A printable guide of basic concepts and commonly used functions for Cribl LogStream
This video walks through how to create a data collector to pull data from a REST API with Cribl LogStream.
Routes map events to pipelines and destinations. Learn how to create a route in Cribl LogStream in this short video.
Each source has attributes unique to it in LogStream, but in this video, we show you the common attributes of sources and how to configure them, including Input ID and Fields (or Metadata).
This video shows you exactly how to create a data collector to pull data from an AWS S3 bucket with Cribl LogStream. Setting up a data collector is the first step in reducing the data in your analysis systems and cutting infrastructure costs.
To begin using Cribl LogStream, you need to set up a pipeline. Watch this video for a quick walkthrough on how it’s done.
In this video, you’ll see how to re-ingest part or all of the data from any configured data collector. The best part? You can replay the data on your schedule.
An Observability Pipeline is the connective tissue between all of the data and tools you need to view and analyze data across your infrastructure. The pipeline consolidates the collection of data, transforms it to the right format, and routes it to the right tool.
Learn how to reduce the volume of logs before sending them to an analytics tool. In this paper, you'll learn 6 techniques to control the volume of your logs to control costs. You'll also read stories of customers who have been successful using these techniques.
Log systems are optimized for fast retrieval by indexing all of the data, but that performance comes at the expense of increased storage volume and CPU consumption. Watch this demo to see how Cribl LogStream can help security teams store data inexpensively and analyze it later if needed.