Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.