Assign event timestamps using a pipeline
Learn how to configure timestamp assignment on incoming events using a pipeline in Imply Lumi.
Processors and pipelines to transform incoming events
View all tagsLearn how to configure timestamp assignment on incoming events using a pipeline in Imply Lumi.
Import Splunk® TAs into Imply Lumi to automate event processing. Learn how Lumi converts transformations into pipelines seamlessly.
Learn how to handle custom timestamp formats in Imply Lumi using DateTimeFormatter syntax. Parse any log timestamp pattern with flexible configuration.
Reference for Imply Lumi event source integrations, including supported receivers, source type assignments, and predefined pipelines.
Learn how to use expression functions in Imply Lumi pipelines to perform string operations, numeric calculations, and logic evaluations.
Learn how build and simulate pipelines in Imply Lumi. Simulate your pipelines to test proper processor functionality before applying them on real event data.
Learn how to transform events in Imply Lumi using pipelines. Add processors to parse, map, and remove attributes from incoming data.
Learn how to process Windows event logs with Imply Lumi using Splunk® forwarders and S3 routing.
Overview of integrations you can use to send specific data types to Lumi.
Learn how Imply Lumi integrates with Splunk® for observability. Discover key concepts for data ingestion, forwarding, and search compatibility.
Transform incoming data with Imply Lumi pipelines. Learn to create and manage processors for effective event processing.
Learn how Imply Lumi predefined pipelines automatically extract fields from standard log formats for faster searching and analysis.
Learn how to transform events using Imply Lumi processors. Explore parsing, mapping, and redaction tools to optimize your data pipelines.
Test Imply Lumi pipelines before deployment. Simulate data processing for entire pipelines or for individual processors.
Learn how Imply Lumi transforms and enriches event data using pipelines and IAM key attributes for better search and analysis.
Learn how Imply Lumi pipelines transform events through parsing and enrichment. Learn about pipeline conditions, processors, and order of operations.
Learn how to nest Imply Lumi pipelines to organize event processing. Apply filters and transformations for complex workflows.
Learn how Imply Lumi predefined pipelines process common event formats. Covers source type assignment and workflows for using and customizing pipelines.