AWS

Reducing AWS EC2 costs is essential for businesses aiming to manage cloud budgets effectively while maintaining performance and scalability. By employing strategies like selecting the right instance types, leveraging Reserved and Spot Instances, and implementing auto-scaling, organizations can significantly cut down on cloud expenses. Sedai’s autonomous optimization platform enhances these efforts by continuously analyzing workloads, right-sizing instances, and automating cost-saving actions in real time. From leveraging AWS-native tools like Cost Explorer and Trusted Advisor to integrating advanced AI-driven optimizations, Sedai empowers businesses to achieve sustainable, scalable, and cost-efficient cloud operations.

This post explores the challenges and solutions related to AWS Lambda cold starts, which can hinder application performance in latency-sensitive environments. Traditional methods like provisioned concurrency and warmup plugins are discussed, highlighting their limitations such as increased costs and manual configuration. The post then introduces Sedai's innovative approach to autonomous optimization, which automatically adjusts Lambda functions for optimal performance and cost-efficiency. By eliminating the need for manual intervention, Sedai ensures continuous optimization, reducing cold start latency and ensuring scalability without escalating costs. With Sedai’s autonomous concurrency, teams can stay ahead of performance challenges while maintaining streamlined and cost-effective cloud infrastructure.

Learn how to run Kubernetes clusters on AWS spot instances with manual, automated, or autonomous management approaches to achieve 90% cost savings while maintaining reliability. Covers manual, automated, and autonomous approaches to instance selection and management.

Sedai has been accepted into the AWS Independent Software Vendor (ISV) Accelerate Program.

A comprehensive overview of how Sedai addresses the challenge of cold starts through the implementation of autonomous concurrency. We explore the history of cold starts, their underlying causes, and their relationship with concurrency before showing how an AI based approach can resolve cold starts.