Industries like healthcare (HIPAA) and finance (SOC 2) require absolute control over User Identifiable Information (PII). By making replays portable, you can capture data using PostHog, scrub PII at the edge, and route the raw event streams directly into your private, air-gapped AWS S3 buckets or local data warehouses. 2. Eliminating Vendor Lock-in and Managing Costs
Mastering User Insights Anywhere: The Ultimate Guide to PostHog Session Replay Portable
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Building a architecture frees your product analytics from the constraints of traditional cloud setups. It gives you the flexibility to debug apps offline, comply with strict data residency laws, and streamline your local development workflows. By taking advantage of PostHog's open-source DNA, you can build a resilient, secure, and fully customized session recording pipeline that works whenever and wherever your application does.
Open source (and self-hosted) session replay tools - PostHog Industries like healthcare (HIPAA) and finance (SOC 2)
This proxy intercepts the incoming /e/ (events) and /s/ (session recording) endpoints from posthog-js .
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 Eliminating Vendor Lock-in and Managing Costs Mastering User
Ensure your docker-compose.yml is configured to handle large volumes of recording data (Kafka/ClickHouse storage optimization).
Industries like healthcare (HIPAA) and finance (SOC 2) require absolute control over User Identifiable Information (PII). By making replays portable, you can capture data using PostHog, scrub PII at the edge, and route the raw event streams directly into your private, air-gapped AWS S3 buckets or local data warehouses. 2. Eliminating Vendor Lock-in and Managing Costs
Mastering User Insights Anywhere: The Ultimate Guide to PostHog Session Replay Portable
This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later.
Building a architecture frees your product analytics from the constraints of traditional cloud setups. It gives you the flexibility to debug apps offline, comply with strict data residency laws, and streamline your local development workflows. By taking advantage of PostHog's open-source DNA, you can build a resilient, secure, and fully customized session recording pipeline that works whenever and wherever your application does.
Open source (and self-hosted) session replay tools - PostHog
This proxy intercepts the incoming /e/ (events) and /s/ (session recording) endpoints from posthog-js .
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
Ensure your docker-compose.yml is configured to handle large volumes of recording data (Kafka/ClickHouse storage optimization).
