Data Insights Platform 1.0
> Note, this is a broader epic to track the development of the Data Insights Platform towards a v1.0 implementation running in production. We also carve-out subsets of necessary features into quarter-specific sub-epics and track them individually.
>> Update: This is now applicable with Data Insights Platform powering Usage Billing on `.com`.

### FY26Q1
With a [first implementation of the Data Insights Platform](https://gitlab.com/groups/gitlab-org/architecture/gitlab-data-analytics/-/epics/5#note_2303202230) delivered in FY26 Q1, this epic tracks further work to ensure the Platform can scale as needed and be well-integrated within GitLab.
As we learn more & mature our early implementation(s) to ensure scalability & reliability around ingesting, processing & querying necessary data, the following deliverables were/are tracked with their timelines:
### FY26 Q2
* First implementation of data anonymisation/pseudoanonymisation. ~"workflow::complete"
* Prototype data querying capabilities within the platform. ~"workflow::complete"
* Repeatable testing/staging deployments of the Platform. ~"workflow::complete"
* Performance/scale testing. ~"workflow::complete"
* Sharding incoming data across multiple NATS streams for scalability. ~"workflow::complete"
* Instrumentation to allow monitoring key user-journeys. ~"workflow::complete"
### FY26 Q3/Q4
* Onboard and/or empower our first use-case in production - [Usage Billing](https://gitlab.com/groups/gitlab-org/analytics-section/-/epics/14). ~"workflow::complete"
* Complete production readiness for Usage Billing + NATS. ~"workflow::complete"
* Complete production readiness for Usage Billing + Data Insights Platform. ~"workflow::complete"
* Develop Siphon producer-only deployments. ~"workflow::in dev"
### FY27 Q1 - potentially DIP 2.0
* [Use Data Insights Platform to ingest Snowplow data into S3 for consumption from Snowflake](https://gitlab.com/groups/gitlab-org/architecture/gitlab-data-analytics/-/work_items/10).
* Potential integrations with Data Catalog during data enrichment.
* Further develop data querying capabilities within Query API.
* Export Siphon-ingested data in Iceberg format.
### Deferred for now
* Adding support for ingesting `CloudEvents` for general purpose events.
epic