Autonomously optimize modern applications for cost, performance and availability

The growth of modern microservice and serverless applications and rapid release cycles make yesterday’s manual and rule based approaches to cost & performance optimization and remediation redundant. Sedai provides an AI-powered autonomous optimization platform that applies machine learning to uncover and execute on cost, performance, and availability improvements. Organizations can reduce cloud cost by up to 50%, improve performance by up to 75%, reduce failed customer interactions (FCIs) by 75%, and multiply SRE productivity by up to 6X. Sedai integrates with PagerDuty so that any Sedai notification can be connected to PagerDuty and generate a new service event so teams have full visibility of the actions their AI co-pilot is performing and issues being uncovered.