Containers

Tag: Auto Scaling

Faster Scaling-in for Amazon ECS Cluster Auto Scaling

Faster Scaling-in for Amazon ECS Cluster Auto Scaling

Introduction Amazon Elastic Container Service (ECS) customers who use Cluster auto scaling (CAS) have expressed that they would like to scale-in more quickly so that they can avoid paying extra charges for compute resources during scale-in events. To make scaling-in more responsive, today we are pleased to introduce an enhancement to increase the scale-in step […]

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Amazon EKS improves control plane scaling and update speed by up to 4x

Amazon EKS improves control plane scaling and update speed by up to 4x

Years before Amazon Elastic Kubernetes Service (EKS) was released, our customers told us they wanted a service that would simplify Kubernetes management. Many of them were running self-managed clusters on Amazon Elastic Computer Cloud (EC2) and were having challenges upgrading, scaling, and maintaining the Kubernetes control plane. When EKS launched in 2018, it aimed to […]

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ECS auto scaling using custom metrics

Amazon Elastic Container Service (ECS) Auto Scaling using custom metrics

Introduction Amazon ECS eliminates the need to install, operate, and scale your own cluster management infrastructure. Customers are using horizontal scalability to deploy and scale their microservices applications running on Amazon ECS. They use the Application Auto Scaling service to automatically scale based on metrics data. Amazon ECS typically measures service utilization based on average […]

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Diagram of of the QMaaS data processing pipeline

Athenahealth QMaaS: Optimizing throughput and costs with Amazon ECS & EC2 Spot

Karthik Kalkur, Senior Architect, Athenahealth, Jayaprakash Alawala, Specialist Solution Architect (Containers), AWS, and Sridhar Bharadwaj, Sr EC2 Spot Specialist, AWS This guest blog post is contributed by Karthik Kalkur, a Senior Architect at athenahealth, in partnership with AWS Specialist Solution Architect for Containers, Jayaprakash Alawala, and AWS Sr. EC2 Spot Specialist, Sridhar Bharadwaj. Athenahealth is […]

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Autoscaling Amazon ECS services based on custom CloudWatch and Prometheus metrics

Introduction Horizontal scalability is a critical aspect of cloud native applications. Microservices deployed to Amazon ECS leverage the Application Auto Scaling service to automatically scale based on observed metrics data. Amazon ECS measures service utilization based on CPU and memory resources consumed by the tasks that belong to a service and publishes CloudWatch metrics, namely, […]

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Domain reduces scaling time for their mobile API services with Amazon ECS

      This post was contributed by Peter Kiem, Senior DevOps Engineer, Cloud Platform Team, Domain Group, Mitch Beaumont, Principal Solutions Architect, Large Enterprise, Container SME, and Mai Nishitani, Solutions Architect, Large Enterprise. Domain provides real estate information and services to Australians through mobile applications, the web, and newspapers. The company’s services include property […]

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Deep Dive on Amazon ECS Cluster Auto Scaling

Introduction Up until recently, ensuring that the number of EC2 instances in your ECS cluster would scale as needed to accommodate your tasks and services could be challenging.  ECS clusters could not always scale out when needed, and scaling in could impact availability unless handled carefully. Sometimes, customers would resort to custom tooling such as […]

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