Log visualization and dashboards - AWS Lambda

Log visualization and dashboards

In the queries shown so far, you can export the results to markdown or CSV format. You can also create visualizations from queries, providing there is at least one aggregation function. The stats function allows you to define aggregations and grouping. Since Lambda functions always provide a timestamp, you can also produce time series charts, grouped into intervals using the bin function.

The previous logInsightsJSON example filtered on upload size and upload time and excluded first invocations. This resulted in a table of data. For monitoring a production system, it may be more useful to visualize minimum, maximum, and average file sizes to find outliers. To do this, apply the stats function with the required aggregates, and group on a time value such as every minute:

fields @message
| filter @message like /INFO/
| filter uploadedBytes > 1000000
| filter uploadTimeMS > 1000
| filter invocation != 1
| stats min(uploadedBytes), avg(uploadedBytes), max(uploadedBytes) by bin (1m)

After running the query, switch to the Visualization tab to see the results:

               monitoring observability figure 14

After you have finished building the visualization, you can optionally add the graph to a CloudWatch dashboard. To do this, choose Add to dashboard above the visualization. This adds the query as a widget and enables you to select automatic refresh intervals, making it easier to continuously monitor the results:

               monitoring observability figure 15