Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Enterprise Azure OpenAI Hub - observability, logging, and threat detection #19

Open
krnese opened this issue Feb 16, 2024 · 0 comments
Open

Enterprise Azure OpenAI Hub - observability, logging, and threat detection #19

krnese opened this issue Feb 16, 2024 · 0 comments
Assignees
@esbran
Labels
adoption and acceleration documentation Improvements or additions to documentation engineering enhancement New feature or request

Comments

@krnese
Copy link
Collaborator

krnese commented Feb 16, 2024

Goal state

Provide an opinionated view and implementation of the e2e observability pattern that would help organisations to truly 'turn on the light' for their AI usage in Azure.

All services provides option to enable logging and threat detection (via Diagnostic Settings) as part of the deployment, and we should investigate the value-add by exploring:

  • AzMonitor Workbook for the scenarios
  • Curated alerts ant notification mechanisms of what is vital and critical
  • Open to other creative ideas :-)
@krnese krnese added documentation Improvements or additions to documentation enhancement New feature or request engineering adoption and acceleration labels Feb 16, 2024
@krnese krnese changed the title AI hub observability Enterprise Azure OpenAI Hub - observability, logging, and threat detection Mar 4, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@esbran esbran

Labels
adoption and acceleration documentation Improvements or additions to documentation engineering enhancement New feature or request
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@krnese @esbran