Cost Optimization in Amazon ECS: Leveraging Spot Instances the Right Way
Cost efficiency is often as critical as performance and scalability. For modern containerized applications, the need to manage infrastructure costs becomes important, as microservices often transla...
Source: DEV Community
Cost efficiency is often as critical as performance and scalability. For modern containerized applications, the need to manage infrastructure costs becomes important, as microservices often translate to a large number of continuously running tasks. If not managed properly, these costs can spiral quickly. We aren't just talking about a few extra dollars — we are talking about the kind of financial disaster where a team chose CloudWatch for a small project because it was "quick to set up," only to find it eating up 40% of their entire budget. Or another instance where a recursive loop in a Lambda Edge function caused their application to essentially DDoS itself through CloudFront. "Basically, running on default is expensive." For Amazon Elastic Container Service (ECS), the "default" is often to run every task on On-Demand or FARGATE capacity. While safe, it means you are paying a 70–90% premium for every single microservice, regardless of its priority. In this post, we'll move past the f
