Rachel Leekin

Amazon ECS powers mission critical workloads worldwide, offering multiple ways to run containers efficiently and cost effectively. In this chalk talk you will learn practical strategies to reduce your ECS spend while maintaining performance and reliability.

While scaling with Karpenter, Spot instances, and Graviton processors are well-known cost-saving solutions for Amazon EKS, their effective implementation at scale demands thorough workload understanding. This presentation introduces a data-driven framework for optimizing EKS costs in production environments.

As organizations migrate existing self-hosted container platforms to Amazon EKS, there are opportunities for optimizing cost, observability, and operational efficiency.

AWS Fargate is trusted to run mission-critical workloads around the globe and provides an array of features to help optimize and tune its serverless container workloads.

As Kubernetes adoption grows, organizations face the challenge of effectively allocating costs in containerized environments. Typical FinOps approaches are designed for one-to-one cloud resource mapping; this approach struggles to address the unique complexities of Kubernetes’ shared environment nature.