How Datadog Saved $1M Annually on Storage Costs using Cloud Cost Management

Do costs feel like a black box for your engineering team? Without access to cost data alongside observability data, engineers are unable to make informed decisions on cost optimization, and FinOps analysts lack the context they need to effectively collaborate with engineers - ultimately creating barriers to workload optimization and waste reduction.

Come learn how Datadog’s FinOps and Engineering teams used Cloud Cost Management (CCM) to identify and optimize high cost storage resources across AWS, Azure, and Google Cloud. We will demonstrate how to query storage buckets by specific dimensions to gain insight into your most costly resources. 

We’ll also show you how our FinOps team used OOTB and custom cost recommendations, Notebooks, and CCM’s Jira integration to collaborate with engineers on optimization initiatives that resulted in $100,000 in monthly savings on storage resources alone.

You will leave this session understanding how to build a culture of trust and collaboration between FinOps and Engineering teams by integrating credible cost data in Datadog - where engineers already monitor the performance and reliability of their services.