Operations | Monitoring | ITSM | DevOps | Cloud

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.

Keeping tabs on cloud spending across multiple organizations and vendors, including Datadog, can be tough and costly. If you're not tracking expenses, you're also missing other critical insights. The Flight Centre Travel Group (FCTG) faced this when moving to Datadog, needing to monitor costs across numerous organizations and over 180 Azure subscriptions. After a rapid migration, new cost reports quickly revealed more than just financial benefits. Unusual spending patterns often highlighted incidents, bugs, or security issues, offering early warnings about internal system problems.

Technology moves quickly and while the spotlight has shifted to dynamic, cloud-based systems, many organizations have legacy applications and infrastructure that they must maintain. In this fireside chat, Datadog’s Matt Moore (Principal Observability Strategist) will host James Flores (Enterprise Systems Engineer) at Australian Community Media to discuss their journey of modernization and bridging legacy systems with the cloud using a bit of ingenuity and observability.

What if you could instantly add an engineer to your team -- one who knows your system and is on call 24/7? That’s Datadog BITS. From gathering context to generating and testing hypothesis, BITS helps you find root causes in minutes - not hours.

Struggling to optimize your cloud spend across AWS, Azure, and Google Cloud? Datadog Cloud Cost Management highlights underutilized or legacy resources and lets engineers take immediate action using Datadog Workflows. Eliminate waste and drive savings with recommendations that your teams can trust.

Struggling to understand the true cost of your Kubernetes workloads? With Datadog Cloud Cost Management, you can automatically allocate container costs by team, product, and service down to the pod. Instantly identify idle resources, surface optimization opportunities, and act with confidence. All in one unified platform.