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EDL Internal #9

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75 changes: 75 additions & 0 deletions edl-request-622_2026.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,75 @@
template_date: 2026-06-22
template_version: 1.0.6
basic:
date: 2026-06-22
version: 1.0.0
contact_info:
- name: Falyn Donaldson
division: ADSD
mail: falyn.destinee.donaldson@census.gov
- name: Megha Singal
division: ADSD
mail: megha.singal@census.gov
configuration_completed:

bedrock_information:
company_name: U.S. Census Bureau
website_url: https://census.gov/
industry: Government
intended_users:
internal_employees: true
external_user: false
use_case_description: |
The Enterprise Data Lake (EDL) platform team is requesting access to Amazon Bedrock inference
profiles to support the development of AI-assisted internal tooling for EDL platform engineers
and tenant-facing workflows.
bedrock_models:
- anthropic.claude-4-5-sonnet

federal_standards_information:
id:
project_name: EDL
project_summary: |
The Enterprise Data Lake (EDL) is a multi-tenant AWS GovCloud platform managed by the Census Bureau's ADSD division, currently supporting many tenant accounts across survey, demographic, and administrative data programs. This request supports the development of LLM-powered internal tooling to improve
platform engineer productivity.
development_stage: active
data_sensitivity: Description
- no title data
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dms_project_NUMBER: null
cms_project_NUMBER: null
dates:
start_date: null
end_date: null

deployment_details:
crf_number: null
finops_project_NUMBER: NUMBER
finops_project_name: NAME
csam_id: NUMBER
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accounts:
- account_id: 001512438200
account_alias: edl-core-common-ew
regions:
- us-gov-west-1
environment: common
commercial_account_id: ID
commercial_account_alias: ALIAS
- account_id: 001476713248
account_alias: edl-core-dev-gov
regions:
- us-gov-west-1
environment: dev
commercial_account_id: ID
commercial_account_alias: ALIAS
- account_id: 001492762077
account_alias: edl-core-nonprod-gov
regions:
- us-gov-west-1
environment: ite
commercial_account_id: ID
commercial_account_alias: ALIAS

history:
- date: YYYYMMDD
comment: NOTES
75 changes: 75 additions & 0 deletions requests/edl-request-622_2026.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,75 @@
template_date: 2026-06-22
template_version: 1.0.6
basic:
date: 2026-06-22
version: 1.0.0
contact_info:
- name: Falyn Donaldson
division: ADSD
mail: falyn.destinee.donaldson@census.gov
- name: Megha Singal
division: ADSD
mail: megha.singal@census.gov
configuration_completed:

bedrock_information:
company_name: U.S. Census Bureau
website_url: https://census.gov/
industry: Government
intended_users:
internal_employees: true
external_user: false
use_case_description: |
The Enterprise Data Lake (EDL) platform team is requesting access to Amazon Bedrock inference
profiles to support the development of AI-assisted internal tooling for EDL platform engineers
and tenant-facing workflows.
bedrock_models:
- anthropic.claude-4-5-sonnet

federal_standards_information:
id:
project_name: EDL
project_summary: |
The Enterprise Data Lake (EDL) is a multi-tenant AWS GovCloud platform managed by the Census Bureau's ADSD division, currently supporting many tenant accounts across survey, demographic, and administrative data programs. This request supports the development of LLM-powered internal tooling to improve
platform engineer productivity.
development_stage: active
data_sensitivity: Description
- no title data
dms_project_NUMBER: null
cms_project_NUMBER: null
dates:
start_date: null
end_date: null

deployment_details:
crf_number: null
finops_project_NUMBER: NUMBER
finops_project_name: NAME
csam_id: NUMBER
accounts:
- account_id: 001512438200
account_alias: edl-core-common-gov
regions:
- us-gov-west-1
environment: common
commercial_account_id: ID
commercial_account_alias: ALIAS
- account_id: 001476713248
account_alias: edl-core-dev-gov
regions:
- us-gov-west-1
environment: dev
commercial_account_id: ID
commercial_account_alias: ALIAS
- account_id: 001492762077
account_alias: edl-core-nonprod-gov
regions:
- us-gov-west-1
environment: ite
commercial_account_id: ID
commercial_account_alias: ALIAS

history:
- date: YYYYMMDD
comment: NOTES