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AWS CloudWatch

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Learn how Amazon CloudWatch collects metrics, logs, alarms, and dashboards, and how it differs from CloudTrail in AWS observability.

Amazon CloudWatch is the default observability hub for many AWS workloads. It stores metrics, collects logs, triggers alarms, and powers dashboards that show how systems behave over time. If DevOps is about reliable delivery and operations, CloudWatch is one of the first services you need because it tells you whether applications are healthy, overloaded, idle, or failing.

CloudWatch: Observability Pipeline

AWS Services
EC2, RDS, Lambda…
emit
Metrics
CPU, memory, errors
Logs
application output
Alarms
threshold → SNS/action
Dashboards
visual monitoring

CloudTrail records API calls; CloudWatch monitors performance metrics and logs

Metrics are numeric time-series data such as EC2 CPUUtilization, Lambda errors, request count, or custom business measurements. Logs are raw event streams written by services and applications into log groups and log streams. Alarms watch metrics and notify or automate responses when thresholds are crossed. Dashboards let you combine multiple graphs into one operational view for teams or on-call rotations.

CloudWatch featureTypical use
MetricsTrend and threshold monitoring
LogsTroubleshooting application and platform events
AlarmsNotifications and automated actions
DashboardsShared operational visibility

CloudWatch is often confused with CloudTrail, but they answer different questions. CloudWatch asks, “How is the system behaving?” CloudTrail asks, “Who did what in the AWS account?” When an instance has high CPU or a Lambda function times out, CloudWatch is the right tool. When a security group changes or a user deletes a bucket, CloudTrail gives you the API history.

Effective monitoring combines both platform metrics and application signals. CPU and memory alone rarely tell the full story. Queue depth, error rate, request latency, and deployment events help teams spot issues before customers report them. CloudWatch works best when alarms map to meaningful operational thresholds rather than noisy values no one acts on.

Continue with AWS CloudWatch Metrics for hands-on alarms and log patterns.

aws cloudwatch list-metrics --namespace AWS/EC2 --query 'Metrics[0:10].[MetricName]' --output table
aws logs describe-log-groups --output table

Operational note

Good monitoring is less about collecting everything and more about creating signals that lead to action. Prefer alarms tied to user impact, error budgets, queue backlogs, or sustained saturation over noisy one-off spikes. Teams trust observability more when alerts are specific, actionable, and rarely ignored. Shared standards like this make future environments easier to launch, review, and support.

Exercise

CloudWatch scope

Which CloudWatch feature is used to notify you when CPU exceeds a threshold?

Exercise

CloudWatch versus CloudTrail

Which service is primarily used to audit AWS API activity and account changes?

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Continue Learning

AWS Lambda Functions

Write and test your first AWS Lambda function, then tune handlers, events, environment variables, memory, and timeout settings.

12 min·Intermediate

AWS ECS and EKS

Compare Amazon ECS and Amazon EKS, understand clusters, task definitions, and when Fargate or EC2 launch types make sense for containers.

18 min·Intermediate

AWS ECS Tasks

Define ECS tasks, deploy container images from ECR, and run services with desired counts, load balancers, and auto scaling.

12 min·Intermediate

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