Smart control over data flows: filtering, enriching and routing before ingestion and how Cribl can be used independently and collaborates with platforms such as Splunk, Microsoft Sentinel and Amazon S3.
In environments where data is ingested into SIEM, security, or data platforms, a large part of the complexity arises before that ingest takes place. This involves choices regarding what you send, in what volume, to which destination, and at what cost.
Many organizations are finding that these choices are becoming increasingly difficult as more platforms, use cases, and data sources emerge. This isn't because Splunk, Sentinel, or other platforms are inadequate, but because the data pipeline itself lacks flexibility.
In this online demo, we show how Cribl can be deployed as a standalone solution to process and manage data before ingest, or as an additional layer alongside existing platforms. The goal is greater control over data volume, costs, and destinations, without having to replace your current tooling.
Who is this demo for?
This demo is intended for professionals who work with SIEM, security, and data platforms and are involved in data ingestion and processing. This includes Splunk administrators, security and SOC teams, platform and infrastructure specialists, and DevOps or SRE professionals.
This demo is also a good fit if you work with forwarders, agents, or syslog solutions and find it increasingly difficult to keep track of data flows, volumes, and costs.
What do we show?
In a short, online session we can practically demonstrate:
- How Cribl is being used at the front end of the data pipeline
- How data can be filtered, enriched and routed before ingestion
- How Cribl Both standalone can function as in combination with existing platforms
- What choices you get regarding data volume, costs and destinations
No slides, but a focused walkthrough with room for your questions, with an experienced SMT engineer.
WWhat can you judge better after this demo?
After the demo you will have a clearer idea of:
- Where Cribl fits within your architecture, independently or additionally
- What level of control you can exercise over data before ingestion
- What considerations you can make regarding data volume, costs and platform choice
- Whether Cribl is relevant to your environment and use cases
The demo is intended to provide insight and clarify choices, not to persuade you to do anything.
Details
The demo is online and available upon request. We tailor the content to your specific situation, ensuring the session remains concrete and relevant.
- Duration: approx. 30 minutes
- Form: live online session
- Cost: no
