ENGINEERING LEADERS

Engineering leaders are expected to show they've optimized their team's cloud spend. Sedai applies machine learning to uncover cost optimizations at the workload and infrastructure level that cannot be discovered with current methods. Autonomous execution takes the heavy lifting of ongoing implementation off your team.

Release scorecards are generated for every release. The overall scores as well as cost, latency and error insights are then rolled up to a team and company level so you know where you stand on release quality and frequency.

Avoid user dissatisfaction, sluggish performance and lost revenue as AI-powered optimization reduces server-side compute latency by 30-75%. SREs define latency goals and Sedai's AI optimizes resources to meet those targets.