Tag: Auto Scaling

Containers accelerate application development and enhance deployment consistency across environments, thus enabling organizations to improve productivity and agility. AWS container services such as Amazon Elastic Container Service (Amazon ECS) make it easier to manage your application so you can focus on innovation and your business needs. Customer experience is the most important yardstick by which […]

[May, 2024 – This blog has been updated to reflect Karpenter v1beta1 API changes] Introduction Karpenter is an open-source cluster autoscaler that provisions right-sized nodes in response to unschedulable pods based on aggregated CPU, memory, volume requests, and other Kubernetes scheduling constraints (e.g., affinities and pod topology spread constraints), which simplifies infrastructure management. When using […]

Introduction CoStar is well known as a market leader for Commercial Real Estate data, but they also run major home, rental, and apartments websites —including apartments.com—that many have seen advertised by Jeff Goldblum. CoStar’s traditional Commercial Real Estate customers are highly informed users that use large and complex data to make critical business decisions. Successfully […]

Introduction We are excited to launch Amazon Elastic Container Service (Amazon ECS) Task Scale-in protection, which is a new capability that gives customers control over protecting Amazon ECS service tasks from being terminated by scale-in events from Amazon ECS service Auto Scaling or deployments. Customers can simply mark their mission-critical tasks as protected from scale-in […]

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 […]

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 […]

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 […]

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 […]

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, […]

      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 […]