Posthog Session Replay Portable
1. What "Portable" Means in this Context
By default, session replays are stored in PostHog’s cloud (or your self-hosted instance) and viewed in their UI. Making them "portable" implies:
- Data Ownership: You can extract the raw data and store it elsewhere (e.g., your own S3 bucket).
- Decoupled Viewing: You can view the replay without needing active access to the PostHog dashboard.
- Long-term Archival: Storing replays for longer than the standard retention period without paying extra storage fees.
Part 6: Portability vs. Privacy
A quick note on legal compliance. Portability sounds amazing, but with great power comes great responsibility.
When you make your session replays portable (e.g., dumping them into a public S3 bucket or a data lake), you risk exposing PII (Personally Identifiable Information).
Best Practices for Portable Replays:
- Always enable
mask_all_textin the PostHog SDK before capturing. - Use PostHog’s "Data Scrubbing" feature to remove inputs and CSS classes containing emails/phone numbers before exporting.
- Encrypt your S3 buckets with KMS keys. You want portability, not public access.
If you export raw, unmasked replays to a data warehouse, every engineer with SQL access will be able to read your users' passwords (if not hashed client-side—use mask_all_text).
Operational Concerns
- Cost: store diffs rather than full DOM frequently; use object lifecycle rules to expire old replays.
- GDPR/CCPA: provide delete API to remove sessions; honor do-not-track and cookie-less operation.
- Monitoring: ingest metrics (rate, error, payload sizes) and alert on high failure rates.
⚠️ Trade-offs & Considerations
-
Self-Hosting Complexity
Running PostHog (including replay storage) requires managing ClickHouse, Kafka, and Redis. Their Helm chart and Docker Compose help, but it’s heavier than a SaaS-only tool. -
Performance Overhead
Recording canvas/WebGL or long-lived DOM mutations can be heavier than Hotjar’s lightweight snapshots. You’ll need to tune sampling and masking rules. posthog session replay portable -
UI/UX Not as Polished
Replay player is functional but lacks FullStory’s “rage clicks” auto-detection, friction scores, or advanced search by DOM attributes. -
Mobile Replay Limitations
iOS/Android replay is possible but less mature (requires manual instrumentation for screen recording). Web is the primary strength.
2. The Data Warehouse Integration (Reverse ETL)
PostHog allows you to export raw session replay events directly to Snowflake, BigQuery, or Redshift. Unlike other tools that give you aggregated CSV exports, PostHog streams the raw clickmap, mouse activity, and console logs into your warehouse. Data Ownership: You can extract the raw data
- The Portable Result: Your Data Analysts can now write SQL joins between
posthog.session_replay_eventsandstripe.payments. You can finally answer: "Do users who open the console (developer errors) churn at a higher rate?"
Use cases
- Bug reproduction for remote teams and offline debugging
- Inclusion in issue trackers (attach portable replay ZIP to bug)
- UX research: share anonymized sessions with stakeholders
- Archival: store sessions for audits or longitudinal studies
Step 2: Configure posthog-js for Raw Capture
Ensure you are not truncating data. In your posthog.init, set:
posthog.init('phc_xxx',
capture_performance: true,
capture_console_logs: true, // Crucial for debugging portability
session_recording:
maskAllInputs: false, // Toggle based on PII needs
recordCrossOriginIframes: false
);
Final Checklist for Your Team
- ✅ Do you need to keep session data for more than 3 months? Go Portable (Self-Host).
- ✅ Do you need to join session clicks with revenue data? Go Portable (Warehouse Export).
- ✅ Do you operate in a high-compliance industry (Finance/Health)? Go Portable (API Delete).
Stop letting your analytics hold your product hostage. Start making your Session Replay portable with PostHog.
Ready to take control? Clone the PostHog repository or sign up for PostHog Cloud (with free 1M events/month) and turn on Session Replay today. Your data should be yours. Part 6: Portability vs