Grafana’s New CLI Brings Full Observability to the Terminal – Empowering Agents and Engineers to Fix Incidents in Minutes
Grafana Launches gcx: Observability CLI for Terminal-Centric Workflows
Grafana today announced the public preview of gcx, a new command-line interface (CLI) tool that brings Grafana Cloud and its AI assistant directly into the terminal. The tool is designed for engineers and agentic coding environments – like Cursor and Claude Code – who increasingly work from the command line.
Engineers today spend most of their day in the terminal, and agentic tools are taking over many routine coding tasks,
said Jane Doe, senior product manager at Grafana. The problem is that observability – the data needed to understand production systems – has been locked in separate dashboards, forcing context switches and leaving agents blind to real-world issues.
With gcx, engineers and their agents can now instrument, alert, set SLOs, and manage dashboards entirely from the terminal – without ever leaving their development workflow.
What gcx Does: From Greenfield to Full Observability in Minutes
gcx automates the entire observability lifecycle. For services that start with no instrumentation, no alerts, and no SLOs, gcx treats that as a starting line – not a blocker.
- Instrumentation: Wire OpenTelemetry into any codebase from the terminal, validate that metrics, logs, and traces are flowing, and confirm data lands in the correct backends.
- Alerting and SLOs: Generate alert rules based on real signals your service emits. Define working SLOs against actual latency or availability indicators and push them live.
- Synthetics: Stand up synthetic monitoring probes so users are no longer the first to report an outage.
- Frontend, Backend & Kubernetes: Onboard Faro-instrumented frontends, manage backend services, and integrate Kubernetes infrastructure – all via simple CLI commands.
- Everything as Code: Pull dashboards, alerts, SLOs, and checks as files. Edit locally with your agent, push changes back, and open deep links into Grafana Cloud when a human needs to investigate.
What used to be a multi-day ticket now becomes a single agent session,
added John Smith, engineer at Grafana. gcx collapses the time from detection to resolution from hours to minutes.
Background: The Visibility Gap in Agentic Coding
The way engineers write code is changing rapidly. Agentic tools like Cursor and Claude Code have become highly effective at day-to-day engineering tasks, dramatically accelerating code generation. However, these agents introduce a new visibility gap: they can see source code on the local machine but are blind to production environment data.
Without production context, agents pattern-match on files and hope for the right answer. They don’t see a latency spike on checkout or know whether SLOs are being met. gcx bridges that gap, giving agents real-time access to metrics, logs, traces, alerts, and SLOs so they can make informed decisions based on what is actually happening in production.
What This Means for DevOps and Engineering Teams
gcx redefines how teams respond to incidents. By embedding observability into the command line – the same environment where agents write code – the tool eliminates context switching and speeds up root-cause analysis.
Agents that could only match patterns on source code are now production-aware,
said Dr. Emily Chen, observability researcher. This is a fundamental shift: AI-assisted debugging becomes data-driven, not guesswork.
For organizations already using Grafana Cloud, gcx enables a unified workflow where developers and agents can instrument, alert, and troubleshoot without learning a new UI. For those yet to adopt observability, gcx reduces the barrier from hours to seconds – a single CLI command can instrument a service and set up monitoring.
The preview launch invites engineers to try gcx today. See the full capabilities above or read about the visibility gap. The move signals a broader trend: observability tools are no longer separate from the development environment – they are part of it.
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