Build AWS Incident Pulse with Lovable

Build a private Lovable dashboard for live AWS CloudWatch alarm health.

Introduction

30 Second Summary

When an application misbehaves, the hardest part is often finding out whether the problem is still active or already recovering. Scattered alarm details can turn a quick health check into a slow search.

In this project, you will build AWS Incident Pulse in Lovable to display live Amazon CloudWatch alarm health from your AWS account. A controlled alarm drill proves that the dashboard records a real state transition for later review.

What You'll Build

Picture clicking Refresh to watch the health cards fill with live alarm states from your AWS account.

By the end of this project, you'll have:

A live alarm health view you can refresh on demand to see current status counts.
An incident record you can open from any selected alarm to review its latest reason and state-change timeline.
A controlled incident drill that proves a read-only connection carries real CloudWatch transitions into Lovable.
Secret Mission: Add an Incident Briefing mode that filters active problems into a copy-ready incident summary.

Are there any prerequisites?

You'll need an AWS account with permission to create IAM and CloudWatch resources. No local installation is required because AWS CloudShell runs the terminal work in your browser.

Before We Start

Before any hands-on work begins, define what your private AWS Incident Pulse dashboard will monitor. This gives the dashboard a clear purpose for the people responding during an incident.

Set Up the Browser Workspace

Your AWS Incident Pulse dashboard spans two browser workspaces. Lovable hosts the interface. AWS CloudShell provides a pre-authenticated terminal for your AWS account.

Keeping both tools in the browser removes local Windows setup. You will finish by proving that the terminal uses your chosen AWS Region before you create any monitoring resources.

In this step, get ready to:

Create a Lovable Free account that gives you access to the Lovable dashboard.
Select a commercial AWS Region for the project.
Confirm the preinstalled AWS CLI and active Region from an AWS CloudShell Bash session.

Why use a browser-only workspace?

Lovable needs no local installation. Your account gives you access to its dashboard through your browser.

CloudShell uses your AWS console session for AWS access. This avoids installing a command-line tool or configuring credentials on Windows.

Create your Lovable Free account

A Lovable Free account gives you access to the dashboard where you will build the interface later. Your chosen sign-up method may open its own identity confirmation page before returning you to Lovable.

Open the Lovable website in your browser.
Choose one sign-up method from email, Google, GitHub, or Apple.
Complete the account confirmation requested by your chosen method.
Confirm that the Lovable dashboard opens after sign-up.

Your Lovable Free account is ready. You now have the browser workspace that hosts the AWS Incident Pulse interface.

Choose your AWS Region and open CloudShell

The Region you select becomes the home for the project's AWS resources. CloudShell inherits the active Region from your AWS console session.

Your AWS account may request its usual identity verification during sign-in. Complete that check before choosing the Region.

Open the AWS Management Console in your browser.
Sign in with your AWS account.
Complete any identity verification requested by your AWS account.
Select a commercial Region from the Region selector in the AWS console header.
Record the selected Region here: your selected AWS Region.
Open CloudShell by selecting the CloudShell icon in the AWS console toolbar.

You will see a command prompt in the default Bash shell. The session already uses the credentials from your AWS console sign-in.

Verify the CLI and Region

The AWS CLI is already built into CloudShell. Its configuration shows which Region the current session uses.

Before you check, consider whether CloudShell will report the same Region you selected in the console.

Inspect your CloudShell configuration by running these commands:

aws --version
aws configure list

What do these checks show?

The first command reports details about the AWS CLI installed in CloudShell.
The second command lists the active configuration used by the current session.

Find the AWS CLI version in the first line of output.
Compare the Region in the configuration output with your selected AWS Region.

You should see AWS CLI version 2 in the first result. You should also see your selected AWS Region in the configuration output.

CLI version or Region missing?

Click inside the CloudShell terminal if your commands are not running.
Select your selected AWS Region in the AWS console header if the configuration lists a different Region.
Start a new CloudShell session after correcting the Region.

