Edge Delta Aggregate Metric Node
Batch and aggregate metrics using the Edge Delta Aggregate Metric Node.
less than a minute
These processor nodes are deprecated in favour of sequence type processors.
Batch and aggregate metrics using the Edge Delta Aggregate Metric Node.
Decode logs using Base64.
Create a payload for the Datadog event endpoint.
Deduplicate logs in a pipeline.
Apply one enrichment to all logs in a stream.
Extract JSON from the body field.
Extract metrics from various data types using the Edge Delta Extract Metric Node.
Transform logs using a generic transformation on any non-body field.
Parse logs as attributes using a Grok parser.
Decompress GZIP logs.
Extract escaped content and convert it to an unescaped format.
Unroll structured JSON content.
Determine and assign the log level.
Extract metrics from logs using the Edge Delta Log to Metric Node.
Identify log patterns using a clustering algorithm.
Transform logs using upsert and delete operations.
Enrich logs based on fields in a lookup table.
Mask values in logs using the Edge Delta Mask Node.
Parse OpenTSDB into metrics.
Transform any data type using OTTL statements.
Transform and output logs.
Parse JSON logs as attributes.
Report on pattern ratios.
Configure the Edge Delta Regex Filter Node.
Transform resource fields.
Pass logs to a specific path.
Filter incoming items using probabilistic sampling based on specified criteria.
Split logs according to a given delimiter.
Create a payload for the Splunk event endpoint.
Suppress recurring log entries based on specified key field paths and interval.
Define thresholds for trigger nodes.
Return a list of ranked pattern matches.