Apache Polaris: The Definitive Guide

Chapter 10. Advanced Polaris Configuration and CLI Management

As you’ve seen in earlier chapters, Apache Polaris offers a powerful foundation for managing Iceberg table metadata in distributed, multi-tenant data lakehouse environments. But as with any production-grade system, truly unlocking its potential—and running it reliably at scale— requires a deeper understanding of its advanced features and operational tools.

This chapter goes beyond day-to-day usage and explores how to manage Polaris effectively in real-world deployments. We’ll start by introducing the Polaris command-line interface (CLI), a flexible tool for scripting and automation. From there, we’ll cover critical administrative concepts like realms, observability, logging, and production configuration. Whether you’re spinning up new environments, debugging permission issues, or integrating with enterprise infrastructure, this chapter will equip you with the knowledge and tools to operate Polaris with confidence.

We’ll also take a close look at how Polaris handles metadata persistence via metastores, the various options for metrics and tracing, and how to configure Polaris in containerized or cloud-native environments. By the end, you’ll have a complete view of what it takes to run Polaris securely and efficiently in production.

Using the Polaris CLI

While much of Polaris’s functionality is exposed via its REST API, the Polaris command-line interface (CLI) offers a more approachable and scriptable way to interact ...