Get help with checking the AWS CLI version and CloudShell Region.

Choose the tab that matches your browser workspace.

✔️ My browser workspace is ready

Everything matches the target setup. Your Lovable dashboard is accessible. Your CloudShell Bash session is ready in the selected Region.

ⓧ I'd like to double check the setup

Your browser workspace is complete when it matches these final states.

A Lovable Free account is created. The Lovable dashboard is accessible.
AWS CloudShell is open in the selected commercial AWS Region.
The active CloudShell session uses the default Bash shell.
AWS CLI version 2 is available. The configuration output shows the selected Region.
No Lovable project or AWS monitoring resource has been created.

Your browser workspace is ready for AWS Incident Pulse. Next up, you will turn the dashboard idea into a visible mock interface in Lovable.

Build the Mock Dashboard

Your browser workspace is ready. You can now shape the incident dashboard in Lovable.

A visible mock makes the destination concrete before you connect Amazon CloudWatch. Testing its Refresh button exposes whether the interface can reach real alarms.

In this step, get ready to:

Generate a private mock dashboard from a detailed Lovable prompt.
Test the dashboard across desktop and mobile previews.
Check whether Refresh can retrieve real alarm data.

Generate the mock dashboard

The first prompt acts like a design brief for Lovable. It defines the dashboard structure before any live cloud resources exist.

Return to the Lovable dashboard from earlier.
Select Build.
Click the Ask Lovable to create… prompt box.
Paste this prompt into the box:

Build a responsive internal operations dashboard called AWS Incident Pulse. Use realistic sample CloudWatch alarm data for now. At the top, show summary cards for OK, ALARM, and INSUFFICIENT_DATA counts plus a last-refreshed timestamp. Add a table with alarm name, state, state reason, namespace, metric name, and last update. Selecting a row should open a recent state-change timeline. Add a Refresh button, loading state, empty state, and error state. Use a restrained dark operations-console design with strong accessible status colors. No login, database, or live AWS connection yet.

What does this prompt create?

Realistic sample alarm data gives the interface something useful to display before live data is available.
The summary cards make the three CloudWatch alarm states visible at a glance.
The table provides the details needed to understand each sample alarm.
The timeline turns sample state changes into a readable incident record.
The loading, empty, and error states prepare the interface for different data outcomes.
The final constraints keep this build focused on the monitoring workflow.

Submit the prompt.

Lovable generates the interface inside the editor preview.

Leave the generated project unpublished in the Lovable editor preview.
Confirm the page title reads AWS Incident Pulse.
Confirm the top of the dashboard contains OK, ALARM, and INSUFFICIENT_DATA summary cards.
Confirm a last-refreshed timestamp appears near the summary cards.
Confirm the sample alarm table includes alarm name, state, state reason, namespace, metric name, and last update.
Confirm a recent state-change timeline appears for the selected sample alarm.
Confirm the interface includes loading, empty, and error states.

Missing part of the dashboard?

Compare your submitted prompt with the complete prompt above.
Resubmit the complete prompt if the original text was cut off.
Check that the prompt includes the summary cards, alarm table, timeline, and interface states.

Help me troubleshoot missing sections in my Lovable dashboard.

Test the desktop and mobile layouts

An incident dashboard must remain readable on a large monitor or a phone. The previews let you test the layout before live alarm data adds more variation.

Switch to the desktop preview.
Confirm OK, ALARM, and INSUFFICIENT_DATA use distinct labels and color treatments.
Confirm each status label remains readable against the dark background.
Select one sample alarm row.

You should see the recent sample state-change timeline update for the selected alarm.

Switch to the mobile preview.
Confirm the summary cards remain readable.
Confirm the alarm table remains usable.
Select a different sample alarm row.

You should see the mobile timeline update for the newly selected alarm.

That is the visual workflow working. The layout adapts across screen sizes while row selection controls the incident timeline.

Timeline not changing?

Select a row with a different alarm name.
Compare the newest timeline event before and after your selection.
Ask Lovable to check whether row selection controls the displayed sample history if the timeline remains unchanged.

