Run time sensitive workloads on ECS Fargate with clock accuracy tracking

Introduction

In part 1 and part 2 of this series, the importance of measuring time accuracy and relevant concepts were discussed. Additionally, we covered specifics on ways to put those concepts into practice, track metrics using Amazon CloudWatch and implement a practical solution for Amazon Elastic Compute Cloud (Amazon EC2) instances. In this part 3, we’ll use those concepts and apply them to the containers ecosystem and containerized workloads running on Amazon Elastic Container Service (Amazon ECS). This capability uses Amazon Time Sync Service to measure clock accuracy and provide the clock error bound for applications running in containers.

Solution overview

An increasing number of applications are being migrated to or are natively built for containers. Amazon Web Services (AWS) offers AWS Fargate as the convenient choice for running containerized workloads without having to manage the underlying servers and clusters of Amazon EC2 instances. As the number of applications hosted …