Sedai applies machine learning to uncover cost & performance 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 teams.

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.

Setting up comprehensive SLOs can be a large organizational exercise. Sedai helps your teams choose SLOs automatically based on past performance of their apps (or set manually when needed). Teams can watch actual vs target performance through Sedai and get alerts when thresholds are breached.