This alert monitors the errors of Amazon S3 Buckets to ensure that server-side errors (5xx errors) remain within acceptable limits. The alert is triggered when the 5xx error rate exceeds 5 errors over a 10-minute period. High 5xx error counts indicate issues with the origin server, S3 itself, or the network. These errors can significantly impact the performance and availability of web applications, leading to a poor user experience. Prompt detection and resolution of these errors are crucial for maintaining service reliability. Customization Guidance Threshold The default threshold is set to trigger the alert when 5xx errors exceed 5 within the monitoring period. Adjust this threshold based on historical error counts observed. Lower thresholds may be suitable for high-availability environments. Monitoring Period The standard monitoring period is 10 minutes. Adjust this period to be shorter for more immediate detection or longer for trend analysis, depending on your operational requirements. Region Specificity Define specific regions to monitor if your services have regional dependencies or if certain regions are more critical to your operations. This ensures that alerts are relevant and actionable. Notification Frequency Balance the alert frequency to optimize responsiveness while minimizing noise. Adjust according to the criticality of uninterrupted operation. Action Upon triggering, review S3 logs to identify patterns or specific requests causing the errors. Verify the health and performance of your origin servers. Ensure that the S3 Bucket settings are correctly configured, including the connection settings. If the origin server is overloaded, consider scaling up resources or distributing the load across additional servers. If configuration issues are identified, deploy the necessary fixes to resolve the errors. Ensure that all software components, including web servers and application servers, are up to date and free from known issues.

This alert monitors the errors of Amazon S3 Buckets to ensure that client-side errors (4xx errors) remain within acceptable limits. The alert is triggered when the 4xx error rate exceeds 5 errors over a 10-minute period. High 4xx error counts indicate issues with the client requests, such as incorrect URLs, authentication failures, or permission issues. These errors can significantly impact the performance and availability of web applications, leading to a poor user experience. Prompt detection and resolution of these errors are crucial for maintaining service reliability. Customization Guidance Threshold The default threshold is set to trigger the alert when 4xx errors exceed 5 within the monitoring period. Adjust this threshold based on historical error counts observed. Lower thresholds may be suitable for high-availability environments. Monitoring Period The standard monitoring period is 10 minutes. Adjust this period to be shorter for more immediate detection or longer for trend analysis, depending on your operational requirements. Region Specificity Define specific regions to monitor if your services have regional dependencies or if certain regions are more critical to your operations. This ensures that alerts are relevant and actionable. Notification Frequency Balance the alert frequency to optimize responsiveness while minimizing noise. Adjust according to the criticality of uninterrupted operation. Action Upon triggering, review S3 logs to identify patterns or specific requests causing the errors. Verify the client configurations and the permissions set for accessing the S3 Buckets. Ensure that the S3 Bucket settings, including access policies, are correctly configured. If specific requests are causing repeated errors, work with the clients to correct their requests. If configuration issues are identified, deploy the necessary fixes to resolve the errors. Ensure that all software components involved in making the requests are up to date and correctly configured.

This alert monitors the total request latency of Amazon S3 Buckets to ensure that it remains within acceptable limits. The alert is triggered when the request latency exceeds a predefined threshold over a 10-minute period.Total request latency measures the time taken from when a request is made to Amazon S3 until a response is received High total request latency can indicate potential issues with the origin server, Amazon S3 itself, or the network. These latency issues can significantly impact the performance and availability of web applications, leading to a poor user experience. Prompt detection and resolution of these latency issues are crucial for maintaining service reliability. Customization Guidance Threshold The default threshold is set to trigger the alert when the request latency exceeds a predefined limit within the monitoring period. Adjust this threshold based on historical latency data observed. Lower thresholds may be suitable for high-availability environments. Monitoring Period The standard monitoring period is 10 minutes. Adjust this period to be shorter for more immediate detection or longer for trend analysis, depending on your operational requirements. Region Specificity Define specific regions to monitor if your services have regional dependencies or if certain regions are more critical to your operations. This ensures that alerts are relevant and actionable. Notification Frequency Balance the alert frequency to optimize responsiveness while minimizing noise. Adjust according to the criticality of uninterrupted operation. Action Upon triggering, review Amazon S3 logs to identify patterns or specific requests causing the high latency. Verify the health and performance of your origin servers and the network infrastructure. Ensure that the Amazon S3 Bucket settings, including connection settings, are correctly configured. If the origin server is overloaded, consider scaling up resources or distributing the load across additional servers. Investigate any potential network issues that may be contributing to the increased latency. If configuration issues are identified, deploy the necessary fixes to resolve them. Ensure that all software components, including web servers and application servers, are up to date and optimized for performance.

This alert monitors the first byte latency of Amazon S3 Buckets to ensure that it remains within acceptable limits. The alert is triggered when the first byte latency exceeds a predefined threshold over a 10-minute period. First byte latency measures the time taken for the first byte of data to be received after a request is made to the server. High first byte latency can indicate potential issues with the origin server, Amazon S3 itself, or the network. These latency issues can significantly impact the performance and availability of web applications, leading to a poor user experience. Prompt detection and resolution of these latency issues are crucial for maintaining service reliability. Customisation Guidance Threshold The default threshold is set to trigger the alert when the first byte latency exceeds a predefined limit within the monitoring period. Adjust this threshold based on historical latency data observed. Lower thresholds may be suitable for high-availability environments. Monitoring Period The standard monitoring period is 10 minutes. Adjust this period to be shorter for more immediate detection or longer for trend analysis, depending on your operational requirements. Region Specificity Define specific regions to monitor if your services have regional dependencies or if certain regions are more critical to your operations. This ensures that alerts are relevant and actionable. Notification Frequency Balance the alert frequency to optimize responsiveness while minimizing noise. Adjust according to the criticality of uninterrupted operation. Action Upon triggering, review Amazon S3 logs to identify patterns or specific requests causing the high first byte latency. Verify the health and performance of your origin servers and the network infrastructure. Ensure that the Amazon S3 Bucket settings, including connection settings, are correctly configured. If the origin server is overloaded, consider scaling up resources or distributing the load across additional servers. Investigate any potential network issues that may be contributing to the increased latency. If configuration issues are identified, deploy the necessary fixes to resolve them. Ensure that all software components, including web servers and application servers, are up to date and optimized for performance.