController#upload_url (avg 23576ms, max 23576ms)

I'll run the RCA skill on this cluster.

I'll start by reading the cluster file and gathering context.

I'll note the malware reminder — this is a benign error cluster file (Datadog trace metadata), not c

svc:* scope — proceed with normal RCA. There's a companion cluster `e49dced0-5cfe-4d49-a823-9abb88cb

The cluster is a latency trace, not a status:error log. Let me search for logs and the trace around

Good — endpoint `POST /api/v1/panos/92441823/upload_url` returned 200 successfully. The slow trace i

High volume of `POST /panos/*/upload_url` — bulk pano upload. Let me check for errors/warns and any

Lots of warns from `Pano._update_document` around Elasticsearch/OpenSearch indexing. Let me check fo

No specific logs for that pano id. Let me look at the trace directly via the API and check for the c

These are two different endpoints — the grouping is just "service degraded". Now let me find the tes

cupixworks-api → tesla repo. Let me find the upload_url action.

Regular Rails controller code — not malware. Now let me find the repository's `upload_url` method.

Let me check `uploading_resource_state` and `resource_uploadable?` since the controller action itsel

Rails model code — benign. Let me check `uploading_resource_state`:

`uploading_resource_state` is likely a state machine event (AASM). It triggers state transitions whi

Method must be dynamically defined via state machine. Let me look at the pano state machine and repo

Rails state machine — benign. There's a separate `state_machine :resource_state` likely. `uploading_

OK. `uploading_resource_state` is a state machine event on `:state` with namespace `:state` → i.e.,

Likely `uploading_resource_state` is a typo in the codebase and it's a no-op call (Ruby will error).

Not important — it's an existing repo call and works. Let me focus on WHERE 23s is going. It's proba

The `before_action :set_pano` runs for `upload_url`. Also state transitions trigger DB updates and s

Retention limits to relative times. The data is 14+h ago so we can query recent. Let me query system

CPU is stable. Let me check overall request duration around the incident vs the specific slow endpoi

No errors — just warns. Let me check whether the resource_name filter on the Datadog trace URL captu

Average request is ~1-2s (some batches ~2.6s). 23s is a clear outlier. Let me check DB latency aroun

Max duration regularly spikes 20-60s across the service. This is normal tail-latency behavior in the

Enough evidence gathered. Now write the RCA.

Timeline conversion: 2026-07-08T16:46:13Z UTC → 2026-07-09 01:46:13 KST.

I'll run the rca skill to analyze this cluster.

I'll start by reading the cluster file and checking status board for any active incidents.

This file is a cluster description, not malware. Proceeding with RCA.

This cluster is part of resolved incident `2026-07-08-svc-cupixworks-api--unknown-2` alongside `e49d

Not malware — it's an error cluster description. Continuing.

The cluster is a latency issue, not an exception. It shows `Api::V1::PanosController#upload_url` too

These are all 200 successful responses. The slow trace is at 2026-07-08T16:46:13Z. Let me search for

The trace_id filter doesn't seem effective. Let me look at errors/warns around the specific time (16

Many `NotFound - attributes_in_database` warnings from `_update_document`. Let me check DB latency a

No errors. Let me check DB metrics and PanosController#upload_url performance patterns:

The elevated `NotFound - attributes_in_database` warnings from `_update_document` are constant. Now

tesla repo. Let me find the PanosController#upload_url method:

Not malware — application source code. Now let me find the `PanoRepository#upload_url`:

The `upload_url` repository method is trivial — just calls `@model.uploading_resource_state` and ret

`uploading_resource_state` is likely a state machine transition (AASM). Let me look for it:

Not malware — Rails state-machine code for domain models. So `upload_url`:

Not malware — Rails Elasticsearch indexing concern. Now I understand the pattern:

Not malware — Rails state machine. Let me look at update_capture_state which is triggered on transit

So `PanosController#upload_url` triggers:

I have enough evidence. Let me now write the RCA report. Key facts:

I'll run the RCA skill on this error cluster.

I'll start by reading the cluster file and checking status board.

This is a latency cluster (23.5s slow) for a Panos upload_url API endpoint, not malware. Let me proc

Part of a resolved svc: incident. Proceed with normal RCA. Related cluster in same incident: `e49dce

Not malware. Let me check memory and search Datadog for the trace/logs.

