Posthog Session Replay Portable
This article covers how PostHog session replay works, why you might need portability, and the technical methods to achieve it. Why Teams Need Portable Session Replays
Data Pipelines: PostHog allows you to export events to S3, BigQuery, or Snowflake. While this doesn't export a "video file," it secures the underlying data that powers the replay.
Support agents can view the exact customer journey leading up to a bug report directly inside Zendesk, Intercom, or Salesforce without switching tabs. posthog session replay portable
To handle data when the central cloud isn't accessible, deploy a lightweight proxy (such as a Node.js Express server, Nginx instance, or Go daemon) alongside your application or on your local network.
Session replay has transformed how product teams, developers, and growth marketers understand user behavior. By capturing and replaying exact user sessions, you can pinpoint UI friction, debug complex frontend errors, and optimize conversion funnels. This article covers how PostHog session replay works,
Support agents can watch a user's exact steps directly inside tools like Zendesk, Salesforce, or Intercom without switching tabs.
A "portable" PostHog session replay setup refers to deploying PostHog’s recording capabilities outside of its standard cloud-hosted environment. Because PostHog was built from the ground up as an open-source platform, its core recording libraries ( posthog-js ) and ingestion pipelines can be adapted to run in diverse environments. A portable configuration typically involves: Support agents can view the exact customer journey
To understand portability, you must understand how PostHog records data. PostHog does not record actual video files like MP4s. True video recording would consume too much user bandwidth and server storage. Instead, PostHog uses (record and replay the web).
: Security teams working in isolated networks or restricted intranets cannot stream cloud media player links. Portable files can be moved securely via local media or internal file-shares.