Aws Canary Troubleshooting Guide – How to Solve Common Issues and Optimize Your Canary Tests

Monitoring your applications and infrastructure is crucial for maintaining their health and performance. AWS offers a powerful solution for monitoring and alerting called AWS canary. It allows you to create scripts that simulate user behavior and monitor key metrics, providing valuable insights into your system’s health.

However, like any monitoring tool, AWS canary can encounter issues that need troubleshooting. This article will guide you through the troubleshooting process, helping you identify and resolve any problems that may arise.

One of the first steps in troubleshooting AWS canary is to check your configuration. Ensure that you have set up your canaries correctly, including defining the desired metrics and setting up appropriate thresholds for alerts. Incorrect or missing configuration parameters can result in inaccurate monitoring data and false alerts.

Next, it is essential to analyze the metrics generated by your canaries. AWS provides a comprehensive set of metrics that can give you insights into various aspects of your system’s performance, such as response time, error rate, and resource utilization. Review these metrics to identify any anomalies or trends that may indicate issues with your application or infrastructure.

Performing diagnostics is another crucial aspect of troubleshooting AWS canary. Diagnostics tools, like AWS CloudWatch Logs and AWS X-Ray, can help you gain deeper visibility into the behavior of your canaries and the underlying infrastructure. Analyze the logs and traces to identify any errors, exceptions, or bottlenecks that can be affecting the performance of your canaries.

Finally, configure appropriate alerts to notify you when issues are detected. AWS canary allows you to set up alarms based on specific conditions, such as exceeding a certain threshold for a metric or receiving an error during script execution. By configuring alerts, you can receive timely notifications and take immediate actions to resolve any problems.

In conclusion, troubleshooting AWS canary involves checking your configuration, analyzing metrics, performing diagnostics, and setting up alerts. By following these steps, you can effectively identify and resolve any issues with your AWS canaries, ensuring the smooth operation of your applications and infrastructure.

Aws canary troubleshooting

When troubleshooting issues with AWS Canary, there are several steps that you can take to identify and resolve the problem.

1. Check the configuration:

• Ensure that the canary is configured correctly, including the correct AWS services, endpoints, and intervals.
• Review any recent changes to the configuration and verify that they are not causing the issue.

2. Review the logs:

• Check the canary’s logs for any error messages or exceptions that may indicate the cause of the problem.
• Look for any patterns or trends in the logs that may suggest a specific issue.

3. Monitor metrics:

• Use AWS CloudWatch to monitor the canary’s metrics, such as response time and success rate.
• If you notice any anomalies or deviations from the expected metrics, investigate further to determine the root cause.

4. Configure alerts:

• Set up alerts in AWS CloudWatch to notify you when specific metrics or events occur.
• Configure alerts to trigger actions, such as sending notifications or taking automated remediation steps.

5. Seek support:

• If you are unable to resolve the issue on your own, reach out to AWS support for further assistance.
• Provide them with relevant information, such as logs, metrics, and any steps you have already taken to troubleshoot the issue.

By following these troubleshooting steps, you can effectively identify and resolve issues with your AWS Canary.

Common issues with AWS canary

When using AWS canary for monitoring your services and applications, you may encounter a few common issues that can affect the accuracy of your metrics and diagnostics. These issues can be related to configuration errors, limitations, or troubleshooting problems.

1. Configuration Errors

One common issue with AWS canary is configuration errors. It’s important to double-check your canary configuration to ensure that you have configured all the necessary metrics and settings correctly. Incorrect configuration can lead to false alerts or inaccurate monitoring results.

2. Limitations

Another common issue is the limitations of AWS canary. The metrics and diagnostics provided by canaries may have certain limitations and may not capture all the necessary data for your specific use case. It’s important to understand these limitations and ensure that the canary is suitable for your monitoring needs.

3. Troubleshooting Problems

If you encounter issues with your canary, troubleshooting can be challenging. It’s important to review the canary’s execution logs and error messages to identify any potential problems. AWS provides detailed documentation and support resources that can help you troubleshoot canary-related issues.

In summary, when using AWS canary, it’s essential to pay attention to the configuration, be aware of the limitations, and be prepared to troubleshoot any potential issues. Regularly reviewing and fine-tuning your canaries can ensure accurate metrics and reliable monitoring for your AWS services and applications.

