debugging-local-replay

Original🇺🇸 English
Translated

Debugs why session recordings aren't appearing in the local dev environment. Use when a developer reports that local replay ingestion isn't working, recordings aren't showing up despite /s calls, or the replay pipeline seems broken after hogli start. Covers the full local pipeline: SDK capture, Caddy proxy, capture-replay (Rust), Kafka, ingestion-sessionreplay (Node), recording-api (Node), SeaweedFS, and common failure modes like orphaned processes, stuck phrocs workers, and trigger misconfiguration.

8installs
Added on

NPX Install

npx skill4agent add posthog/skills debugging-local-replay

Debugging local session replay

When a developer says "local replay isn't working" or "recordings aren't showing up", work through these layers in order. The local replay pipeline has several moving parts and failures are usually silent.

Quick symptom guide

SymptomLikely cause
No
/s
calls in Network tab
SDK not recording — triggers, settings, or recorder script issue (Step 1)
/s
calls return 200 but no recordings in list
Ingestion pipeline broken — capture-replay, Kafka, or ingestion-sessionreplay (Steps 2-3)
Recordings listed but playback stuck on "Buffering..."
recording-api
(port 6741) not running (Step 2)
Recorder script MIME type or CORS error in consoleFrontend build stale — need
pnpm build
+
pnpm copy-scripts
(Step 1)

The local replay pipeline

text
Browser SDK  →  /s endpoint (Caddy proxy :8000)
             →  capture-replay (Rust, :3306)
             →  Kafka (session_recording_snapshot_item_events topic)
             →  ingestion-sessionreplay (Node, :6740, PLUGIN_SERVER_MODE=recordings-blob-ingestion-v2)
             →  SeaweedFS (blob storage, :8333)
             →  recording-api (Node, :6741, PLUGIN_SERVER_MODE=recording-api)
             →  Frontend
A break at any point in this chain means no recordings in the UI. The diagnostic approach is to find where the chain breaks.

Step 1 — Is the SDK even trying to record?

Ask the developer to open browser DevTools Network tab and filter for
/s
.
If no
/s
calls at all:
The SDK isn't attempting to send recording data. Investigate client-side causes:
  • Triggers configured in project settings. If URL triggers, event triggers, or linked flag triggers are set up, recording won't start until a trigger fires. This is the most common cause for developers who've been testing trigger features. Check Session replay settings in the local UI (Project settings > Session replay). Remove or adjust triggers to allow recording to start.
  • Recording disabled in project settings. Session replay may be toggled off.
  • Sample rate set too low. If
    $replay_sample_rate
    is < 1.0, sessions may be sampled out.
  • SDK not initialized with recording. Check the local app's PostHog initialization —
    session_recording
    must not be explicitly disabled.
  • Wrong PostHog host. The local app must point to
    http://localhost:8000
    (or wherever the local Caddy proxy is running).
  • Ad blocker. Even in local dev, browser extensions can block the recorder script or
    /s
    endpoint.
  • Recorder script failed to load (MIME type / CORS error). The browser console may show
    MIME type ('text/html') is not executable
    for
    posthog-recorder.js
    or a CORS error for
    lazy-recorder.js
    . This means Django is serving an HTML page (usually the login redirect) instead of the JS file — the static recorder scripts are stale or missing. See recorder script build failure.
If
/s
calls are happening with 200 responses:
The SDK is recording and capture is receiving data. The break is downstream — proceed to Step 2.
If
/s
calls are returning errors (4xx/5xx):
The capture service may be down or misconfigured. Check
capture-replay
in phrocs.

Step 2 — Are the required processes running?

Check that these phrocs processes are running and healthy. A "running" process that never produced output after
tsx watch src/index.ts
is effectively dead.

Key processes and their ports

ProcessPortWhat it does
capture-replay
3306Rust service receiving
/s
, writes to Kafka
ingestion-sessionreplay
6740Node consumer processing recordings from Kafka
recording-api
6741Node service serving replay data to the frontend
Verify with:
bash
lsof -nP -i :3306 -i :6740 -i :6741
If ports are not listening: The processes haven't started or are stuck. See common failures.
If ports are listening: The pipeline processes are running. Proceed to Step 3.

Docker dependencies

These Docker containers must be running and healthy:
ContainerPurpose
posthog-kafka-1
Message bus for recording events
posthog-db-1
Postgres for metadata
posthog-redis7-1
Redis for state
posthog-clickhouse-1
ClickHouse for session data
seaweedfs-main
Blob storage for recording data
Check with:
bash
docker ps --format "table {{.Names}}\t{{.Status}}" | grep -E "kafka|db|redis7|clickhouse|seaweed"
All should show
(healthy)
except seaweedfs which doesn't have a health check. If
seaweedfs-main
is missing, the
replay
Docker profile may not be active — check the
docker-compose
phrocs process output for
--profile replay
.

Step 3 — Is data flowing through Kafka?

If capture-replay is running and receiving
/s
calls, data should land on the
session_recording_snapshot_item_events
Kafka topic. Check the Kafka UI at
http://localhost:8080
(if the
debug_tools
intent is enabled) or use kcat:
bash
kcat -b localhost:9092 -t session_recording_snapshot_item_events -C -c 5 -e
If the topic is empty or doesn't exist: capture-replay isn't writing to Kafka. Check its phrocs logs for Kafka connection errors.
If data is on the topic but recordings don't appear: ingestion-sessionreplay isn't consuming. Check if it's stuck, crashed, or if an orphaned process is holding the consumer group (see common failures).

Step 4 — Check SeaweedFS

Ingestion writes recording blobs to SeaweedFS. Verify it's accessible:
bash
curl -s http://localhost:8333/ | head -5
The
SESSION_RECORDING_V2_S3_ENDPOINT
env var must be set correctly. In
bin/start
, this defaults to
http://seaweedfs:8333
(the Docker hostname). Host processes resolve this via Docker networking.

Common failures reference

See common failures for detailed diagnosis of:
  • Orphaned Node processes holding Kafka consumer groups
  • Processes stuck at
    bin/wait-for-docker
  • tsx watch silently swallowing crashes
  • Port conflicts between Docker and host processes
  • Cargo build lock contention on startup