<p>In the world of public transportation, real-time data is not just a convenience—it's a necessity. As the Manager of Customer Technology Data at MARTA, I've learned firsthand the critical importance of building resilient systems that can handle the demands of millions of daily riders.</p>

<h2>The Challenge of Real-Time Transit Data</h2>
<p>Modern transit systems generate enormous amounts of data every second. Vehicle positions, arrival predictions, service alerts—all of this information needs to be processed, validated, and distributed in real-time.</p>

<h2>Key Architecture Principles</h2>
<ul>
<li><strong>High Availability:</strong> Systems must be designed for 99.99% uptime</li>
<li><strong>Scalability:</strong> Handle peak loads during rush hours</li>
<li><strong>Fault Tolerance:</strong> Graceful degradation when components fail</li>
</ul>

<h2>Implementation with Azure</h2>
<p>Our implementation leverages Azure's cloud services to ensure stability and performance. The key components include Azure Kubernetes Service for container orchestration and Azure Event Hubs for real-time data streaming.</p>

<h2>Lessons Learned</h2>
<p>Building these systems has taught me valuable lessons about balancing technical excellence with practical constraints. The most important takeaway is that simplicity often trumps complexity when it comes to reliable systems.</p>