Troubleshooting steps for AWS canary

When troubleshooting issues with AWS canary, it is important to follow a systematic approach to identify and resolve the problem efficiently. Here are some steps you can follow:

1. Review the metrics: Start by reviewing the metrics provided by the AWS canary. Look for any anomalies or abnormalities that could be causing the issue. Pay attention to metrics such as response time, error rate, and resource utilization.
2. Perform diagnostics: If the metrics indicate a problem, perform diagnostics on the canary. Use AWS cloud monitoring tools or third-party monitoring tools to gather more detailed information about the canary’s performance and behavior. This can help you pinpoint the source of the problem.
3. Check monitoring and alerts: Ensure that monitoring and alerting tools are properly configured for the canary. Verify that you are receiving alerts for any critical events or failures. Adjust the thresholds and parameters if necessary to ensure timely alerts.
4. Review logs: Examine the logs generated by the canary for any error messages or exceptions. Logs can provide valuable insights into the runtime behavior of the canary and help identify the root cause of the issue.
5. Inspect canary configuration: Review the configuration settings for the canary. Ensure that the necessary resources and permissions are properly configured. Check for any misconfigurations or inconsistencies that could be contributing to the problem.
6. Reach out to support: If you are unable to identify or resolve the issue on your own, don’t hesitate to reach out to AWS support. They can provide additional guidance and assistance in troubleshooting the problem with your canary.

By following these troubleshooting steps, you should be able to effectively identify and resolve any issues with your AWS canary. Remember to document your findings and solutions for future reference.

How to identify performance issues with AWS canary

When troubleshooting performance issues with AWS canary, it’s important to gather the right metrics and diagnostics to monitor your canary’s performance. This information will help you identify and resolve any configuration or underlying issues that may be causing performance problems.

Gather Metrics

Start by collecting relevant metrics from your AWS canary. This includes metrics such as response times, error rates, CPU usage, and memory usage. These metrics will give you an overview of how your canary is performing and help you pinpoint any bottlenecks or areas of concern.

Use AWS CloudWatch to monitor these metrics and set up alerts based on defined thresholds. This will allow you to proactively address any potential performance issues before they impact your canary’s performance.

Review Configuration

Another crucial step in troubleshooting AWS canary performance issues is to review the canary’s configuration. Make sure that you have properly configured your canary with the correct endpoints, data inputs, and expected outputs.

Check that you have set appropriate timeout values for your canary to ensure it has enough time to execute its tasks without impacting its performance. Adjusting these values can sometimes resolve performance issues.

Analyze Logs

Reviewing the logs generated by your canary is essential for diagnosing performance issues. Look for any error messages, excessive retries, or delays in the logs that could indicate a problem with your canary’s execution.

If your canary is writing its own logs, consider enabling additional logging levels to get more detailed information about its actions and performance. This can help you identify specific areas where improvements can be made.

Additionally, use AWS CloudWatch Logs to centralize and analyze your canary’s logs, making it easier to search for specific patterns or troubleshoot specific issues.

Set up Alerts

Lastly, configure alerts based on the metrics and log analysis you’ve performed. This will notify you when your canary’s performance falls below acceptable levels or if any errors are detected.

By setting up alerts, you can proactively address performance issues and ensure that your AWS canary is running smoothly. Regularly monitor these alerts and take appropriate action to resolve any identified issues.

In conclusion, troubleshooting performance issues with AWS canary involves gathering essential metrics, reviewing configuration settings, analyzing logs, and setting up alerts. Following these steps will help you identify and resolve any issues that might impact your canary’s performance.

Debugging AWS canary network connectivity problems

When using AWS canary to monitor your network resources, it is essential to ensure that the canary is properly configured and functioning correctly. If you encounter network connectivity problems with your canary, there are several troubleshooting steps you can follow to identify and resolve the issues.

1. Check Canary Configuration: Verify that the canary’s configuration settings, such as target URLs or IP addresses, are accurate and up to date. Incorrect configuration can lead to connectivity problems.
2. Monitor Canary Logs and Metrics: AWS canary provides logs and metrics that can help you understand the behavior and performance of your canary. Check the logs to identify any errors or issues that may be impacting network connectivity.
3. Review Network Monitoring Data: Use network monitoring tools and data to identify any network issues or bottlenecks that may be affecting the canary’s connectivity. Look for anomalies or patterns that could indicate a problem.
4. Verify Network Access: Ensure that the canary has the necessary network access to reach the target resources. Check network security groups, firewalls, and routing configurations to confirm that the canary is allowed to communicate with the desired endpoints.
5. Test Connectivity Manually: Try accessing the target resources manually from a different network or device. This can help isolate the issue and determine if the problem is specific to the canary or a broader network problem.

