Your customer support and engineering teams likely spend their days in internal tools like Zendesk, Retool, or custom admin portals. Instead of forcing them to log into PostHog to see what went wrong, a portable architecture lets you embed and render PostHog replays directly inside your existing internal workflows. How PostHog Session Replay Works Under the Hood
Define clear automated schedules for your data. For example, keep rich session replays in PostHog Cloud for 30 days for immediate engineering triage. Use a data pipeline to export those replays to AWS S3 Glacier or Google Cloud Storage Coldline for a 180-day compliance window, after which they are permanently purged. Conclusion
Playback UI
You can liberate your replay data from the PostHog platform using these primary methods:
Because this data is entirely text-based and structured, it is highly compressible, queryable, and inherently portable. Technical Roadmap to Exporting PostHog Replays posthog session replay portable
Equip your QA team with a portable build of your application that automatically captures and saves session replays directly to an internal server during testing cycles.
Mastering User Insights Anywhere: The Ultimate Guide to PostHog Session Replay Portable Your customer support and engineering teams likely spend
[User Browser] │ ▼ (Captures DOM Mutations via rrweb) [PostHog SDK] │ ▼ (Compressed JSON payloads via HTTP) [PostHog Ingestion Pipeline] │ ▼ (Structured Storage) [ClickHouse / S3 Object Storage] The Role of rrweb
Support agents can view the exact customer journey leading up to a bug report directly inside Zendesk, Intercom, or Salesforce without switching tabs. For example, keep rich session replays in PostHog