8 docs tagged with "Pipelines"

Learn how to process and enrich event data in Imply Lumi using a pipeline to parse with regex, add an attribute, and remove an attribute.

Learn how to create and manage data processing pipelines in Lumi to transform events, extract key details, and enhance your observability analyses.

Learn about the available predefined pipelines in Imply Lumi and the data formats they process.

Learn how to configure Lumi processors to transform events, parse data, map attributes, and optimize pipeline performance for efficient log management.

Learn how to transform and enrich event data in Imply Lumi using pipelines and IAM key attributes to improve searchability and query performance.

Learn how event transformation pipelines optimize observability through parsing, enrichment, and metadata management to improve searchability and reduce costs.

Learn how to nest pipelines up to three levels deep to organize event processing, apply filters, and perform source-specific data transformations.

Learn how to use and customize predefined pipelines in Imply Lumi to structure common data sources without building custom processors from scratch.