If you have followed these steps and are still experiencing network connectivity problems with your canary, it may be helpful to reach out to AWS support for further assistance. They can provide guidance and help troubleshoot the issue based on specific details and logs related to your canary.

Remember, network connectivity problems can impact the accuracy and effectiveness of your canary’s alerts and monitoring. Regularly monitoring and troubleshooting network connectivity is crucial to maintaining reliable monitoring and alerting for your AWS canary.

Troubleshooting AWS canary script errors

When monitoring your AWS resources, it is crucial to have the right metrics and alerts in place. AWS canary is a powerful tool that allows you to create synthetic monitoring scripts to check the health and performance of your applications. However, there may be cases where you encounter script errors while using AWS canary. In this section, we will explore troubleshooting steps to resolve these issues.

1. Review the canary script: The first step in troubleshooting script errors is to carefully review the canary script. Check for any syntax errors or typos that may be causing the issue. Ensure that the script is correctly configured and has the necessary permissions to access the required resources.

2. Check the diagnostics and logs: AWS canary provides diagnostics and logs that can help you troubleshoot script errors. Review the canary’s diagnostic data to identify any underlying issues. Check the logs for any error messages or warnings that may give you insights into the problem.

3. Validate AWS service permissions: Ensure that the AWS service being monitored by the canary has the necessary permissions. The canary script may fail if it does not have appropriate permissions to access the required AWS resources. Review the AWS Identity and Access Management (IAM) policies and roles associated with the canary to ensure they are correctly configured.

4. Test the canary script locally: To further troubleshoot script errors, you can test the canary script locally. Set up a testing environment that closely resembles the production environment and execute the script. This can help identify any issues specific to the production environment that may be causing the errors.

5. Reach out to AWS support: If you have exhausted all troubleshooting steps and are still unable to resolve the script errors, it is recommended to reach out to AWS support. AWS support can provide further assistance in identifying and resolving the issues you are facing with your canary script.

By following these troubleshooting steps, you can effectively diagnose and resolve script errors with AWS canary, ensuring that your monitoring setup is functioning correctly.

Investigating AWS canary permission issues

When troubleshooting issues with AWS canary, it is important to consider any potential permission problems that can prevent proper monitoring and alerting. Permissions play a crucial role in granting AWS canaries access to the necessary resources and data to perform their monitoring tasks.

Inspecting Canary Configuration

Start by reviewing the canary configuration to validate that the appropriate permissions have been granted. Ensure that the canary has the necessary permissions to access the required AWS services, such as CloudWatch, Lambda, or others.

Check the IAM role associated with the canary to ensure that it has the necessary policies attached. In some cases, the IAM role may not have the required permissions, resulting in issues with data collection and metric reporting.

Reviewing Monitoring Metrics and Alerts

Verify that the canary is configured to monitor the correct metrics and generate alerts when necessary. It is possible that incorrect metric configuration can lead to permission issues, as the canary may not have access to certain metrics or AWS resources.

Check if any alarms or alerts associated with the canary are triggered. If they are not, it may indicate a permission issue preventing the canary from accessing the necessary data or resources to evaluate the alert conditions.

Diagnosing with Logs and Diagnostics

Inspect the canary’s execution logs to find any clues about permission problems. The logs can provide valuable information about the canary’s actions, any errors it encountered, and potential permission-related issues.

Additionally, AWS provides diagnostic tools, such as CloudWatch Logs Insights or X-Ray, which can help identify any permission-related problems. These tools enable deeper analysis into the canary’s behavior and interactions with AWS services, revealing any permission restrictions or errors.

By following these steps and investigating AWS canary permission issues thoroughly, you can ensure that your canaries have the necessary access to resources and data for effective monitoring and alerting.

Monitoring AWS canary logs

Monitoring the logs of your AWS canary is a crucial part of troubleshooting and diagnosing issues. The logs provide valuable insights into the canary’s behavior, allowing you to identify and address any problems that may arise.