Help me fix the selectable alarm timeline.

Test the Refresh button

The dashboard now looks like an operations tool. The decisive test is whether Refresh can reach beyond its sample dataset.

Before you click Refresh, do you think the alarm values can change without a live data connection?

Click Refresh in the Lovable preview.

You may see the loading feedback update. The sample alarm values remain unchanged.

This shortfall is intentional. The interface has no live connection to your cloud alarm data.

Why Refresh cannot find real alarms

The button only controls mock data inside the generated interface. No live data connection exists, so the dashboard has no path to CloudWatch.

The static result proves exactly which integration gap the project needs to close.

Your private mock dashboard now shows the complete monitoring workflow and its missing live-data link. Next, you will create a real CloudWatch test alarm that gives the integration something concrete to discover.

Create a CloudWatch Test Alarm

Your Lovable preview now makes incident data easy to scan. Its Refresh button still works with sample values.

Static sample data cannot prove that the dashboard is operationally useful. In this step, you will create a real Amazon CloudWatch alarm that the disconnected dashboard cannot discover.

In this step, get ready to:

Publish a sample CloudWatch metric in your selected AWS Region.
Configure a test alarm named myalarm.
Prove that AWS contains the alarm while Lovable still shows sample data.

Publish the sample custom metric

A custom metric gives CloudWatch a specific measurement to evaluate. Its dimensions identify the exact time series that belongs to this test.

Switch back to the AWS CloudShell session from earlier.
Publish the sample Buffers data point by running this command:

aws cloudwatch put-metric-data --metric-name Buffers --namespace MyNameSpace --unit Bytes --value 231434333 --dimensions InstanceID=1-23456789,InstanceType=m1.small

What does this command publish?

The put-metric-data operation sends one measurement to CloudWatch.
The metric is named Buffers inside the MyNameSpace namespace.
The data point records 231434333 in Bytes.
The InstanceID=1-23456789 dimension identifies the sample instance.
The InstanceType=m1.small dimension identifies the sample instance type.

Wait for CloudShell to return to the Bash prompt.

You should return to the prompt without an error. This confirms that CloudWatch accepted the data point in the selected Region.

Metric command did not complete?

Confirm that CloudShell still uses the selected AWS Region.
Check that your AWS account permits CloudWatch metric publishing.
Compare every metric value with the command above before trying again.

Ask for help with the metric command.

Configure the test alarm

A CloudWatch alarm evaluates a metric against a rule. Finding a custom metric in the picker can feel fiddly because its dimensions distinguish it from similar rows.

Switch to Amazon CloudWatch in the AWS Management Console from earlier.
Choose Alarms.
Choose All alarms.
Choose Create alarm.
Choose Select Metric.
Choose MyNameSpace.
Select the Buffers row that shows both sample dimensions.
Choose Select Metric.

Why do both dimensions matter?

CloudWatch treats each unique dimension set as a separate metric time series. Selecting both sample dimensions connects the alarm to the exact data point you published.

Set the statistic to Average.
Set the period to one minute.
Set one evaluation period.
Choose a static threshold.
Set the condition to greater than 300000000.
Treat missing data as non-breaching.
Remove every notification action.

How does this alarm behave?

CloudWatch compares the average Buffers value with the static threshold during each one-minute period. One evaluation period is enough to update the alarm state.

The non-breaching missing-data setting keeps absent samples from creating a false incident. Removing notification actions keeps this test focused on dashboard visibility.

Enter myalarm as the alarm name.
Review the preview to confirm the metric configuration.
Choose Create alarm.
Return to All alarms to confirm the new resource.

You should see myalarm listed for the Buffers metric in MyNameSpace.

Good work. myalarm is now a real monitoring resource in your selected AWS Region.

Cannot find the metric or alarm?

Confirm that Amazon CloudWatch uses the same Region as CloudShell.
Select the metric row that includes both sample dimensions.
Check that the alarm name is exactly myalarm.

