Overview
This template provides a production‑ready Jitsu instance as a Monk runnable. You can:- Run it directly to get a managed customer data platform
- Inherit it in your own infrastructure to collect, transform, and route event data
What this template manages
- Jitsu server for event collection
- Jitsu configurator UI (optional)
- PostgreSQL for configuration storage
- Redis for event queuing
- Web UI and API
- Event transformation engine
Quick start (run directly)
- Load templates
- Run Jitsu stack
- Customize credentials (recommended via inheritance)
variables. Secrets added with monk secrets add will not affect this runnable unless you inherit it and reference those secrets.
- Preferred: inherit and replace variables with
secret("...")as shown below. - Alternative: fork/clone and edit the
variablesin the template files, thenmonk load MANIFESTand run.
- Events API:
http://localhost:8001 - Configurator UI:
http://localhost:7000
Configuration
Key variables you can customize in this template:${monk-volume-path}/jitsu on the host.
Use by inheritance (recommended for analytics)
Inherit Jitsu for event collection and routing. Example:Ports and connectivity
- Service:
jitsuon TCP port8001(Events API) - Service:
configuratoron TCP port7000(UI) - From web/mobile apps, send events to
http://\<host>:8001/api/v1/event - From other runnables in the same process group, use
connection-hostname("\<connection-name>")to resolve the Jitsu host.
Persistence and configuration
- Jitsu config:
${monk-volume-path}/jitsu/data:/home/eventnative/data - PostgreSQL data:
${monk-volume-path}/postgres:/var/lib/postgresql/data - Redis data:
${monk-volume-path}/redis:/data
Features
- Event Collection: JavaScript SDK, HTTP API, and server-side libraries
- Transformations: Transform events with JavaScript functions
- Destinations: Send to 20+ destinations (BigQuery, Redshift, Snowflake, etc.)
- Schema Mapping: Map events to destination schemas
- Real-Time: Stream events to destinations in real-time
- Batching: Batch events for efficiency
- User Identification: Merge anonymous and identified users
- Privacy: GDPR-compliant, self-hosted data
Event Collection
JavaScript SDK example:Destinations
Jitsu supports:- Data Warehouses: BigQuery, Redshift, Snowflake, ClickHouse
- Databases: PostgreSQL, MySQL
- Analytics: Google Analytics, Amplitude, Mixpanel
- Marketing: Facebook Ads, Google Ads
- Webhooks: Custom HTTP endpoints
Use cases
Jitsu excels at:- Product analytics data collection
- Customer data platform (CDP)
- Event streaming to data warehouses
- Multi-destination event routing
- Privacy-compliant analytics
- Segment replacement for self-hosted needs
Related templates
- Combine with monitoring tools (e.g.,
prometheus-grafana/) for observability - See other templates in this repository for complementary services
Troubleshooting
- Access configurator UI at
http://localhost:7000 - Test event ingestion:
- Check logs:
- For missing events, check Redis queue and destination configs
- Verify destination credentials in configurator UI
- Monitor PostgreSQL for configuration issues
- Check transformation functions for errors
- Ensure host volumes are writable by container users