AWS canary logs contain important information about the canary’s execution, including the timestamp, event type, error messages, and performance metrics. By analyzing these logs, you can gain a better understanding of how the canary is performing and identify any issues that may affect its reliability and accuracy.

There are several ways to monitor AWS canary logs. One option is to use the AWS Management Console, which provides a user-friendly interface to view and analyze the logs. From the console, you can navigate to the CloudWatch Logs service and access the logs for your canary.

Another option is to use the AWS Command Line Interface (CLI) to retrieve and analyze the logs. The CLI provides commands that allow you to interact with the logs directly from your terminal or command prompt. You can use the aws logs command to retrieve the logs and the grep command to search for specific information within the logs.

In addition to monitoring the canary logs, you can also configure CloudWatch Alarms to send notifications when certain events or metrics exceed predefined thresholds. By setting up alarms, you can proactively detect and respond to any anomalies or issues that may arise with your canary.

When troubleshooting issues with your AWS canary, it is essential to review the logs thoroughly. Look for any error messages or warnings that may indicate problems with the canary’s configuration or execution. Pay attention to the performance metrics, such as response time and success rate, to identify any performance issues.

By actively monitoring and analyzing the logs of your AWS canary, you can quickly identify and resolve any issues that may arise. This proactive approach ensures the canary operates effectively and provides reliable monitoring and diagnostics for your AWS resources.

Resolving AWS canary scheduling conflicts

When working with AWS canaries, it’s possible to encounter scheduling conflicts that can affect the proper execution of your canary. In order to diagnose and resolve these issues, you can utilize various metrics, diagnostics, and logs provided by AWS.

Monitoring canary metrics

One essential step in troubleshooting canary scheduling conflicts is to monitor the metrics of your canary. AWS canaries provide valuable performance data that can help pinpoint the cause of scheduling conflicts. By examining metrics such as latency, success rate, and duration, you can identify patterns or anomalies that may be contributing to the scheduling conflicts.

Reviewing canary configuration

Another important aspect to consider is your canary’s configuration. Double-check if the scheduling settings are properly configured and not conflicting with other canaries or resources in your AWS environment. Ensure that there are no overlaps or gaps in the schedule that might cause conflicts. Adjusting the configuration parameters may help resolve the scheduling conflicts.

Inspecting diagnostics and logs

When troubleshooting canary scheduling conflicts, it’s crucial to inspect the diagnostics and logs provided by AWS. Diagnostics can give you insights into the internal behavior and health of your canary. Logs can provide additional information about any errors or issues encountered during the execution of the canary. Analyzing these diagnostics and logs can help identify any underlying problems causing the scheduling conflicts.

Setting up alerts

To proactively address scheduling conflicts, consider setting up alerts for your canaries. AWS provides a range of monitoring and alerting mechanisms that can notify you of any scheduling conflicts or anomalies detected in your canaries. These alerts can trigger notifications via email, SMS, or other channels, allowing you to take immediate action and resolve any scheduling conflicts promptly.

By following these troubleshooting steps and utilizing the available resources provided by AWS, you can effectively resolve scheduling conflicts in AWS canaries and ensure the smooth execution of your monitoring tasks.

Managing AWS canary resource limitations

When using AWS canary for monitoring and running synthetic tests, it’s important to be aware of the resource limitations that can affect the performance and reliability of your canaries. By proactively managing these limitations, you can ensure that your canaries continue to operate effectively and provide accurate monitoring results.

Understanding resource limitations

AWS canary is designed to run synthetic tests against your AWS resources to verify their performance and availability. These tests simulate real user interactions and provide valuable insights into the health of your applications and services.

However, canaries have certain resource limitations that you should be aware of. These include limitations on memory, CPU, network bandwidth, and storage capacity. If a canary exceeds these limitations, it may lead to performance issues, incomplete tests, or even failures.

Monitoring resource usage

To effectively manage resource limitations, it’s important to monitor the resource usage of your canaries. AWS canary provides built-in alerts and metrics that allow you to track the resource consumption of your canaries over time.

By regularly reviewing the performance metrics and setting up appropriate alerts, you can identify any resource bottlenecks or abnormal usage patterns. This proactive monitoring approach enables you to take corrective actions before resource limitations impact the reliability of your canaries.

