Pipeline Management & Optimization Flashcards

Which Cribl Stream feature allows you to test a pipeline against sample events without sending data to a real destination?

Answer: Preview Mode

Preview Mode lets you run sample events through a pipeline and inspect transformations without forwarding data to any output.

When a pipeline function returns 'false' for an event in Cribl Stream, what happens to that event?

Answer: It is dropped from the pipeline

A function returning false drops the event, removing it from the data stream entirely.

In Cribl Stream, what is the purpose of the 'Serialize' function within a pipeline?

Answer: Transform structured event fields into a single string representation

The Serialize function formats structured fields into a string (e.g., JSON, CSV, key=value) for output compatibility.

Which optimization technique reduces CPU usage when multiple pipelines perform identical lookups on the same reference file?

Answer: In-memory lookup tables loaded once at startup

Cribl loads lookup files into memory and shares them across pipelines, avoiding repeated disk I/O for the same file.

What does the 'Max Events per Batch' setting control in a Cribl Stream output configuration?

Answer: The maximum number of events bundled into a single outbound request

Max Events per Batch caps how many events are grouped into each outbound payload, balancing throughput and latency.

A Cribl pipeline uses a Regex Extract function with a pattern that rarely matches. What is the most likely performance impact?

Answer: Increased CPU usage from repeated failed pattern evaluation on every event

Regex evaluation runs on every event regardless of match outcome, so a rarely-matching expensive pattern still consumes CPU per event.

Which Cribl Stream pipeline function is best suited for enriching events with geolocation data based on an IP address field?

Answer: GeoIP

The GeoIP function resolves IP address fields to geographic metadata such as city, country, and ASN using a bundled MaxMind database.