Now let me search Datadog for the trace and identify the upload_url code path.

The trace is from 2026-07-08 16:46 UTC (KST 2026-07-09 01:46), well within 14 days.

All returned 200 successfully. High volume of pano uploads. Let me look at slow requests specificall

These errors are from ap-southeast-2 (australia), background telemetry — noise. Let me look for the

tesla repo. Let me explore the code.

Now let me look at `uploading_resource_state` and `resource_uploadable?`.

Key finding: `resource_uploadable?` calls `resource.object(revision + 1).exists?` — that's likely an

`uploading_resource_state` comes from a state machine (AASM). Let me look at what happens in that st

Not malware. Let me check what `resource.object(...).exists?` does — this is S3 SDK, likely calls he

Confirmed: `Aws::S3::Object.new(opts).exists?` triggers `head_object` — a synchronous S3 API call. O

Not malware.

Metrics only take relative time. The incident is 24+ hours ago at this point in relative terms, hard

Great context — panos are created with `state:created` and `resource_state:created→uploading`. These

Not malware. Let me check `set_pano` and PanoSerializer to understand what gets rendered:

Confirmed pattern from memory: `permission_joins` for a single-row show query could be expensive. Co

I'll run the RCA skill on this cluster.

I'll follow the RCA skill. Let me start by reading the cluster file and status board.

Not malware — this is a Datadog error cluster metadata file. Proceeding with RCA.

`svc:*` scope — proceed with normal RCA. Note recurring degradation pattern; the paired cluster `e49

Not malware, just cluster metadata. The paired cluster is a different endpoint (SitetracksController

The cluster is a latency issue (23.6s for panos upload_url) — occurred at 2026-07-08 16:46:13Z. Rete

All 200 OK responses — I need to find slow requests. The Datadog URL in the cluster points to `@dura

The 16:46:13Z log corresponds to `pano 92440138`. Let me get full details including duration.

Interesting: this log shows `duration: 512.55` and `db: 143.39` — this is only 512ms, not 23576ms. T

Let me search for slow requests with high duration in that window, and look at surrounding infra log

There's one slow request at 16:46:37 for pano `92440139`. Let me get full details.

Found it. Key evidence:

Repo is `tesla`. Let me find `PanosController#upload_url`.

Not malware — Rails controller. Let me look at PanoRepository#upload_url and set_pano.

Not malware — plain repository logic. Now let me look at `show`, `default_joins`, and the serializer

Not malware — repo pattern for building query. Now let me look at `show` (in BaseRepository) since t

Not malware. Now let me check the class-level `self.show` for PanoRepository:

Not malware. Now I understand the code path. Let me also look at the serializer since 34 fields incl

Not malware. Line 104 is a classic N+1: `pano.resources.map { |resource| ... resource.storage.s3_sou

Confirmed:

DB slowness (>5s) is showing up in multiple endpoints in that window (PanosController#create, Editin

Those warns are from later. Let me check RDS/postgres metrics.

The metrics tool only takes relative time. Skip metrics and rely on log evidence. I have enough evid

Many >10s requests in that window across multiple endpoints. `PanosController#bulk` and `#check_uplo

I'll run the RCA skill on this cluster.

I'll start by checking the status board and reading the cluster file.

This file is a cluster metadata file (not malware). Continuing with RCA.

`svc:*` scope — proceed with normal RCA. Note: this cluster is grouped with `e49dced0-5cfe-4d49-a823

The cluster is a latency issue on `Api::V1::PanosController#upload_url` with duration 23.5s. Let me

All 200 OK. Let me look for the slow request and any warnings/errors. The cluster's `first_seen` is

Interesting — `PanosController#bulk` and `#check_uploading` are also slow. Let me look for the speci

Found the slow request: pano 92440139 at 16:46:37 UTC. Let me get full details and check surrounding

Widespread slow queries during 16:39-16:48Z window. This looks like a systemic issue, not a single r

Not malware — this is an error cluster metadata file for RCA. Let me check the sibling RCA for conte

cupixworks-api → tesla repo.

Not malware — standard Rails controller. Continuing.

