Operations | Monitoring | ITSM | DevOps | Cloud

See why Datadog is a leader in cloud cost allocation. In this demo, learn how Datadog leverages high-resolution observability data to deliver accurate, dynamic cost attribution across clouds and containerized environments. You’ll see how Datadog: Discover how Datadog combines cost, performance, and business context to make cost reporting both accurate and actionable.

Managing the cost of foundation models like Claude Opus can be complex and unpredictable. With Datadog Cloud Cost Management, you can now ingest Claude usage and cost data directly through the Anthropic Usage and Cost Admin API and visualize it alongside your cloud and SaaS spend.

Datadog now surfaces real-dollar OpenAI usage—down to individual prompts and token consumption—directly in Cloud Cost Management. Empower your team to catch cost drift early, assign spend to the right owner, and optimize with confidence.

Datadog Cloud Cost Management unifies observability and cost data so engineering and FinOps teams can drive efficiency together. In this demo, see how you can: Allocate cloud costs across AWS, Azure, Google Cloud, OCI, and SaaS providers with precision Empower engineers by surfacing costs in their daily workflows Automate recommendations to accelerate optimization Monitor your daily Datadog costs - at no additional charge.

See how you can reduce risk during feature rollouts in September’s This Month in Datadog. This episode, we spotlight Datadog Feature Flags, which combines advanced targeting with built-in observability, and guardrails to make rollouts safer and more controlled. Plus, we cover: This Month in Datadog brings you the latest updates on our newest product features, announcements, resources, and events.

Datadog Sheets helps you move from log exploration to actionable insights quickly and with no code required. In this demo, see how to enrich logs with Salesforce data, build pivot tables, uncover customer impact trends, and build shareable reporting, all within Datadog.

AI is changing everything. At Datadog, our approach is two-fold: empower you with complete observability across your entire stack, including AI as you incorporate it, and harness emergent technologies to make Datadog even more powerful. Join VP of Product Michael Whetten to see how Datadog is accomplishing these two approaches. He'll share the latest feature updates and new products designed to help you thrive in an AI-powered world. Plus, get a look at our long-term vision for the future of AI and its impact on your work.

Custom Metrics provide critical visibility into your environment and applications. In this video, we’ll show you how to govern Custom Metrics volumes in Datadog by: Building monitors to proactively catch usage spikes Identifying and attributing your largest cost drivers Reducing costs on less valuable, unused metrics.

Unexpected cloud cost spikes can derail your budget. Datadog’s Cloud Cost Anomalies automatically surfaces unusual spending — whether it’s from a team, account, service, cluster, or region. Quickly identify the source, pivot into Cost Explorer, and take action before costs spiral out of control.

Data sovereignty is crucial for businesses today, driven by government regulations and increasing customer demand for control over their online privacy and information. To better serve our Australian customers, Datadog recently opened our AP2 datacenter in Australia.