Containers

Tag: HAQM CloudWatch

Proactive scaling of HAQM ECS services using HAQM ECS Service Connect Metrics

Introduction This post discusses HAQM Elastic Container Service (HAQM ECS) Service Connect, a capability that provides a secure and scalable way to connect different HAQM ECS service deployments. This enables seamless communication between micro-services while reducing the operational overhead. It provides features such as service discovery, load balancing, and network traffic metrics. This post primarily […]

Scale your HAQM ECS using different AWS native services!

Containers accelerate application development and enhance deployment consistency across environments, thus enabling organizations to improve productivity and agility. AWS container services such as HAQM Elastic Container Service (HAQM 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 […]

Effective use: HAQM ECS lifecycle events with HAQM CloudWatch logs insights

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 HAQM Elastic Container Service (HAQM ECS). The powerful simplicity of HAQM […]

Autoscaling HAQM ECS services based on custom metrics with Application Auto Scaling

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 HAQM Elastic Container Service (HAQM ECS) services, HAQM DynamoDB tables, AWS Lambda Provisioned Concurrency, and more. Application Auto Scaling now offers support for scaling such resources using […]

Automate rollbacks for HAQM ECS rolling deployments with CloudWatch alarms

Introduction HAQM ECS now offers native support for monitoring and automatically reacting to changes during a rolling update by using HAQM 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 HAQM CloudWatch alarms for their rolling updates using the […]

Faster Scaling-in for HAQM ECS Cluster Auto Scaling

Faster Scaling-in for HAQM ECS Cluster Auto Scaling

Introduction HAQM 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 […]

Understanding and Cost Optimizing HAQM EKS Control Plane Logs

HAQM Elastic Kubernetes Service (HAQM 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 […]

ECS auto scaling using custom metrics

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

Introduction HAQM 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 HAQM ECS. They use the Application Auto Scaling service to automatically scale based on metrics data. HAQM ECS typically measures service utilization based on average […]

Introducing HAQM CloudWatch Container Insights for HAQM EKS Fargate using AWS Distro for OpenTelemetry

Introduction HAQM 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, […]