Traditional application development emits events in the form of logs. Use CloudWatch we can generate metrics from our logs using pattern matching. By generating metrics based on observed log messages we can increase the value of our CloudWatch logs by providing visualizations of the metric data through dashboard, and providing alerts when metrics breach baseline thresholds. Using the AWS CLI or API you can publish your own custom metrics.
Create a Confidence metric
Monitoring for Business Outcomes Titus Grone wants to know that ExampleCorp is delighting our customers. Feedback from the customer indicates that accuracy of items identified in the upload images is the greatest source of satisfaction when it works well, and frustration when it does not. Focus groups indicate that it is better to not have misidentified (low confidence) objects.
He wants to track the image recognition confidence levels as a measure of how accurate the ExampleCorp application is performing. He will use this information to help determine where to focus development efforts.
4.1 Create the Log Metric
In the contents pane, select the application.log group by clicking on the radio button next to it, and then choose Create Metric Filter.
On the Define Logs Metric Filter screen, for Filter Pattern, type:
[logType, myTimestamp, severity, delim1, delim2, type, action, for, Image, imgNum, Name, imgTags, Confidence, cValue]
To test your filter pattern, for Select Log Data to Test, select the log group to test the metric filter against, and then choose Test Pattern.
Under Results, CloudWatch Logs displays a message showing how many occurrences of the filter pattern were found in the log file. To see detailed results, click Show test results.
Choose Assign Metric
On the Create Metric Filter and Assign a Metric screen,
4.2 Review the resulting metrics
4.3 Create a dashboard