Core Insights - Datadog has launched a new product, Storage Management, aimed at helping teams optimize cloud object storage costs and eliminate unnecessary spending [1][4] - The product is designed to provide granular visibility, proactive anomaly detection, and targeted recommendations for cloud storage management [1][4] Group 1: Product Features - Storage Management offers detailed insights into cloud object storage at the bucket and prefix levels, enabling teams to identify anomalies in storage growth and access patterns [4] - The product provides unified context by correlating cost, usage, and metadata across different buckets and prefixes, facilitating the enforcement of lifecycle and retention policies [7] - It includes proactive anomaly detection and alerts to quickly identify and respond to unexpected storage growth and cost spikes [7] Group 2: Market Context - The increasing usage of cloud object storage driven by data-intensive and AI workloads has led to rising cloud storage costs, making cost management a significant challenge for operations teams [2] - Companies developing AI products find that data storage and processing costs are often the third-highest expense, surpassing costs associated with AI model training and inference [5] Group 3: Optimization Opportunities - Datadog Storage Management helps organizations uncover specific savings opportunities, such as transitioning cold data to less expensive storage classes and deleting duplicate objects [3][5] - The product aims to accelerate savings by providing actionable recommendations on data re-tiering, archiving, or deletion [7]