Sedai is an autonomous cloud management platform that uses machine learning (ML) to optimize modern applications based on container or serverless architectures. It helps teams achieve the appropriate balance of performance and cost, while reducing manual effort required to maintain complex systems. Sedai integrates with Datadog out of the box and offers a subscription to their software in the Datadog Marketplace to automatically detect and analyze Lambda instances. With this integration, users can configure Sedai to start optimizing functions with minimal configuration overhead and continuously monitor its optimization actions from within Datadog. Sedai autonomously optimizes Lambda functions for cost and performance by setting memory levels, tuning concurrency, and mitigating issues such as out-of-memory errors and timeouts. It also detects and remediates performance and availability issues in serverless function metrics, allocating more resources to resolve them. The integration with Datadog enables teams to incorporate Sedai's autonomous remediation capabilities into their existing incident response workflows, making it easier to manage cloud infrastructure deployments.