通过识别AWS、Google Cloud和Azure的未使用数据来降低云层存储成本的存储管理工具。 Datadog launches Storage Management tool to cut cloud storage costs by identifying unused data across AWS, Google Cloud, and Azure.

Datadog启动了储存管理,这是一个帮助各组织降低云性物体储存成本的新工具,尤其是用于AI和数据重工作量的新工具。 Datadog has launched Storage Management, a new tool to help organizations reduce cloud object storage costs, especially for AI and data-heavy workloads. 可用于亚马逊S3和Google Cloud和Azure的预览中,它详细介绍了桶和前缀的储存使用情况,查明了未充分利用、临时或重复的数据。 Available for Amazon S3 and in preview for Google Cloud and Azure, it provides detailed insights into storage usage at the bucket and prefix level, identifying underused, temporary, or duplicate data. 该工具利用访问模式、元数据和成本趋势来建议诸如存档或删除等行动,从而能够主动控制费用。 The tool uses access patterns, metadata, and cost trends to recommend actions like archiving or deletion, enabling proactive cost control. 它与Datadog的云成本管理相结合,以改进生命周期政策的执行,减少对人工流程的依赖。 It integrates with Datadog’s Cloud Cost Management to improve lifecycle policy enforcement and reduce reliance on manual processes.