DashboardGPT: Describe Your Dashboard, We Build It
Create production-ready Grafana dashboards in minutes using plain English - No PromQL required
You already know what a good dashboard should show for your service — request rate, latency percentiles, error rate, resource usage, maybe a few SLO and saturation panels. The problem isn't the mental picture. It's the time it takes to turn that picture into a clean, reliable Grafana dashboard.
DashboardGPT in HealR removes that setup phase. You describe what you want to monitor in plain English, and AI generates a complete, production-ready dashboard you can export, refine, and ship in minutes.
What Is DashboardGPT?
DashboardGPT is an AI-powered dashboard generator inside HealR that turns natural language descriptions into live, production-ready monitoring dashboards.
Instead of starting in Grafana and staring at an empty panel, you start with intent:
DashboardGPT takes that description, understands what you're trying to monitor, and assembles a complete dashboard.
The dashboard you now have can be used immediately.
How DashboardGPT Works
Describe What You Need
You start in HealR's DashboardGPT interface and simply tell it what you care about:
- •The system: API, database, Kubernetes cluster, queue, cache, etc.
- •The focus: performance, reliability, saturation, error budgets, regional health.
You don't need to remember metric names, label keys, or query syntax. You just describe the monitoring outcome you want.
AI Generates Your Dashboard
DashboardGPT analyzes your request and creates a complete monitoring dashboard tailored to your needs. You see widgets appear one by one in a live preview as the dashboard takes shape.
Clarifying Questions When Intent Is Fuzzy
When your intent isn't specific enough, DashboardGPT asks simple, contextual questions instead of guessing:
This keeps you in control while still minimizing friction. It feels like a quick back-and-forth with a senior SRE who wants to get it right.
Real-Time Preview and Editing
As widgets are generated:
- •You can drag and drop panels into the layout you prefer
- •You can click any widget to adjust query, title and description, thresholds and units
- •You can remove panels that aren't relevant. DashboardGPT respects those choices and doesn't re-add removed widgets on subsequent refinements
The goal is simple: AI handles 80-90% of the work, and you spend your time on the last, high-value 10-20%.
Export and Deploy
Once you're satisfied with the dashboard:
- •Export it in standard formats for seamless integration
- •Save the configuration inside HealR so it can be cloned for new services, adjusted as your architecture evolves, reused as a template across teams
From first idea to live dashboard becomes a matter of minutes, not half a day.
Why This Matters for SRE and DevOps Teams
Democratizing Dashboard Creation
Right now, dashboards typically depend on:
- •One or two people who really know PromQL/LogQL and Grafana's internals
- •Long backlogs of "please make a dashboard for X" tickets
With DashboardGPT:
- ✓Any engineer who understands what needs to be monitored can create a solid first version
- ✓SREs and observability leads focus on reviewing, standardizing, and improving, instead of manually building every panel
This spreads observability ownership across the team without forcing everyone to become a query language expert.
Dashboards from Day One, Not "Later"
With DashboardGPT, teams can:
- •Spin up a working, best-practice dashboard at the same time they deploy a new component
- •Avoid the "we'll add dashboards later" trap that leads to blind spots in production
Visibility stops being a nice-to-have follow-up task and becomes part of the normal workflow.
Dashboards That Match the Question
Static dashboards tend to grow until they try to cover everything, and still miss the question you have today.
With DashboardGPT, you can generate focused views on demand:
You get dashboards shaped around current investigations and priorities, not just generic status boards.
What Makes DashboardGPT Powerful
Smart Query Generation
DashboardGPT doesn't just autocomplete metric names; it builds queries that reflect SRE best practices:
- ✓Uses rate and histogram_quantile correctly
- ✓Applies the right label filters and groupings
- ✓Avoids obvious anti-patterns that cause misleading graphs
You still have full visibility into the queries and can tune them, but you never start from a blank box.
Best-Practice Layouts
The generated dashboards follow patterns that make sense under pressure:
- •High-level health and SLIs at the top
- •Resource and dependency details below
- •Related panels grouped logically
This reduces the cognitive load when you're scanning for anomalies or trying to explain the system state to others.
Intelligent Thresholds and Alerts
DashboardGPT also helps wire in alerting:
- •Proposes warning and critical thresholds based on metric type and typical ranges
- •Creates alert rules for the signals that matter most
- •Helps you avoid the trap of dashboards with no alerts, or alerts that are too noisy to trust
You get dashboards that aren't just pretty, they're actionable.
Where DashboardGPT Fits Inside HealR
DashboardGPT is one piece of the wider HealR Agentic AI SRE platform, which also includes:
Agentic War Room
Autonomous incident investigations
Intent-Based War Room
Everyday "something feels off" investigations
TopologyGPT
Topology-aware reasoning
Predictive Insights
Highlight issues before customers feel them
In that ecosystem, DashboardGPT plays a specific role: Whenever you or an AI agent discovers a new question worth monitoring, the dashboard to answer it is one description away. It turns "we should really track this" from a promise into something you can act on immediately.
If you already know what a good dashboard should show, you shouldn't be blocked by query languages, panel JSON, or layout fiddling.
Describe your dashboard.
DashboardGPT will build it.
Mohammed Parvaiz
Product Owner, AutonomOps AI
Helping engineering teams turn advanced AI-SRE into everyday practice.