Azure Monitor pipeline transformations feature
is now Public Preview! This feature enables users to shape telemetry before
it’s ingested into Azure Monitor, helping them control ingestion costs, improve
data quality, and simplify analytics at scale.
Built into the Azure Monitor pipeline for edge and
multi-cloud environments, transformations allow data types such as Syslog and
CEF to be filtered, aggregated, standardized, and reshaped prior to ingestion.
Automatic schema standardization and built-in validation guardrails ensure
continued compatibility with standard tables, allowing users to apply
transformations confidently without disrupting dataflow.
Transformations also include prebuilt KQL templates
for common scenarios, along with advanced filtering and aggregation to reduce
noise, lower ingestion volume, and summarize high frequency data into
meaningful time windows. By shaping data closer to the source, Azure Monitor
pipeline transformations deliver cleaner data and faster insights for high
volume and complex telemetry environments.