Operations | Monitoring | ITSM | DevOps | Cloud

Greg Reeder from Datadog talks with Martha Dorris, a leader in government customer experience, about how agencies can drive efficiency using AI, real-time data, and observability. They highlight CX wins at the State Department, IRS, and CBP—showing how smarter monitoring and design improve services, reduce costs, and strengthen citizen trust.

Build funnels directly on your traces and get instant answers to questions like: What fraction of spans made it from event A to event B? Between which spans are most requests failing? What is the latency between key spans? Traditional observability tools let you inspect traces and spans, but they can’t aggregate or analyze how requests flow across multiple services or stages in your system. In asynchronous, distributed architectures, the root span rarely tells the full story-and there’s no way to measure conversion, drop-off, or latency between arbitrary steps across all traces.

Tired of guessing why your releases stall, which PRs are stuck, or where flaky tests are wasting your team’s time? Most teams obsess over production monitoring, but what about the bottlenecks that often hide in the CI/CD pipeline slowing delivery, draining productivity, and introducing risk before code ever ships. With CI/CD Observability, you can: So, stop flying blind in your delivery process and make every release faster, more reliable, and fully transparent!

Is it the third-party API or my code? Your service suddenly slows down, or errors spike, and you’re stuck guessing if it’s your own logic or an external API you don’t control. We’ve seen this pain across teams: dashboards don’t tell you which vendor or endpoint is the culprit, and debugging turns into a maze of guesswork. Rate limiting, vendor errors, or integration issues often slip through until users complain.

Ever tried to build a metrics dashboard and thought, “Wait, what metrics am I actually sending?” We heard this from users again and again-so we built Metrics Explorer. For the first time, you get a real-time, interactive view of every metric coming into your system: Whether you’re onboarding a new integration, debugging an alert, or just exploring your data, Metrics Explorer makes it easy to understand and work with your metrics-no more guesswork, just clarity.

Most teams have strong monitoring for production, but what about the journey before your code gets deployed? The CI/CD pipeline is where bottlenecks, flaky tests, and process gaps silently waste your team’s time. Until now, this part of the workflow has mostly been a black box. We’re excited to announce CI/CD Observability in SigNoz - a new way to track, analyze, and improve your software delivery process, powered by OpenTelemetry.

Build funnels directly on your traces and get instant answers to questions like: What fraction of spans made it from event A to event B? Between which spans are most requests failing? What is the latency between key spans? Traditional observability tools let you inspect traces and spans, but they can’t aggregate or analyze how requests flow across multiple services or stages in your system. In asynchronous, distributed architectures, the root span rarely tells the full story-and there’s no way to measure conversion, drop-off, or latency between arbitrary steps across all traces.

If Temporal powers your business-critical workflows, you know how tough it is to get real visibility into what’s happening under the hood. Most tools only show basic Prometheus metrics-leaving you guessing about bottlenecks, failures, and performance issues. Join us for a live demo of SigNoz’s industry-first Temporal integration. We’ll show you how to: Whether you’re running Temporal in production or just exploring workflow orchestration, this session will show you how to move from “just metrics” to true, unified observability.

Easily track GitHub Copilot usage across your organization with our new integration. On This Month in Datadog, we’re covering this integration, Datadog CoTerm, and the new Optimization page in Datadog Real User Monitoring. Check out the link in our bio to watch the new episode.

Previously, teams had to choose between adopting the OpenTelemetry Collector’s capabilities and fully leveraging our advanced features. On This Month in Datadog, we’re spotlighting our OTel Collector distribution, which unifies OTel and Datadog. Check out the link in our bio to watch the new episode.

Ever tried to build a metrics dashboard and thought, “Wait, what metrics am I actually sending?” We heard this from users again and again-so we built Metrics Explorer. For the first time, you get a real-time, interactive view of every metric coming into your system: Whether you’re onboarding a new integration, debugging an alert, or just exploring your data, Metrics Explorer makes it easy to understand and work with your metrics-no more guesswork, just clarity.

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on the Datadog Distribution of the OpenTelemetry Collector.

We built deep Temporal observability in SigNoz.

Is it the third-party API or my code? Your service suddenly slows down, or errors spike, and you’re stuck guessing if it’s your own logic or an external API you don’t control. We’ve seen this pain across teams: dashboards don’t tell you which vendor or endpoint is the culprit, and debugging turns into a maze of guesswork. Rate limiting, vendor errors, or integration issues often slip through until users complain.