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16 docs tagged with "Transform"

Processors and pipelines to transform incoming events

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Define custom time formats

Learn how to define custom timestamp formats in Imply Lumi using DateTimeFormatter syntax. Parse any timestamp pattern for accurate event tracking.

Expression functions reference

Learn how to use expression functions in Imply Lumi pipelines to perform string operations, numeric calculations, and logic evaluations.

How to build pipelines

Learn how build and simulate pipelines in Imply Lumi. Simulate your pipelines to test proper processor functionality before applying them on real event data.

Predefined pipelines reference

Learn how Imply Lumi predefined pipelines automatically extract fields from standard log formats for faster searching and analysis.

Processors reference

Learn how to transform events using Imply Lumi processors. Explore parsing, mapping, and redaction tools to optimize your data pipelines.

Timestamp handling

Learn how Imply Lumi detects and assigns timestamps to events. Configure manual mapping and time zones for accurate observability analysis.

Transform events

Learn how Imply Lumi transforms and enriches event data using pipelines and IAM key attributes for better search and analysis.

Transform events using pipelines

Learn how Imply Lumi pipelines transform events through parsing and enrichment. Learn about pipeline conditions, processors, and order of operations.

Work with nested pipelines

Learn how to nest Imply Lumi pipelines to organize event processing. Apply filters and transformations for complex workflows.

Work with predefined pipelines

Learn how Imply Lumi predefined pipelines process common event formats. Covers source type assignment and workflows for using and customizing pipelines.