Application Management
Full post-deployment dashboard for managing, monitoring, and evolving your deployed AI applications.
Application Management is the post-deployment control center for your AI application. You arrive here after clicking Move to Prod from the Deploy tab. It provides ten dedicated tabs for every aspect of running a production AI application.
1. Overview
App name, description, deployed URL, and GitHub repo link. Generate AWS WAFR Reports and Application Design Documents.
2. Agents
View and manage deployed user and platform agents. Edit model, tools, memory, and system prompt per agent.
3. App Config
Configure GitHub collaborator access, custom domains, API endpoint, channel integrations, and build history.
4. Test Bed
Live chat with deployed agents, agent activity tree for real-time orchestration, and run evaluations across up to 8 metrics.
5. App Refiner
Make AI-assisted changes to your deployed application by describing what you want in plain English.
6. Identity & Access
User access configuration and authentication settings for your deployed application.
7. Observability
Sessions, traces, latency, errors, token usage by model, and per-agent spans.
8. Compliance & Security
Security pen tests powered by AWS Security Agent, and DPO Pack generation with automated GDPR controls assessment.
9. FinOps
Daily cost trends and cost breakdown by AWS service. Cost data may take up to 24 hours to appear after deployment.
10. Settings
Application configuration, access control, blueprint catalogue, and Danger Zone for permanent teardown.