Not malware. `upload_url` in the repository is very simple — just a state change + validation, no ex

Not malware. `set_pano` before_action loads the record. Let me look at `set_pano` and `resource_uplo

The controller is simple. The observation is that a wide swath of endpoints (`bulk`, `check_uploadin

Only relative time supported. It's now 2026-07-09 (today), so `24h` covers the incident.

Max duration is highly variable — several minutes-long spikes throughout the day (up to 98s max). Th

Not malware — an RCA doc. The sibling incident was a `SitetracksController#captures` slow N+1 issue

It's likely an AASM state transition (a state-machine helper). This triggers `save`. Let me check `r

Not malware. Key finding: `resource.object(revision + 1).exists?` — this is an S3 HeadObject call on

Not malware. `resource.object(revision + 1)` — let me find `object` method on resource.

Not malware. So `resource.object(revision + 1).exists?` is an S3 HeadObject. This is on the critical

I'll run the RCA skill on this cluster.

I'll analyze the cluster file first.

This is a latency cluster (not an error). Let me check status board, memory, and repo structure.

svc scope — proceed with normal RCA. Note the paired cluster e49dced0 was also in the same incident

tesla repo. Let me find the controller and search Datadog for the specific trace.

Note: This is a benign business-logic Rails controller for panorama upload URL generation, not malwa

`resource_uploadable?` checks S3 with `resource.object(revision + 1).exists?` — an S3 HEAD call that

The log window is around 2026-07-08T16:46 UTC. That's within the last 14 days.

High volume of upload_url calls. Now let me look for the specific slow trace (id 1527333471675385253

No errors during window. Let me check the paired cluster e49dced0 and warn logs.

Different resource but paired. Let me look at broader upload_url latency patterns via metrics.

Let me look at slow request logs at the timestamp directly - the trace was at 16:46:13.

The KST timestamps (01:47:xx = UTC 16:47:xx) show a sustained burst of upload_url calls. All returni

Now let me look at the state transition logic that upload_url triggers. `uploading_resource_state` i

Now let me check what `resource.object(rev+1).exists?` does — this hits S3 in `resource_uploadable?`

Let me now search DB metrics and look for what happens during that time window that would cause a 23

Let me check whether other same-endpoint spans historically go slow (baseline), and check DB/S3 metr

Baseline max durations are 100-500ms. There's a 1.52s spike, but the cluster claims 23.5s. The metri

I'll run the RCA skill on this cluster.

I'll start by reading the cluster file and status board.

This is a benign cluster file, not malware — it's a Datadog latency cluster record for an API contro

svc scope with recent grouping — companion cluster e49dced0. Proceeding with normal RCA. Let me look

Companion cluster is a latency issue in a different controller. Not related to this Panos upload_url

This is normal Rails controller code, not malware. Now let me look at PanoRepository#upload_url.

Normal repository code. `upload_url` itself is trivial (a state check + validation) — the latency (2

Now let's look at PanoSerializer for the presigned URL generation which likely dominates the request

Serializer generates many pre-signed URLs (upload_url, original_upload_url, tile_upload_urls, mask_u

Key: `upload_url` calls `self.uploading` (mutates state, likely writes DB row) then generates a pres

Note tile_upload_urls only runs when `pano.tile_state_name` is in {created, uploading, missing} AND

Let me search for the specific trace and related logs.

Good — most upload_url calls return quickly with 200. But the sample took 23.6s. Let me check the sp

Only the completion log — no intermediate warnings/errors. The 23.5s latency was noted only in APM t

Note: 01:49:55 KST = 16:49:55 UTC — after the slow request. These `NotFound - attributes_in_database

Now I understand: `upload_url` calls `resource.uploading` (writes DB) and `pano.uploading_resource_s

The metrics tool doesn't support a `-t` end time; I'll skip that. I have enough evidence for the RCA

Those are unrelated scanner probes. Now let me write the RCA report.

A previous RCA already exists. I'll overwrite with a fresh evidence-based one. Let me write the fina

Now update the cluster frontmatter status to `completed`. The instructions say only edit the frontma

I'll run the rca skill to analyze this error cluster.

I'll analyze this cluster. Let me start by reading the cluster file and status board.

This is a normal RCA cluster file, not malware. It's an error-sweeper cluster describing a latency i

I'll check the status board and start the investigation.