InfraDesk generates evidence-backed decision briefs for CTOs, engineering leads, and finance reviewers.
Total potential waste flagged, review-first candidates, ownership gaps, reliability risks. Subject to engineering approval â not a committed savings guarantee.
Review-first cleanup candidates with evidence: CPU utilisation, last activity, dependency check, monthly waste estimate, and confidence score.
Reliability and capacity items that need engineering attention. Cloudflare traffic spikes, Datadog alerts, ASG/EB capacity issues.
High-risk items. Production resources, CPU spikes, controller-managed environments, unclear dependencies, or ownership gaps.
Resources blocked by missing owner, environment, app, or team context. Cannot be safely reviewed without ownership.
Available after connecting OpenAI. Model spend, token usage, attribution gaps, and cost signals. Never mixes with AWS waste totals.
Available after connecting MongoDB Atlas. Cluster sizing, paused clusters, and data spend risk signals.
Every review, approval, dismissal, and export is recorded. Includes actor, timestamp, risk level, evidence snapshot, and approved actions.
Important: All savings figures in decision briefs are estimates based on current usage patterns. Actual savings depend on workload behaviour after approved actions. InfraDesk does not guarantee savings or claim automatic optimisation.