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\documentclass{report}
\usepackage[utf8]{inputenc}
\usepackage{graphicx}
\usepackage{listings}
\usepackage{xcolor}

\title{Atlas Platform Technical Architecture}
\author{Engineering Team}
\date{Q4 2024}

\begin{document}

\maketitle

\chapter{Overview}
This technical report outlines the system architecture of the Atlas platform, a comprehensive file management and AI-powered document analysis system.

\section{System Components}
The Atlas platform consists of the following major components:

\begin{itemize}
    \item File Management Service
    \item Document Processing Engine
    \item AI Analysis Module
    \item User Authentication System
    \item Search and Indexing Service
\end{itemize}

\chapter{Architecture Design}

\section{Microservices Architecture}
Our platform utilizes a microservices architecture to ensure scalability and maintainability.

\subsection{Service Communication}
Services communicate through REST APIs and message queues for asynchronous operations.

\section{Database Design}
We employ a polyglot persistence strategy:

\begin{enumerate}
    \item PostgreSQL for structured data
    \item MongoDB for document storage
    \item Redis for caching
    \item Elasticsearch for search indexing
\end{enumerate}

\chapter{Conclusion}
The Atlas platform architecture provides a robust foundation for file management with AI capabilities.

\end{document}

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Preview

Atlas Platform Technical Architecture

Engineering Team

Q4 2024

Chapter 1: Overview

System Components

Chapter 3: Architecture Design

Microservices Architecture

Service Communication

Database Design

Chapter 7: Conclusion

File Management Service
Document Processing Engine
AI Analysis Module
User Authentication System
Search and Indexing Service

PostgreSQL for structured data
MongoDB for document storage
Redis for caching
Elasticsearch for search indexing

Preview generated from LaTeX source. Compile for full PDF output.