Operations | Monitoring | ITSM | DevOps | Cloud

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.

LLM observability is broken There are too many new libraries floating around, but they don't follow accurately the OpenTelemetry conventions. OTel isn’t perfect for LLMs yet—but extending a proven standard beats inventing another one. Why not use the same standard (OTel) which works so well for rest of the apps, and just work on top of it? This is what I was ranting with Pranav Raj S, co-founder at Chatwoot and we thought there must be other folks facing similar issues.

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.

Take control of your observability spending with complete transparency into usage patterns across logs, metrics, and traces. No more surprise bills or blind cost optimization - get the visibility you need to manage budgets effectively.

Take control of your observability spending with complete transparency into usage patterns across logs, metrics, and traces. No more surprise bills or blind cost optimization - get the visibility you need to manage budgets effectively.

Self-hosting SigNoz just got significantly easier with community-focused improvements that remove deployment friction and give you more flexibility in how you run your observability stack.

​Map service dependencies and validate architectural patterns without manually analyzing trace flows. Trace Operators let you query relationships between services within distributed traces using simple, intuitive syntax.

​Map service dependencies and validate architectural patterns without manually analyzing trace flows. Trace Operators let you query relationships between services within distributed traces using simple, intuitive syntax.

Query Builder v5 brings familiar SQL-like syntax to observability data with expression-based querying that works across logs, metrics, and traces. Write complex queries using the syntax you already know.

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.

Interactive Dashboards eliminate the current workflow of opening new tabs and manually recreating queries every time you need to investigate a spike or anomaly. Click directly on any data point to drill down and explore. ​What you can do.

Interactive Dashboards eliminate the current workflow of opening new tabs and manually recreating queries every time you need to investigate a spike or anomaly. Click directly on any data point to drill down and explore. ​What you can do: ​Built for developers who need to debug production issues efficiently, not juggle with multiple tabs.

In this video, we’ll walk you through how to monitor Claude code activity using OpenTelemetry and SigNoz. You’ll learn how to instrument your usage, capture telemetry data, and visualize it with SigNoz to get better insights into your system performance. Whether you’re exploring observability for AI workloads or looking for an open-source solution to monitor your llm activity, this guide will help you get started.

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.