API monitoring and alerting in Rest API - Step-by-Step Execution

Concept Flow - API monitoring and alerting

Start Monitoring Setup

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Define API Endpoint

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Set Monitoring Frequency

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Send API Request

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Check Response Status

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Log Success

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Wait Interval

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Repeat

This flow shows how API monitoring sends requests regularly, checks responses, logs success or triggers alerts on errors, then repeats.

Execution Sample

Rest API

1. Define API endpoint: https://api.example.com/data
2. Set frequency: every 60 seconds
3. Send GET request
4. Check if status code == 200
5. If not, send alert notification

This code monitors an API by sending a GET request every minute and alerts if the response is not successful.

Execution Table

Step	Action	Request Sent	Response Status	Alert Triggered	Log Entry
1	Send GET request to API	GET https://api.example.com/data	200 OK	No	Success logged
2	Wait 60 seconds	No request	No response	No	No log
3	Send GET request to API	GET https://api.example.com/data	500 Internal Server Error	Yes	Error logged
4	Send alert notification	No request	No response	Yes	Alert sent to team
5	Wait 60 seconds	No request	No response	No	No log
6	Send GET request to API	GET https://api.example.com/data	200 OK	No	Success logged
7	End monitoring session	No request	No response	No	Monitoring stopped

💡 Monitoring stopped manually after step 7

Variable Tracker

Variable	Start	After Step 1	After Step 3	After Step 4	After Step 6	Final
Response Status	None	200 OK	500 Internal Server Error	500 Internal Server Error	200 OK	200 OK
Alert Triggered	False	False	True	True	False	False
Log Entry	None	Success logged	Error logged	Alert sent to team	Success logged	Success logged

Key Moments - 3 Insights

Why does the alert trigger only on some steps and not every time?

The alert triggers only when the response status is an error (like 500), as shown in execution_table step 3 and 4. Successful responses (200 OK) do not trigger alerts.

What happens during the wait steps in monitoring?

During wait steps (like step 2 and 5), no requests are sent and no logs or alerts occur. This pause controls the monitoring frequency.

How does the system know when to stop monitoring?

Monitoring stops manually or by a condition outside this flow, as indicated in step 7 with no further requests sent.

Visual Quiz - 3 Questions

Look at the execution table, what is the Response Status at Step 3?

A 200 OK

B 404 Not Found

C 500 Internal Server Error

D No response

💡 Hint

Check the 'Response Status' column in the execution_table row for Step 3.

At which step does the alert get sent to the team?

A Step 1

B Step 4

C Step 6

D Step 7

💡 Hint

Look for 'Alert sent to team' in the 'Log Entry' column in the execution_table.

If the API always returns 200 OK, how would the Alert Triggered column change?

A It would always be No

B It would alternate Yes and No

C It would always be Yes

D It would be Yes only on wait steps

💡 Hint

Refer to the variable_tracker for Alert Triggered values when Response Status is 200 OK.

Concept Snapshot

API Monitoring and Alerting:
- Define API endpoint and check frequency
- Send requests regularly
- Check response status code
- Log success if 200 OK
- Trigger alert if error status
- Notify team on alert
- Repeat monitoring cycle

Full Transcript

API monitoring and alerting involves regularly sending requests to an API endpoint and checking the response status. If the response is successful (status 200), the system logs success. If an error occurs (like status 500), it triggers an alert and notifies the team. The process repeats at set intervals until monitoring stops.