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10 docs tagged with "Transform"

Processors and pipelines to transform incoming events

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Manage pipelines and processors

Learn how to create and manage pipelines in Imply Lumi to transform events. Configure processors, preview results, and optimize your data processing workflow.

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 parses event timestamps. Explore time formats, time zones, and manual mapping 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. Optimize timestamps, searchability, and storage for observability data.

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. Discover built-in parsing and enrichment rules that structure your data automatically.