Operations | Monitoring | ITSM | DevOps | Cloud

Two of our most powerful checks just got a lot easier to set up. Application Health and Scheduled task monitoring used to mean wiring up an endpoint or pings by hand. Now an AI prompt does that part for you.

As AI coding assistants dramatically inflate PR counts, commit frequency, and lines of code, the limitations of individual output metrics have never been more apparent. A developer can now produce significantly more lines per session, but higher volume doesn’t guarantee that the code is stable, maintainable, or successfully running in production. GitClear analyzed over 200 million lines of code and found that code churn nearly doubled following widespread AI adoption.

Hybrid cloud has reshaped the way enterprises build, run, and troubleshoot digital services. Applications now stretch across on-premises infrastructure, cloud platforms, regional services, interconnects, and distributed dependencies that change constantly. Operational complexity has expanded with that footprint, yet many observability practices still reflect assumptions from an earlier era of simpler architectures and clearer boundaries. That gap shows up fast during an incident.

AppSignal now supports Render's Metrics Stream. Configure it once in your Render workspace and Render forwards OpenTelemetry metrics to the AppSignal Collector. From there, the metrics show up in your AppSignal app as host metrics and automated dashboards. You only have to set up the stream once per workspace.