What is an Observability Pipeline? Why do you need to have one?
The goal of Observability is to understand the state of your IT environment by analyzing the external outputs of these systems. By studying observability in the form of logs, metrics and traces, you can solve problems and optimize your environment.
An Observability Pipeline is the connective tissue between all of the data and tools you need to improve observability. It consolidates the collection of data, transformers it to the right format and routes it to the right tool.
Watch this pre-recorded webinar to learn more about best practices for creating and implementing an Observability Pipeline. You’ll learn:
- How Cribl LogStream helps you create an Observability Pipeline
- Techniques for processing observability streams
- How to route data from one collector to multiple destinations
- How to process log data in batch and “replay” logs from long-term storage locations
- How to reduce log analytics costs and infrastructure
Clint Sharp is Co-founder & CEO of Cribl, makers of LogStream. LogStream helps organizations implement an observability pipeline, which allows them to route machine data from any source to any destination while transforming your data in motion to enrich it with additional context, secure its contents, and control costs.
Before Cribl, Clint was a product management leader at Splunk, co-creating such products and features as Hunk, IT Service Intelligence and the new Metrics Store.