What if your website crashes at midnight and you don't even know it?
Why CloudWatch alarms in AWS? - Purpose & Use Cases
Imagine you run a busy online store. You have many servers and databases. You want to know if any server is too slow or if your website goes down. Without alarms, you have to watch all these systems yourself, all day and night.
Manually checking each server is tiring and easy to miss problems. If something breaks at night, you might not notice until customers complain. This causes lost sales and unhappy users. It's slow, stressful, and error-prone.
CloudWatch alarms automatically watch your systems for you. They check important things like CPU use or error rates. When something goes wrong, alarms send you alerts right away. This saves time and helps fix problems fast.
Check server logs every hour Call team if CPU > 80%
Create CloudWatch alarm for CPU > 80% Receive automatic alert when triggered
CloudWatch alarms let you catch and fix issues instantly, keeping your systems healthy without constant manual checks.
A company uses CloudWatch alarms to monitor their website traffic and server health. When traffic spikes too high, alarms notify the team to add more servers, preventing crashes and keeping customers happy.
Manual monitoring is slow and unreliable.
CloudWatch alarms automate watching your systems.
They alert you instantly to fix problems fast.
Practice
Solution
Step 1: Understand CloudWatch alarm function
CloudWatch alarms watch metrics like CPU usage or disk space and alert you when values cross set limits.Step 2: Identify the correct purpose
Only To monitor a specific metric and notify when it crosses a threshold describes monitoring a metric and notifying on threshold crossing, which is the alarm's job.Final Answer:
To monitor a specific metric and notify when it crosses a threshold -> Option BQuick Check:
Alarm = Monitor + Notify [OK]
- Confusing alarms with log storage
- Thinking alarms create servers
- Mixing alarms with user management
Solution
Step 1: Understand threshold syntax
CloudWatch alarms use a numeric Threshold value and a separate ComparisonOperator like GreaterThanThreshold, LessThanThreshold.Step 2: Choose operator for above 80%
To alert when CPU is above 80%, use "Threshold": 80, "ComparisonOperator": "GreaterThanThreshold".Final Answer:
"Threshold": 80, "ComparisonOperator": "GreaterThanThreshold" -> Option DQuick Check:
Above 80% = GreaterThanThreshold(80) [OK]
- Using < instead of > for above threshold
- Using = which triggers only at exact value
- Confusing <= with above threshold
{"MetricName": "CPUUtilization", "Namespace": "AWS/EC2", "Threshold": 70, "ComparisonOperator": "GreaterThanThreshold", "EvaluationPeriods": 3}What happens if CPU utilization is 75% for 2 consecutive periods and then 65% for the third period?
Solution
Step 1: Understand EvaluationPeriods meaning
The alarm triggers only if the metric breaches the threshold for the specified number of consecutive periods (3 here).Step 2: Analyze given CPU values
CPU was above 70% for 2 periods, then dropped below on the 3rd, so the alarm does not trigger.Final Answer:
The alarm does not trigger because CPU was not above 70% for all 3 periods -> Option AQuick Check:
3 periods breach needed, only 2 met [OK]
- Thinking alarm triggers after any single breach
- Ignoring EvaluationPeriods count
- Assuming alarm triggers immediately
Solution
Step 1: Check EvaluationPeriods vs data points
If EvaluationPeriods is more than available metric data points, alarm cannot evaluate properly.Step 2: Confirm impact on alarm state
Without enough data points, alarm never sees enough breaches to enter ALARM state.Final Answer:
The alarm's EvaluationPeriods is set higher than the number of metric data points -> Option AQuick Check:
EvaluationPeriods > data points = no alarm [OK]
- Assuming threshold too low prevents alarm
- Confusing notification with monitoring
- Thinking invalid SNS prevents alarm state
Solution
Step 1: Understand alarm and time condition needs
CloudWatch alarms alone cannot restrict triggering by time; external logic is needed.Step 2: Evaluate options for time-based control
Using a Lambda triggered by the alarm to check current time and decide on scaling is flexible and precise.Step 3: Assess other options
EventBridge can schedule events but not filter alarm triggers by time; auto-scaling ignores alarms is not a feature.Final Answer:
Create a CloudWatch alarm with threshold 60% and EvaluationPeriods 5, then use a Lambda function triggered by the alarm to check time and trigger scaling -> Option CQuick Check:
Alarm + Lambda time check = controlled scaling [OK]
- Expecting alarm to handle time filtering alone
- Assuming auto-scaling ignores alarms by time
- Using EventBridge without alarm integration
Ready to prove it?
Pass the test and this pattern moves unknown
