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AWScloud~15 mins

Why monitoring matters in AWS - See It in Action

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Why Monitoring Matters
📖 Scenario: You are managing a small web application hosted on AWS. To keep your app healthy and responsive, you need to watch how it performs and if any problems happen. Monitoring helps you see the app's status and fix issues quickly before users notice.
🎯 Goal: Build a simple AWS CloudWatch monitoring setup that tracks CPU usage of an EC2 instance and alerts you if usage goes above a set limit.
📋 What You'll Learn
Create a CloudWatch alarm for CPU utilization
Set a threshold for high CPU usage
Configure the alarm to send a notification
Display the alarm status
💡 Why This Matters
🌍 Real World
Monitoring cloud resources like EC2 instances helps keep applications running smoothly by alerting you to problems early.
💼 Career
DevOps engineers and cloud administrators use monitoring tools like AWS CloudWatch daily to maintain system health and respond to incidents.
Progress0 / 4 steps
1
Create an EC2 instance data structure
Create a dictionary called ec2_instance with keys 'InstanceId' set to 'i-1234567890abcdef0' and 'Name' set to 'MyWebServer'.
AWS
Need a hint?

Think of this dictionary as a simple label for your server with its ID and name.

2
Set a CPU usage threshold
Create a variable called cpu_threshold and set it to 70 to represent 70% CPU usage.
AWS
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This number will help us decide when CPU usage is too high.

3
Create a CloudWatch alarm configuration
Create a dictionary called cpu_alarm with keys: 'AlarmName' set to 'HighCPUUsage', 'MetricName' set to 'CPUUtilization', 'Threshold' set to cpu_threshold, and 'InstanceId' set to ec2_instance['InstanceId'].
AWS
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This dictionary represents the alarm settings that watch CPU usage.

4
Display the alarm configuration
Write a print statement to display the cpu_alarm dictionary.
AWS
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This will show the alarm details so you can check your setup.