Shaping Data from Multiple Sources with Cribl Stream
Data quality is a struggle for anyone managing observability at scale. Even when teams do have the data they need, the format and content of those logs can be a pain. (Inefficient formats and missing timestamps, anyone?) Find out how you can normalize formats in-flight and enrich events as they come in – even when the data is from different sources.
Join Cribl’s Ed Bailey and Desi Gavis-Hughson for an interactive demo, where they’ll:
- Reveal common data quality issues, including inefficient formats and missing timestamps
- Build an observability pipeline to normalize data from multiple sources as it comes in, increasing flexibility around what you can analyze
- Show how you can enrich logs in-flight with GeoIP information and more for additional context and control
- Discuss three more strategies to standardize and clean up your events, opening up more options for your data