Diagnostics and configuration

If you encounter resource limitations or performance issues with your canaries, you can use the diagnostics and configuration options provided by AWS canary to troubleshoot and optimize their performance.

By analyzing the logs and diagnostics data generated by your canaries, you can identify any bottlenecks or inefficiencies that may be causing resource limitations. Additionally, you can adjust the canary’s configuration settings, such as test frequency or test scope, to optimize its resource usage.

It’s important to note that managing resource limitations is an ongoing process. As your applications and services evolve, their resource requirements may change, necessitating regular review and adjustment of your canary configurations.

In conclusion, effective management of AWS canary resource limitations is critical for maintaining the performance and reliability of your canaries. By monitoring resource usage, utilizing diagnostics and configuration options, and proactively adjusting your canary configurations, you can ensure that your canaries continue to provide accurate monitoring and insights into the health of your AWS resources.

Addressing AWS canary dependency issues

When troubleshooting issues with AWS canary, it is important to consider the dependencies and configurations that can affect its performance. Here are some steps to address dependency issues with AWS canary:

1. Monitor metrics: Start by monitoring the metrics of the AWS canary to identify any abnormal behavior or fluctuations that might indicate dependency issues. Look for metrics related to latency, error rates, and resource usage.

2. Check configuration settings: Review the configuration settings of the AWS canary to ensure that all the dependencies are correctly set up. This includes verifying that the appropriate API credentials, permissions, and resource configurations are in place.

3. Diagnose using monitoring tools: Utilize AWS monitoring tools such as AWS CloudWatch to gather diagnostic information about the canary. Look for any error messages, alerts, or anomalies that might point to dependency-related issues.

4. Analyze logs: Examine the logs generated by the AWS canary to get more insights into its behavior and any potential dependency issues. Look for error messages, timeouts, or any other indicators of dependency-related problems.

5. Collaborate with AWS support: If the above steps don’t resolve the dependency issues, consider reaching out to AWS support for assistance. They can provide further guidance and help troubleshoot complex dependency problems.

By following these steps and diligently analyzing the metrics, configuration settings, monitoring data, diagnostics, and logs, you can address and resolve dependency issues with your AWS canary.

Troubleshooting AWS canary authentication problems

When using AWS canary for monitoring and diagnostics, authentication problems can sometimes occur. These issues are often related to misconfigurations or incorrect access keys. In order to troubleshoot authentication problems with AWS canary, the following steps can be taken:

1. Verify AWS configuration

First, ensure that the AWS canary is properly configured with the correct access key and secret access key. These can be found in the AWS Management Console, under the IAM (Identity and Access Management) section. Double-check that the access keys are accurate and have the necessary permissions to perform the canary’s actions.

2. Review AWS logs

If the canary is still experiencing authentication problems, it’s useful to review the AWS logs for any error messages or warnings related to authentication. These logs can provide valuable insights into the issue and help troubleshoot the problem further.

3. Check IAM roles and policies

Another potential cause of authentication problems is incorrect IAM roles or policies. Ensure that the IAM roles assigned to the canary have the necessary permissions to access the resources it needs to monitor. Additionally, review the IAM policies to confirm that they are correctly configured for the canary’s requirements.

4. Verify AWS region

Make sure that the canary’s AWS region is correctly configured. If the region is incorrect, authentication problems may occur. Verify that the canary is configured to operate in the desired region and adjust as necessary.

5. Enable AWS CloudTrail for advanced diagnostics

Enabling AWS CloudTrail can provide advanced diagnostic capabilities for troubleshooting authentication problems. CloudTrail logs can capture detailed information about authentication attempts, which can be invaluable in identifying the root cause of the issue.

In conclusion, troubleshooting authentication problems with AWS canary requires carefully reviewing the configuration, monitoring AWS logs, and ensuring the correct IAM roles and policies are in place. Utilizing advanced diagnostics tools like AWS CloudTrail can also greatly assist in identifying and resolving authentication issues with AWS canary.

Handling AWS canary timeout errors

When using AWS canary for monitoring and troubleshooting, you may encounter timeout errors. These errors occur when the canary script takes longer than expected to complete its execution. Here are some steps to handle these timeout errors:

1. Check the canary configuration

Review the canary configuration to ensure that it is properly set up. Check if the canary script has any dependencies or external calls that could cause delays. Adjusting the canary timeout and interval settings can also help in resolving the timeouts.

