Dashboard and Metrics
In the Lambda Functions screen, you'll be able to find a table with all of the Lambda functions from every integrated AWS account in every region.
This dashboard is used for visually tracking, analyzing, and displaying key performance metrics, which enable you to monitor the health and cost of your functions.
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Table InformationThe table present the following data: [block:parameters] { "data": { "h-0": "Culumn", "h-1": "Information", "0-0": "Function Name", "1-0": "Application", "2-0": "Invocations", "3-0": "Errors", "4-0": "Timeouts", "5-0": "Out of Memory", "6-0": "Last Invocation", "7-0": "Average Duration", "8-0": "Estimated Monthly Cost", "0-1": "Triggers of the function (if exists)\nFunction name\nAWS account, region, and runtime", "1-1": "Associated application name", "2-1": "Number of invocations", "3-1": "Number of errors", "4-1": "Number of timeout errors", "5-1": "Number of out of memory errors", "6-1": "The timestamp of the last invocation", "7-1": "Average invocation duration", "8-1": "The estimated monthly cost for the function, based on the selected period." }, "cols": 2, "rows": 9 } [/block] In the following table, you can:
- Sort the rows by clicking on the desired column.
- Change the selected timeframe.
- Toggle auto-refresh.
- Filter rows.
Filtering rows can be done easily through the filtering panel, using the search bar.
You can filter rows by free text search, AWS account, region, runtime, application name, or the tracing status.
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Function Details ViewClicking on any of the function names will lead you to a detailed view:
You'll be able to see the function's information, explore the metrics (change the timeframe from the actions section), and explore and filter invocations. All metrics are presented in percentiles, which makes it easy to detect performance issues or anomalies.
The invocations table updates in real-time, meaning new invocations arrive in a few seconds. For every invocation, you can see the corresponding CloudWatch logs, timestamp, duration, memory, and status. All columns can be filtered using the filter icon in the column headers.