Run containerized applications on AWS with confidence

A single miscalculated configuration in your service or container definition can easily cause an application performance issue. Observe and alert on system utilization stats from clusters, container instances, services, and other ECS components for both EC2 and Fargate launch type to make changes with confidence.

A time series graph displaying service level resource usage
Service
A time series graph displaying available resources on a container instance
Instance
A time series graph displaying cluster level resource usage
Cluster

Services

Visualize usage trends for the services powering your long-running application.


  • Track the total amount of CPU and memory consumed for tasks to see how close they were to the configured size limits.
  • Drill down to a particular service and instantly visualize the total number of running and pending tasks. Sudden spikes could indicate an increase in user demand.

Instances

Monitor the container instances running your task requests.


  • Know which instances are running low on compute and memory to better formulate placement strategies and constraints for your new task definition.
  • Track task activity on every container instance across your cluster and configure thresholds to get alerted when running tasks fall below a specified value.

Clusters

Gain insight into the systems running your Docker containers, out of the box.


  • See what percentage of aggregate cluster CPU and memory units are reserved for existing tasks to make informed decisions about scaling your infrastructure.
  • Monitor CPU and memory usage at the cluster level to better organize workloads and understand the impact of task placement.

Monitor activity at the container level

Run the Site24x7 Docker agent as a container to automatically discover and track performance metrics for all other containers running on your EC2 instance.

Our agent is listed in the Docker hub repository to help you get started quickly. You can either edit an existing task definition, or create a new one that references the Site24x7 Docker agent image and run the task manually on an instance.

Get started with Site24x7 to better support your Amazon Web Services environment.

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