ci: use smaller (nanoserver) mongodb image on Windows

[aneojgurhem]

Motivation

The MongoDB image used on Windows CI runners was already OS-aware but was based on Windows Server Core, which is a large image. Switching to the nanoserver variant reduces image size and speeds up CI on Windows runners.

Description

Updates the TF_VAR_database_image variable in the justfile to select mongo:nanoserver instead of the previous Windows Server Core-based MongoDB image when running on Windows. The Linux path continues to use the standard mongo image unchanged.

Testing

Validated via the CI pipeline on Windows runners. No new unit tests are required as this is a CI/infrastructure configuration change.

Impact

• Configuration: No impact on end users or production deployments.
• Dependencies: No new dependencies; mongo:nanoserver is an official MongoDB image variant.
• Performance: Smaller image size on Windows CI runners reduces pull time and disk usage.
• Behaviour: No functional change — the same MongoDB version is used, just with a smaller Windows base image.

Additional Information

No changes to Terraform module files were needed.

Checklist

• My code adheres to the coding and style guidelines of the project.
• I have performed a self-review of my code.
• I have commented my code, particularly in hard-to-understand areas.
• I have made corresponding changes to the documentation.
• I have thoroughly tested my modifications and added tests when necessary.
• Tests pass locally and in the CI.
• I have assessed the performance impact of my modifications.

[github-actions]

🔍 Vulnerabilities of dockerhubaneo/armonik_control:0.38.1-jgmongoci.5.sha.97603b88

📦 Image Reference dockerhubaneo/armonik_control:0.38.1-jgmongoci.5.sha.97603b88

digest	sha256:e94bd08194d7a2704c15208eb2d94a395a3ad475a31436a41175ee11c2be0b8f
vulnerabilities
platform	linux/amd64
size	74 MB
packages	121

[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud