Datadog’s Logging without Limits* lets you dynamically decide what to include or exclude from your indexes. Log-based metrics are a cost-efficient way to summarize log data from the entire ingest stream. This means that even if you use exclusion filters to limit indexes to operationally critical logs, you can still visualize trends and anomalies over all of your log data at full granularity for 15 months.
With log-based metrics, generate custom metrics from the count of logs that match a filter query and apply log attributes and tag keys as metric tags following the
group by: Add attributes or tag key to apply to the generated log-based metric to transform them into Tags following the
<KEY>:<VALUE>format. Log-based metrics are considered as custom metrics. Avoid grouping by unbounded or extremely high cardinality attributes like timestamps, user IDs, request IDs, or session IDs to avert impacting your billing.
Note: Data points for Log-based metrics are generated at one minute intervals.
After a metric is created, only these fields can be updated:
To change the metric type or name, a new metric must be created.
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