For high-volume needs, PostHog supports batch exports to external storage destinations like S3 , Postgres , or Snowflake . Portable Deployment (Self-Hosting)
For developers building desktop software, local-first web apps, or applications running in highly secure, air-gapped environments, a standard cloud setup will not work. You need a —one that can capture, store, and potentially view user sessions entirely offline or within a localized infrastructure.
A standard PostHog implementation sends data packets over HTTPS to ://posthog.com or a dedicated self-hosted instance in the cloud. Making this architecture portable—meaning it can run locally on a machine or within an isolated network—unlocks several critical use cases: posthog session replay portable
A baseline blueprint of the DOM structure at the start of the recording.
Ultimately, portability is not just about avoiding lock-in. It's about realizing the full potential of your user data. It's about connecting the dots between a user's frustrated clicks and a failed API call in your logs. It's about giving your data team the freedom to ask new questions with old data. PostHog's architecture gives you the tools to do exactly that, putting the power of portable session replay directly in your hands. For high-volume needs, PostHog supports batch exports to
What (like React, Vue, or vanilla JS) does your application use?
You can even write a simple Node script that converts the JSON snapshots into an HTML file. Double-click that file on a disconnected laptop, and you will see a perfect pixel-for-pixel replay of your customer’s journey. A standard PostHog implementation sends data packets over
Posthog Session Replay is a feature that allows you to record and replay user sessions on your website or application. This feature provides a visual representation of how users interact with your product, allowing you to gain a deeper understanding of their behavior.
All recordings are stored directly in your own ClickHouse and object storage (S3), giving you direct access to the raw data files.
Which (e.g., AWS S3, BigQuery, Snowflake) do you currently use?