Why monitoring matters in AWS - Visual Breakdown

Process Flow - Why monitoring matters

Start Application

↓

Generate Logs & Metrics

↓

Monitoring System Collects Data

↓

Analyze Data for Issues

↓

No Issue

↓

Continue

↓

Fix Issue

↓

Back to Start

This flow shows how monitoring collects data from an application, analyzes it, and triggers alerts if issues are found, helping keep systems healthy.

Execution Sample

AWS

aws cloudwatch put-metric-alarm --alarm-name HighCPU --metric-name CPUUtilization --namespace AWS/EC2 --statistic Average --period 300 --threshold 80 --comparison-operator GreaterThanThreshold --evaluation-periods 2 --alarm-actions arn:aws:sns:region:account-id:alert-topic --dimensions Name=InstanceId,Value=i-1234567890abcdef0

This command creates a CloudWatch alarm that watches CPU usage and alerts if it goes above 80% for two periods.

Process Table

Step	Action	Input/Condition	Result/Output	Next Step
1	Start monitoring setup	Define alarm parameters	Alarm configuration created	2
2	Collect metrics	CPU usage data every 5 minutes	Metrics stored in CloudWatch	3
3	Evaluate alarm condition	Is average CPU > 80% for 2 periods?	No (e.g., 60%, 70%)	4
4	No alert triggered	System healthy	Continue monitoring	2
5	Evaluate alarm condition	Is average CPU > 80% for 2 periods?	Yes (e.g., 85%, 90%)	6
6	Trigger alert	Send notification to SNS topic	Team alerted	7
7	Team investigates	Check logs and metrics	Issue identified and fixed	8
8	Issue resolved	CPU usage returns to normal	Alarm state clears	2

💡 Monitoring continues indefinitely to keep system healthy and alert on issues.

Status Tracker

Variable	Start	After Step 3	After Step 5	After Step 8
CPU Utilization (%)	N/A	60, 70	85, 90	50, 55
Alarm State	OK	OK	ALARM	OK
Alert Sent	No	No	Yes	No

Key Moments - 2 Insights

Why doesn't the alarm trigger if CPU usage is below 80% even once?

The alarm triggers only if CPU usage is above 80% for two consecutive periods, as shown in steps 3 and 5 in the execution table.

What happens after the alert is sent to the team?

After alerting (step 6), the team investigates and fixes the issue (step 7), then the alarm clears when CPU usage normalizes (step 8).

Visual Quiz - 3 Questions

Look at the execution table, what is the alarm state after step 3?

A INSUFFICIENT_DATA

B ALARM

C OK

D UNKNOWN

💡 Hint

Check the 'Alarm State' in variable_tracker after step 3.

At which step does the system send an alert notification?

A Step 6

B Step 4

C Step 5

D Step 7

💡 Hint

Look for 'Trigger alert' action in the execution_table.

If CPU usage never exceeds 80%, what happens to the alarm state over time?

A It changes to ALARM

B It stays OK

C It becomes INSUFFICIENT_DATA

D It resets to UNKNOWN

💡 Hint

Refer to variable_tracker showing alarm state when CPU is below threshold.

Concept Snapshot

Monitoring collects data like CPU usage continuously.
Alarms watch for thresholds (e.g., CPU > 80%).
Alerts notify teams only if conditions persist.
Fixing issues resets alarms.
Continuous monitoring keeps systems healthy.

Full Transcript

Monitoring is important because it watches your system's health by collecting data like CPU usage. When usage goes above a set limit for a certain time, it triggers an alarm. This alarm sends alerts to the team so they can fix problems quickly. Once fixed, the alarm clears and monitoring continues. This cycle helps keep applications running smoothly and avoids surprises.

Practice

1. Why is monitoring important in AWS environments?

easy

A. It helps detect issues early to keep systems running smoothly.

B. It automatically fixes all system errors without human help.

C. It increases the cost of running AWS services.

D. It disables alarms to reduce notifications.

Solution

1. Step 1: Understand monitoring purpose

   Monitoring tracks system health and performance in real time.

