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4 changes: 0 additions & 4 deletions docs/about/applications.mdx
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sidebar_label: Applications
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# Applications

**VirtualMetric DataStream** is a telemetry pipeline solution that simplifies data collection, processing, and routing for multiple platforms including _Microsoft Sentinel_, _Amazon Security Lake_, _Elasticsearch_, _Splunk_, and other security analytics platforms. At its core, **DataStream** uses pipelines to process, enrich, and direct data flows to their optimal destinations. It is composed of the following components:
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4 changes: 0 additions & 4 deletions docs/about/architecture.mdx
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sidebar_label: Architecture
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# Architecture

**VirtualMetric DataStream** is architected with enterprise security and data sovereignty as core principles. Unlike traditional solutions that require sending sensitive data to third-party cloud platforms for processing, **DataStream** keeps all your critical data within your environment while providing centralized management and visibility through a secure cloud control plane.
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4 changes: 0 additions & 4 deletions docs/about/key-features.mdx
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sidebar_label: Key Features
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# Key Features

**VirtualMetric DataStream** offers a comprehensive range of features that make it a powerful and flexible telemetry pipeline solution for multiple security platforms including _Microsoft Sentinel_, _Amazon Security Lake_, _Elasticsearch_, _Splunk Enterprise Security_, and other leading SIEM and analytics platforms. Enterprises can leverage these features to streamline their data collection, processing, and routing operations across diverse security ecosystems:
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1 change: 0 additions & 1 deletion docs/about/licensing.mdx
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sidebar_label: Licensing
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4 changes: 0 additions & 4 deletions docs/about/siem-optimization.mdx
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sidebar_label: SIEM Optimization
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# SIEM Optimization

**VirtualMetric DataStream** provides comprehensive data optimization capabilities that significantly reduce storage costs and improve query performance across multiple security platforms including _Microsoft Sentinel_, _Amazon Security Lake_, _Elasticsearch_, _Splunk Enterprise Security_, and _Google SecOps_. Through intelligent field-level optimization and optional event filtering, organizations can achieve 55-60% data reduction while preserving all security-critical information required for detection and response operations.
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3 changes: 1 addition & 2 deletions docs/appendix/cli/agent.mdx
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description: Command-line options
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sidebar_label: Agent
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# CLI: Agent
# Agent

## Overview

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3 changes: 1 addition & 2 deletions docs/appendix/cli/director.mdx
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description: Command-line options
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sidebar_label: Director
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# CLI: Director
# Director

## Overview

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description: Amazon S3 device for processing files from S3 buckets triggered by SQS notifications
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customCategory: "Devices"
customIcon: "☁️"
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# Amazon S3

<span className="theme-doc-version-badge badge badge--secondary">Pull</span>
<span className="theme-doc-version-badge badge badge--secondary">Amazon AWS</span><span className="theme-doc-version-badge badge badge--secondary">Long-Term Storage</span>

## Synopsis

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description: Amazon Security Lake device for consuming OCSF-formatted Parquet files from Amazon Security Lake via SQS notifications
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customCategory: "Devices"
customIcon: "☁️"
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# Amazon Security Lake

<span className="theme-doc-version-badge badge badge--secondary">Amazon AWS</span><span className="theme-doc-version-badge badge badge--secondary">Security Lake</span>

## Synopsis

Amazon Security Lake device consumes OCSF (Open Cybersecurity Schema Framework) formatted Parquet files from Amazon Security Lake. The device monitors an SQS queue for S3 event notifications, downloads Parquet files from the Security Lake S3 bucket, validates OCSF schema compliance, and processes security events through DataStream pipelines.
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202 changes: 0 additions & 202 deletions docs/configuration/devices/azure-alerts.mdx

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