lab challenge

Monitoring Amazon ECS With CloudWatch Challenge

Intermediate

Up to 30m

Get challenged in a real environmentProve your skills in a real-world, provisioned environment.

Push your limitsComplete an unguided mission within the time limit.

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Lab description

Amazon Elastic Container Service resources can provide CPU and memory utilization metrics gathered from the cluster and service that make up an application. These metrics can be monitored and analyzed using Amazon CloudWatch.

When working with containers in AWS, Auto Scaling Groups are commonly used to provide scalability for the dynamic workload of an application. These Auto Scaling Groups can deploy or shut down containers based on CloudWatch metrics. CloudWatch can also send notifications based on metric alarms, which provides visibility and the option to respond to workload anomalies.

Prerequisites

Monitoring Amazon ECS Resources With Amazon CloudWatch

Intended audience

Cloud Architects
Software Engineers

What will be assessed

Amazon CloudWatch
Amazon Elastic Container Service

About the author

Jun Fritz, opens in a new tab

Cloud Labs Developer

Students

39,514

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106

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Learning paths

Jun is a Cloud Labs Developer with previous experience as a Software Engineer and Cloud Developer. He holds the AWS Certified Solutions Architect and DevOps Engineer Professional certifications. He also holds the AWS Certified Solutions Architect, Developer, and SysOps Administrator Associate certifications.

Jun is focused on giving back to the growing cloud community by sharing his knowledge and experience with students and creating engaging content.

Covered topics

Amazon Elastic Container Service (ECS)