2. Step 2: Identify the benefit of early detection

   Early detection helps fix problems before they affect users.

3. Final Answer:

   It helps detect issues early to keep systems running smoothly. -> Option A

4. Quick Check:

   Monitoring = Early issue detection [OK]

Hint: Monitoring = early alerts to avoid bigger problems [OK]

Common Mistakes:

• Thinking monitoring fixes issues automatically
• Believing monitoring increases costs unnecessarily
• Assuming monitoring disables alarms

2. Which AWS service is primarily used for monitoring and setting alarms?

easy

A. Amazon CloudWatch

B. Amazon EC2

C. AWS S3

D. AWS Lambda

Solution

1. Step 1: Identify AWS monitoring services

   AWS CloudWatch collects metrics and logs for monitoring.

2. Step 2: Match service to alarms and monitoring

   CloudWatch allows setting alarms to notify on issues.

3. Final Answer:

   Amazon CloudWatch -> Option A

4. Quick Check:

   Monitoring + alarms = CloudWatch [OK]

Hint: CloudWatch = AWS monitoring and alarms tool [OK]

Common Mistakes:

• Confusing Lambda with monitoring service
• Thinking S3 stores monitoring data directly
• Assuming EC2 handles alarms

3. What will happen if you create a CloudWatch alarm for CPU usage > 80% and the CPU usage reaches 85%?

medium

A. The CPU usage will automatically reduce.

B. The alarm will ignore the CPU usage.

C. The alarm will trigger and notify you.

D. The alarm will delete the instance.

Solution

1. Step 1: Understand CloudWatch alarm behavior

   Alarms trigger when the monitored metric crosses the threshold.

2. Step 2: Apply to CPU usage scenario

   CPU usage > 80% triggers the alarm at 85% usage.

3. Final Answer:

   The alarm will trigger and notify you. -> Option C

4. Quick Check:

   CPU > threshold = alarm triggers [OK]

Hint: Alarm triggers when metric exceeds threshold [OK]

Common Mistakes:

• Thinking alarms fix issues automatically
• Believing alarms ignore threshold breaches
• Assuming alarms delete resources

4. You set a CloudWatch alarm but never receive notifications when thresholds are crossed. What is a likely cause?

medium

A. The CPU usage never exceeded the threshold.

B. The alarm is not linked to any notification action.

C. CloudWatch does not support alarms.

D. The AWS account is inactive.

Solution

1. Step 1: Check alarm configuration

   Alarms must have notification actions (like SNS) to send alerts.

2. Step 2: Identify missing notification setup

   If no notification is linked, no alerts are sent despite threshold breaches.

3. Final Answer:

   The alarm is not linked to any notification action. -> Option B

4. Quick Check:

   Missing notification = no alerts [OK]

Hint: Link alarms to notifications to get alerts [OK]

Common Mistakes:

• Assuming alarms send notifications automatically
• Ignoring notification setup in alarm
• Thinking CloudWatch lacks alarm support

5. You want to keep your AWS app reliable by monitoring multiple metrics and sending alerts only when several conditions happen together. Which approach should you use?

hard

A. Create multiple independent CloudWatch alarms without combining them.

B. Disable alarms to reduce noise.

C. Rely on manual checks instead of alarms.

D. Use CloudWatch composite alarms to combine multiple alarms into one alert.

Solution

1. Step 1: Understand composite alarms

   Composite alarms combine multiple alarms using logical conditions.

2. Step 2: Apply composite alarms for multi-condition alerts

   This lets you alert only when all or some conditions happen together.

3. Final Answer:

   Use CloudWatch composite alarms to combine multiple alarms into one alert. -> Option D

4. Quick Check:

   Multi-condition alert = composite alarms [OK]

Hint: Use composite alarms for combined conditions [OK]

Common Mistakes:

• Creating separate alarms without combination
• Ignoring composite alarms feature
• Disabling alarms to avoid alerts