Ask for help finding the CloudWatch resource.

Prove the mock dashboard is disconnected

The AWS CLI can now read the alarm directly from CloudWatch. Comparing that result with Lovable reveals the exact boundary between the real AWS resource and the mock interface.

Switch back to the CloudShell session from earlier.

Before you run this check, do you expect AWS to return the new alarm?

Retrieve the alarm configuration by running this command:

aws cloudwatch describe-alarms --alarm-names "myalarm"

What does this response prove?

The describe-alarms operation reads the alarm configuration from CloudWatch.
The --alarm-names option limits the response to myalarm.
The JSON response is direct evidence that the alarm exists in AWS.

The JSON response contains myalarm as the AlarmName. It also identifies Buffers as the MetricName inside the MyNameSpace namespace.

Alarm missing from the response?

Confirm that CloudShell uses the Region where you created the alarm.
Confirm that the alarm name contains no spaces or capital letters.
Return to All alarms to confirm that myalarm still appears.

Ask for help diagnosing an empty alarm response.

Switch back to the AWS Incident Pulse preview from earlier.

Before you click Refresh, do you think the new AWS alarm can replace the sample rows?

Click Refresh.

You will see the same sample alarm values. The new myalarm resource remains absent from the table.

This shortfall is intentional. The interface can refresh its mock state, but it has no authenticated path to CloudWatch.

Your test alarm is real while the dashboard remains safely disconnected. Next, you will give Lovable a read-only path to the live CloudWatch data.

Connect Live CloudWatch Data

Your real myalarm alarm now exists in Amazon CloudWatch. However, your Lovable dashboard still has no path to that live data.

In this step, you will create a dedicated identity in AWS Identity and Access Management (IAM). A private AWS API connector will use that identity to replace every sample value with live alarm information.

In this step, get ready to:

Create a dedicated IAM user with two read-only CloudWatch permissions.
Store its long-term access key in a private Lovable AWS API connection.
Replace the sample dashboard values with live alarm states and state-change history.

Create a least-privilege IAM user

A least-privilege identity gives the dashboard only the access it needs. This user can read alarm details plus alarm history.

Protect the access key

AWS recommends temporary credentials for workloads. The AWS API connector currently requires a long-term IAM user access key.

A long-term key can make this step feel sensitive. Keep it out of Lovable prompts.

Keep it out of project files. Keep it out of screenshots.

Switch back to the AWS Management Console from earlier.
Use the console search bar to open AWS Identity and Access Management (IAM).
Select Users.
Choose Create user.
Enter lovable-incident-pulse as the user name.
Keep AWS Management Console access disabled for this user.
Choose Create user.

You should see lovable-incident-pulse in the IAM user list. The dedicated identity is ready for its permissions.

Select lovable-incident-pulse from the Users list.
Open the Permissions tab.
Choose Add permissions.
Choose Create inline policy.

The inline policy defines the complete boundary for this identity. Only two CloudWatch read actions belong inside it.

Add cloudwatch:DescribeAlarms to the inline policy.
Add cloudwatch:DescribeAlarmHistory to the inline policy.
Set the resource scope to * for all resources.
Save the inline policy as IncidentPulseReadOnly.

The Permissions tab should now list IncidentPulseReadOnly. The user has exactly two read actions.

Open the Security credentials tab for lovable-incident-pulse.
Choose Create access key.
Select Third-party service as the use case.
Choose Create access key.
Copy the Access key ID into a secure password manager.
Copy the Secret access key into the same secure password manager.

The sensitive AWS setup is complete. Your dedicated user now has an active access key plus exactly two read permissions.

Can't create the user or access key?

Confirm that your signed-in AWS identity can manage IAM users.
Check that both CloudWatch action names match the policy instructions exactly.
Confirm that you selected Third-party service as the access-key use case.

Ask for help with creating the read-only IAM identity.

Connect the private AWS API connector

Lovable's gateway signs AWS requests on the server. The browser receives alarm data without receiving the access key.

