Managing AI-era cloud storage costs with Datadog

Managing AI-era cloud storage costs with Datadog

Datadog launches Storage Management to tackle AI-era cloud storage costs, which now rank as the third-largest expense for AI product development. The tool integrates cost, usage, and metadata into a unified dashboard for S3 and multi-cloud environments.

Why This Matters

Enterprises face a critical gap between ideal cloud storage models and technical reality: untracked data growth and inefficient policies lead to runaway costs. Without visibility, storage expenses—now exceeding model training and inference—can consume 30%+ of AI budgets. Datadog’s solution addresses this by automating anomaly detection and policy enforcement across billions of objects, reducing the risk of uncontrolled spending in multi-cloud environments.

Key Insights

• “Storage and processing represent the third-largest cost for AI products, surpassing model training and inference” (Datadog, 2025)
• “Sagas over ACID for e-commerce”: Lifecycle policies replace rigid ACID transactions for managing temporary AI data
• “Temporal used by Stripe, Coinbase”: Workflow orchestration tools for automated storage governance

Practical Applications

• Use Case: Multi-cloud enterprises monitoring 100M+ objects across S3, GCS, and Azure Blob Storage
• Pitfall: Siloed finance/IT teams failing to align storage policies, leading to 40%+ redundant data retention

Reference: https://www.cloudcomputing-news.net/news/managing-ai-era-cloud-storage-costs-with-datadog/