Operations | Monitoring | ITSM | DevOps | Cloud

Historically, Datadog has relied on technologies like Snowflake and Apache Spark on raw parquet files (lacking consistent table structure) to power internal analytics and data science at scale. As usage grew across product teams, more features depended on data science teams, and our datasets grew to include more telemetry data, these systems became complex to manage and govern both technically and financially. The need for a more flexible and scalable solution led Datadog to adopt Apache Iceberg, an open source table format for data lakes that brings reliability and performance while remaining SQL-friendly.

We introduced Bits AI SRE, our first AI agent, now generally available. Across industries, customers of all sizes are already seeing faster resolution, stronger reliability, and a better on-call experience for their teams.

Support for Oracle Cloud Infrastructure (OCI) is now live in Datadog Cloud Cost Management. In this short demo, you’ll learn how to: Get granular visibility into OCI cost and usage—by service, compartment, tag, and resource tier. Uncover savings opportunities by combining cost data with observability metrics like CPU, memory, and storage utilization. Set up anomaly monitors and budgets to avoid cost overruns—especially for high-risk workloads like AI and GPU training.

Bits AI SRE is an always-on SRE agent built to handle complex troubleshooting and late-night alerts. Developed against thousands of real-world incidents and powered by Datadog’s platform, Bits AI SRE analyzes your entire stack, tests hypotheses, and identifies root causes in minutes. Resolve faster, get back to sleep sooner, and give your on-call team the confidence and capacity they need.