SITE RELIABILITY ENGINEERING

Sleep easier knowing your services are constantly being watched and remediated by your AI copilot. Sedai proactively handles potential microservice issues like CPU or memory shortages. Meet >99.9% uptime levels and reduce compute-related Failed Customer Interactions (FCIs) by up to 50%.

AI is a game-changer for optimizing cloud costs because it learns how your application behaves in production. Achieve compute cost savings of 30-50% through workload & infrastructure rightsizing, purchasing optimizations and traffic prediction models that outperform traditional auto-scaling rules.

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.

Sedai autonomously identifies and executes optimizations & remediations, freeing up valuable time and resources while providing timely alerts for abnormal issues where human experts excel. SREs can be 6x more productive in optimization and remediation tasks.

Developers constantly ship new functionality. Get automatic release scorecards for every new release showing latency, cost, and errors in production traffic, compared to prior releases. Use those insights to improve release quality, make quick rollback decisions when needed, and close the loop with developers.

Sedai helps you set SLO goals based on analysis of past performance down to a microservice level. Sedai also tracks performance against SLOs and records SLO breaches.