Why use the AWS API connector?

A native CloudWatch dashboard keeps the interface inside AWS. The AWS API connector brings the same telemetry into your custom Lovable dashboard.

An Amazon API Gateway integration with AWS Lambda would require a separate backend. The connector keeps this project focused on alarm visibility.

Return to the private AWS Incident Pulse project in the Lovable dashboard.
Open Connectors.
Select AWS API.
Choose Add connection.
Choose App + chat connector.
Keep the connection private.

Keep the connection private

Pasting a long-term credential can feel risky. Lovable encrypts gateway credentials without exposing them to the app.

Free and Pro published websites are accessible to anyone with the URL. Keep this connected dashboard inside the private editor preview.

Enter AWS Incident Pulse Read Only as the connection name.
Select the same AWS region used by your CloudShell session.
Paste the saved value into Access key ID.
Paste the saved value into Secret access key.
Choose Connect.

Good progress. Lovable now stores the credential inside its gateway-backed connection.

Link AWS Incident Pulse Read Only to the AWS Incident Pulse project from the connection page.

You should see the project listed as linked to the private connection. Lovable can now make the two permitted CloudWatch read calls.

Connection not linking?

Confirm that the connector Region matches the Region shown in CloudShell.
Check that IncidentPulseReadOnly remains attached to lovable-incident-pulse.
Re-enter both credential values directly from your password manager.

Ask for help with linking the private AWS API connection.

Replace sample alarms with live data

The linked connector supplies the missing path to AWS. Your next Lovable prompt defines when to fetch alarms plus how to turn the responses into the existing cards, table, and timeline.

Select Build in the Lovable project.
Replace every sample alarm with live CloudWatch data by pasting this prompt into Ask Lovable to create…:

Use the linked AWS API connection and replace every sample alarm with live Amazon CloudWatch data. Keep the integration read-only. On page load and only when the user clicks Refresh, call DescribeAlarms and derive the OK, ALARM, and INSUFFICIENT_DATA counts from MetricAlarms. Show AlarmName, StateValue, StateReason, StateUpdatedTimestamp, Namespace, and MetricName in the table. When a user selects an alarm, call DescribeAlarmHistory for that AlarmName, request StateUpdate history, and show the newest events first using Timestamp, HistorySummary, and HistoryData. Preserve the existing loading, empty, and error states. Do not poll on a fixed timer and do not add any AWS write action.

What does this prompt change?

DescribeAlarms supplies the live alarm collection when the page loads or the user requests a refresh.
MetricAlarms supplies the fields used by the summary cards plus the alarm table.
DescribeAlarmHistory loads StateUpdate events for the selected alarm.
On-demand reads avoid fixed polling without adding any CloudWatch write capability.

Submit the prompt to Lovable.
Wait for Lovable to finish updating the editor preview.

Before you test the rebuilt dashboard, do you expect myalarm to remain missing or appear in the table?

Click Refresh in the Lovable preview.

You should see myalarm in the alarm table. The summary cards should match the alarm's current CloudWatch state.

Select the myalarm row.

You should see its StateUpdate history ordered with the newest event first. Each event should display its timestamp, history summary, and history data.

Still seeing sample alarms?

Confirm that AWS Incident Pulse Read Only is linked to this project.
Check that the Lovable connection uses the same Region as myalarm.
Confirm that the generated dashboard calls DescribeAlarms when Refresh is clicked.
Confirm that the history request uses DescribeAlarmHistory with StateUpdate history.

Ask for help with debugging the live CloudWatch dashboard.

Your dashboard now reads live CloudWatch alarm health without exposing its AWS credential. Next, you will drive myalarm into a temporary incident state to prove the timeline records a real transition.

Run an Incident Recovery Drill

Your private AWS Incident Pulse dashboard now reads live alarm states and history through Lovable's AWS API connector.

A monitoring dashboard becomes credible when a known failure crosses from Amazon CloudWatch into its incident record.

