**Request Status:** New Request
**Request Type:** Infrastructure Request
**Request Title:** //K8 DSE Kubernetes Cluster//
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- **Request Description:**
This project was originally doing by the codename of the //Train Wing// cluster and it was proposed by the #machine-learning-team
, I believe.
We in the #data-engineering team have ~~muscled in on~~ //offered to help with// this project and we will be moving forward with building the cluster.
It has now been renamed the **DSE** cluster, so that it is clear that it is to be a natural home for Data Science, Engineering (plus Machine Learning and Analytics) workloads.
Some key use cases include
* Host the Data Warehouse & Enable trusted datasets.
* Provide a place to
host & register Data-Team Applications
* the ability to provide `S3` and/or Swift compatible object storage as a back-end for analytics and similar workloads
In this phase we are only looking at building this platform in eqiad, although we should always consider how it would scale to a multi-DC and/or cross-DC design.
- **Indicate Priority Level:** High
- **Main Requestors:** Data Engineering,
- **Ideal Delivery Date:** Q1 of the 2022/2023 financial year,
- **Stakeholders:** Data Engineering, Machine Learning, Platform Engineering
**Request Documentation**
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|**Document Type**| **Required?** | **Document/Link** |
| **Related PHAB Tickets** | Yes | <https://phabricator.wikimedia.org/T310195> |
| **Product One Pager** | Yes |<add link here> |
| **Product Requirements Document (PRD)** | No | <add link here> |
| **Product Roadmap** | No | <add link here> |
| **Product Planning/Business Case** | No |<add link here> |
| **Product Brief** | No | <add link here> |
| **Design Doc** | Yes |<https://docs.google.com/presentation/d/1VCLvQUONHp7u5TCKp4wUe_9wb8NSxiSP66ZCyP9g8YM/edit#slide=id.g11db38a9ab1_0_2> |