Tag: Amazon CloudWatch

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 […]

Introduction We have observed a growing adoption of container services among both startups and established companies. This trend is driven by the ease of deploying applications and migrating from on-premises environments to the cloud. One platform of choice for many of our customers is Amazon Elastic Container Service (Amazon ECS). The powerful simplicity of Amazon […]

Introduction Application Auto Scaling is a web service for developers and system administrators who need a solution for automatically scaling their scalable resources for AWS services such as Amazon Elastic Container Service (Amazon ECS) services, Amazon DynamoDB tables, AWS Lambda Provisioned Concurrency, and more. Application Auto Scaling now offers support for scaling such resources using […]

Introduction Amazon ECS now offers native support for monitoring and automatically reacting to changes during a rolling update by using Amazon CloudWatch metric alarms. This enables customers to easily automate discovery and remediation for failed deployments and minimize the performance and availability impacts. Customers can configure Amazon CloudWatch alarms for their rolling updates using the […]

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 […]

Amazon Elastic Kubernetes Service (Amazon EKS) is a managed container service that provides a highly available single-tenant control plane to run and scale Kubernetes applications in the cloud or on-premises. Logs are an important way to debug problems, audit cluster activities, and monitor the health of your application. Kubernetes logging can be divided into control […]

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 […]

Introduction Amazon CloudWatch Container Insights helps customers collect, aggregate, and summarize metrics and logs from containerized applications and microservices. Metrics data is collected as performance log events using the embedded metric format. These performance log events use a structured JSON schema that enables high-cardinality data to be ingested and stored at scale. From this data, […]

Many applications do not need to be available 24/7, such as those in development and QA environments. AWS App Runner supports this and allows applications to be paused, or deactivated, to lower costs when not in use. The applications can then be resumed or activated when they are needed. This blog post uses this example […]

At AWS, customers are running their most mission-critical workloads on Amazon Elastic Container Service (Amazon ECS) with Windows as their compute layer. Still, the undifferentiated heavy lifting of managing the underlying host OS, patching, scaling, and hardening when running Windows containers are time-consuming tasks. Therefore, customers can choose to use the optimized AMIs, which are preconfigured […]