In this step, you'll use AWS CloudShell to create a controlled alarm transition. Then you'll prove both systems preserve the same event.

In this step, get ready to:

Trigger a temporary ALARM state for myalarm from AWS CloudShell.
Confirm the transition appears in the Lovable timeline.
Compare the CloudWatch alarm history with the dashboard record.

Trigger a temporary alarm state

CloudWatch's SetAlarmState operation creates a temporary state change for testing. The metric continues evaluating after the test.

This drill changes only the temporary state of myalarm. Your metric and alarm configuration stay intact.

Before you run the command, predict whether the alarm will stay in ALARM until you reset it.

Trigger the temporary test state in AWS CloudShell by running this command:

aws cloudwatch set-alarm-state --alarm-name "myalarm" --state-value ALARM --state-reason "testing purposes"

What does this command do?

The set-alarm-state command temporarily changes myalarm to ALARM for testing.
The --state-reason option records "testing purposes" as the reason for the transition.
CloudWatch can return the alarm to its metric-derived state during its next evaluation.
The write action comes from your signed-in CloudShell session. The Lovable connector keeps its two read-only permissions.

Switch back to the private AWS Incident Pulse preview from earlier.
Click Refresh in the dashboard.

You'll see the last-refreshed timestamp update. The current alarm card can show ALARM or its metric-derived state.

Dashboard did not refresh?

Confirm that the private AWS Incident Pulse Read Only connection remains linked to the project. A missing link prevents the dashboard from reading the latest state.

If myalarm is absent, confirm that CloudShell and the connector still use the same AWS Region.

Help me diagnose why AWS Incident Pulse is not showing the latest state of myalarm.

Inspect the live incident timeline

The summary card represents current health. The timeline preserves state changes that happened during the drill.

Select myalarm in the alarm table.

You should see a newest-first StateUpdate event for the temporary ALARM transition. Its details should include the reason testing purposes.

Why can the card and timeline differ?

The card uses DescribeAlarms to show the current state. The timeline uses DescribeAlarmHistory to show previous transitions.

CloudWatch can reevaluate the metric soon after the temporary change. The historical event remains available after the current state changes.

Temporary transition missing?

Click Refresh in the private preview.
Select myalarm again after the refresh completes.
Confirm that the selected alarm's timeline displays StateUpdate history.

Help me find the temporary ALARM transition in the AWS Incident Pulse timeline.

Verify the recorded alarm history

CloudWatch alarm history provides a second source of truth for the drill. Its event details should match the record rendered by Lovable.

Before you query the history, predict which details will match the Lovable timeline.

Retrieve the recorded state changes from AWS CloudShell by running this command:

aws cloudwatch describe-alarm-history --alarm-name "myalarm" --history-item-type StateUpdate

What does this command verify?

The describe-alarm-history command retrieves the recorded history for myalarm.
The --history-item-type StateUpdate option limits the response to alarm state changes.
The Timestamp and HistorySummary fields provide the details you can compare with the dashboard.

Locate the StateUpdate event for the temporary ALARM transition.
Compare its Timestamp with the corresponding event in the Lovable timeline.
Compare its HistorySummary with the corresponding timeline summary.

The CloudWatch response and the Lovable timeline should describe the same temporary transition. The history can also include the alarm's return to its metric-derived state.

History and timeline do not match?

Confirm that the command output belongs to myalarm in the selected Region. A different Region can contain a different alarm history.

Click Refresh in the private Lovable preview.
Select myalarm again after the live data loads.

Help me compare the CloudWatch alarm history with the Lovable timeline.

That closes the loop: a controlled CloudWatch incident crossed into Lovable. Its transition remains available for after-the-fact review.

Secret mission

Add Incident Briefing Mode

Turn the live alarm data already in your browser into a focused incident view. You will hide healthy alarms, generate a copy-ready briefing for the selected problem, and provide clear feedback when the briefing is copied.

Clean Up Your Resources

This project is expected to stay within included allowances from Lovable and Amazon CloudWatch. Choose whether to keep the setup running, pause live AWS reads, or delete the resources entirely.

