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.