2. Diagnose the issue

Run diagnostics to identify the root cause of the timeout. Use cloudwatch logs and metrics to analyze the canary execution and identify any factors that could be causing delays. Look for any spikes in CPU or memory usage that could indicate performance issues.

3. Optimize the canary script

Review the canary script and optimize it to improve performance. This could involve rewriting the script to eliminate any unnecessary or redundant steps, reducing the number of API calls, or optimizing resource utilization.

4. Set up alerts and notifications

Configure alerts and notifications to be notified when a canary timeout occurs. This will allow you to quickly respond to any issues and take appropriate actions.

5. Monitor key metrics

Continuously monitor key metrics related to the canary script, such as execution time, success rate, and error rate. This will help you identify any trends or patterns that could be causing the timeouts and take preventive measures.

By following these troubleshooting steps, you can effectively handle AWS canary timeout errors and ensure the smooth monitoring and troubleshooting of your application.

Best practices for AWS canary troubleshooting

When troubleshooting issues with AWS canary, it is important to follow best practices to effectively identify and resolve problems. Here are some tips to help you troubleshoot canary-related problems:

1. Keep an eye on alerts: Monitor canary alerts to promptly identify any issues. Configure appropriate notification settings to ensure you are alerted in real-time.
2. Review AWS diagnostics: Utilize AWS CloudWatch Metrics and CloudWatch Logs to gather diagnostic information about your canaries. This can help in pinpointing the root cause of issues.
3. Double-check canary configuration: Verify that the canary is configured correctly with the appropriate settings and permissions. Check for any misconfigurations that could be causing problems.
4. Analyze canary logs: Review the canary execution logs to gain insights into its behavior and any errors encountered. Analyzing the logs can provide valuable information for troubleshooting.
5. Perform regular monitoring: Continuously monitor the performance and behavior of your canaries. Regularly review the logs and metrics to detect any anomalies or degradation.

By following these best practices, you can enhance your troubleshooting capabilities and effectively resolve issues with AWS canary. Remember to stay vigilant and proactive in your troubleshooting efforts to ensure the smooth functioning of your canaries.

Question-answer:

What is AWS canary?

AWS canary is a synthetic monitoring service provided by Amazon Web Services (AWS) that allows you to monitor your web applications and endpoints. A canary is a script that runs on a schedule and simulates user actions, such as clicking buttons and interacting with forms, to ensure that your application is functioning correctly.

How can I troubleshoot issues with AWS canary?

If you are experiencing issues with AWS canary, there are several troubleshooting steps you can take. First, check the AWS CloudWatch console for any error messages or logs related to your canary. Additionally, you can review the canary’s configuration to ensure that it is set up correctly. You can also try running the canary manually to see if it encounters any issues. If all else fails, you can contact AWS support for further assistance.

What are some common issues that can occur with AWS canary?

There are several common issues that can occur with AWS canary. One common issue is a connectivity problem, where the canary is unable to connect to the target application or endpoint. Another issue could be with the canary script itself, such as errors in the script or incorrect configuration settings. Additionally, the target application or endpoint may be experiencing issues that prevent the canary from running successfully.

Can I troubleshoot issues with AWS canary using AWS CloudWatch?

Yes, you can troubleshoot issues with AWS canary using AWS CloudWatch. CloudWatch provides various monitoring and troubleshooting features that can help you identify and resolve issues with your canaries. You can view canary logs, metrics, and error messages in the CloudWatch console to gain insights into the behavior and performance of your canaries. This can help you pinpoint the source of any issues and take appropriate actions to resolve them.

What should I do if my AWS canary is not working as expected?

If your AWS canary is not working as expected, there are several steps you can take to troubleshoot the issue. First, check the canary’s configuration to ensure that all settings are correct. Make sure that the target application or endpoint is accessible and functioning properly. Review any error messages or logs in the AWS CloudWatch console for insights into the issue. If necessary, try running the canary manually to see if it encounters any errors. If the issue persists, consider reaching out to AWS support for further assistance.

What is AWS canary and what does it do?

AWS canary is a monitoring service provided by Amazon Web Services. It allows you to monitor and troubleshoot issues with your applications and infrastructure by continuously running synthetic transactions. These transactions simulate user interactions with your applications and provide insights into the performance and availability of your systems.