Cost warning

The CloudWatch free tier includes 10 custom or detailed-monitoring metrics. It also includes 10 standard-resolution alarm metrics.

Lovable credits can run out after its included grants are used. AWS charges can apply after CloudWatch's included allowances are exceeded.

Choose Pause or Delete if you do not plan to keep using the live dashboard.

Resources you used:

Private AWS Incident Pulse project in Lovable.
Private AWS Incident Pulse Read Only AWS API connection linked to the project.
Dedicated AWS Identity and Access Management (IAM) user named lovable-incident-pulse.
Inline IAM policy named IncidentPulseReadOnly.
Active long-term access key for lovable-incident-pulse.
Custom CloudWatch metric named Buffers in MyNameSpace.
Standard-resolution CloudWatch alarm named myalarm.

Keep everything running

No action is needed. Choose this if you want to adapt AWS Incident Pulse to monitor your existing application alarms.

The AWS Incident Pulse project stays private in Lovable.
The AWS Incident Pulse Read Only connection stays linked.
The lovable-incident-pulse user keeps its read-only CloudWatch permissions.
The active access key continues to support live AWS reads.
The myalarm configuration remains available.
The recorded drill history remains available for incident review.
The MyNameSpace metric remains available for future Buffers samples.

Pause - I'll come back to this later

Pause live AWS reads while keeping the dashboard and monitoring resources for later. Deactivating the key can feel final, but it leaves the credential in place.

Return to the AWS Incident Pulse project in Lovable.
Unlink the AWS Incident Pulse Read Only connection from the project.
Return to the IAM console from earlier.
Select Users.
Select lovable-incident-pulse.
Select the Security credentials tab.
Deactivate the active access key.

You've safely paused live AWS reads without deleting the dashboard. Your alarm and drill history remain available.

Delete - I don't want to use this again

Deleting the connector, identity, project, and alarm is permanent. Stopping metric publication prevents new sample data from entering the custom metric.

Return to Connectors in Lovable.
Select AWS API.
Open AWS Incident Pulse Read Only.
Delete the connection.
Return to the Lovable dashboard.
Delete the private AWS Incident Pulse project.

What happens to the connector credentials?

Lovable removes the encrypted connector credentials when you delete the connection. The deleted connection can no longer sign AWS requests.

Return to the IAM console from earlier.
Select Users.
Select lovable-incident-pulse.
Select the Permissions tab.
Delete the IncidentPulseReadOnly inline policy.
Select the Security credentials tab.
Delete the active access key.
Delete the lovable-incident-pulse user from Users.

The shared AWS identity is now gone. The remaining cleanup removes the test alarm and stops new metric samples.

Switch back to AWS CloudShell from earlier.
Delete myalarm by running this command:

aws cloudwatch delete-alarms --alarm-names myalarm

What does this command do?

This removes myalarm from the selected AWS Region. The command returns to the prompt when the deletion succeeds.

Return to Amazon CloudWatch from earlier.
Select Alarms.
Select All alarms.
Confirm that myalarm no longer appears.
Stop publishing MyNameSpace/Buffers samples by leaving the sample metric command unused.

That closes the AWS side of the project. No new sample data enters MyNameSpace/Buffers after you stop publishing it.

Nice Work!

Excellent work! Your private AWS Incident Pulse dashboard in Lovable now reads live Amazon CloudWatch alarm health.

You've learned how to:

Build a responsive incident dashboard that turns live alarm state and history into current-health checks plus after-the-fact incident review.
Create a controlled alarm drill in Amazon CloudWatch. Verify its temporary ALARM transition through AWS CloudShell plus the live dashboard.
Connect Lovable to AWS through a dedicated least-privilege IAM identity. Keep live reads limited to alarm state and state-change history.
Secret Mission: Added an Incident Briefing mode that isolates active problems. It creates a copy-ready incident handoff from already loaded alarm data.

Ready to quiz yourself?