Case Study: KnowBe4 saves $1.2M on AWS with Sedai autonomous optimization

KnowBe4 saves $1.2M on AWS with Sedai

KnowBe4, a global leader in Human and AI Risk Management, faced significant operational challenges due to its rapid growth on AWS. With massive scaling across thousands of services and functions, manual cloud optimization became unsustainable, risking performance issues and unnecessary costs. To address this, they turned to Sedai for its autonomous optimization platform.

Sedai implemented its solution using a safe, "Crawl, Walk, Run" framework to autonomously optimize KnowBe4's ECS Fargate and Lambda environments. The results were substantial, including over $1.2 million in cumulative savings, a 27% reduction in cloud compute costs, and latency improvements of up to 99.5%. Sedai's platform achieved these savings with zero incidents, allowing KnowBe4's engineers to focus on innovation instead of manual optimization.

KnowBe4