Monitors

AI Observability traces get a visual overhaul with a polished span tree and attributes tab. The Agent can now modify your monitors directly. Plus improvements to the prompt queue and Data Explorer.

Queue prompts for the Agent without interrupting its current task, explore AI traces from three different angles, and let your time series charts auto-scale to the data that matters.

Test your notification routes before they fire in production, route alerts to Microsoft Teams, and map severity levels to OpsGenie. Plus improvements to monitors, workloads, and the workspace experience.

Many production environments now rely on AI development tools. groundcover now lets you monitor them just like any other production component. View traces from your AI tools directly in groundcover, build dashboards, and create monitors to track performance, usage, and cost. We haven’t stopped there and made more improvements and bug fixes in dashboards, monitors, connected apps and RUM. Check the list below!

Discover the new Monitor Wizard, Notification Routes, and Connected Apps for routing alerts with greater control, flexibility, and cleaner workflows.

Discover Session Replay, new data sources for Issues and Entities, and new integrations to monitor AI coding tools across your organization.

Explore webhook support, Rootly integration, custom monitor labels, and improved DDQL function trlansation for smoother migrations.

Explore new incident.io and OpsGenie integrations, dashboard JSON schema API access, Monitor and Dashboard upgrades, and improved logs usability.

Discover new notification routes, Kubernetes and Datadog integrations, improved gcQL JSON handling, and enhanced logs and traces.

Explore gcQL cross-data queries, LangChain integration, enhanced monitors, and usability improvements across traces and dashboards.

This week we introduced a new creation wizard for monitors. Dashboards got several QOL improvements, including better JSON editing and saving, a persistent time picker, and cleaner widget placement. We also expanded gcQL with hour-based filtering, conditional stats, and new pipes, alongside fixes across traces and migrations.

This week we added dashboard version history with revert, expanded integrations with Redis Cloud and GitHub CI, and improved integrations View. We also fixed multiple issues across monitors, dashboards, and traces.