Tola Ore-Aruwaji, a Developer Relations Engineer, discusses the challenges and solutions for monitoring Redis performance metrics, highlighting the benefits of using Axiom for efficient data handling and cost management. The text illustrates how Axiom enables developers to monitor Redis metrics without incurring high storage costs, allowing for long-term data comparison and real-time analysis. It provides a detailed guide on utilizing Axiom to track key Redis performance metrics, identify issues, and manage memory usage effectively. The document also outlines how Axiom's aggregation functions, such as count, sum, distinct, average, and topk, can be used to derive insights from Redis data, helping developers understand and optimize their Redis deployments. Additionally, it explains how pairing aggregations with group-by clauses can offer a comprehensive view of Redis metrics over various time frames, enabling users to measure performance against historical data and identify potential issues. The article encourages user engagement through community interaction and provides resources for further exploration of the subject.