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Cribl

Centrally route, transform, and control your observability data.

Freemium

Description

Cribl offers a suite of products designed to manage and process observability data efficiently. It acts as a universal data translator, allowing users to ingest data from various sources, modify fields, change formats, and alter protocols before sending it to different systems. This centralized approach simplifies data routing, transformation, and reduction, providing organizations with enhanced flexibility and control over their data pipelines.

The platform helps address challenges related to data cost and complexity by enabling users to shape and move data without requiring new agents or significant infrastructure changes. Cribl supports integration with numerous tools and is utilized by organizations, including those in the Fortune 100, to optimize their data strategies, reduce data volumes (like firewall logs), and streamline processes such as SIEM evaluation and observability.

Key Features

  • Centralized Data Routing: Direct data from any source to any destination.
  • Data Transformation: Modify fields, change formats, and alter protocols.
  • Data Reduction: Reduce data volume before sending it to analysis tools.
  • Data Onboarding: Ingest logs, metrics, and traces from diverse sources.
  • Data Replay: Replay data streams for testing or reprocessing.
  • Universal Translator: Acts as a bridge between different data formats and protocols.
  • Vendor-Neutral Pipeline: Avoid lock-in with specific analysis tools.
  • Integration Ecosystem: Connects with a wide range of security and observability tools.

Use Cases

  • Simplifying data routing and management.
  • Reducing SIEM and analytics costs by filtering data.
  • Transforming data formats for tool compatibility.
  • Enriching data streams with contextual information.
  • Managing multi-cloud or hybrid data environments.
  • Optimizing data pipelines for security and observability.
  • AI-powered SOC transformation (via partnerships like Palo Alto Networks).

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