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Security Telemetry & Data Pipelines

Goal

To understand the design and reasoning behind high-volume (scalable) security telemetry pipelines.

Developing a mini version of a security data pipeline that ingests:

  • Auth logs
  • API access logs
  • Network-like events

Architecture

Architecture Diagram

Core Features

  • Schema validation for events
  • Normalization to a common event model (this is similar to ASIM model in Azure)
  • Simple Enrichment (geographical/user metadata)
  • Dead Letter Queue (DLQ) for malformed events

Usage

First run docker compose up -d to get redpanda up and running.

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Understanding the design behind scalable, high-volume security telemetry pipelines

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