Expression functions reference
Learn how to use string and numeric processing functions in Imply Lumi pipelines.
Learn how to use string and numeric processing functions in Imply Lumi pipelines.
Learn how to transform events in Imply Lumi using pipelines. Add processors to parse, map, and remove attributes from incoming data.
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. Discover built-in parsing and enrichment rules that structure your data automatically.