Grafana Assistant
Grafana Assistant in Grafana Cloud adds the higher-order, agentic features that need the full backend:
- CLI auth tokens, anonymous access, and Slack integration: Cloud-native access and collaboration paths
What keeps you up at night?
| Role / Worries | What you get with Grafana Assistant in Grafana Cloud |
|---|
SRE, On-call Engineer- Getting paged with no context
- Spending 20 minutes writing queries just to understand what’s happening
- Context-switching between tools while the clock runs
| - Infrastructure memory pre-maps your services and dependencies; no time is lost rebuilding context when a page fires
- @Grafana in Slack surfaces dashboards and answers without leaving the incident channel
|
Developer- Never sure you’re querying the right data source
- No idea what your service depends on upstream
| - Infrastructure memory already knows your environment, dependencies, and which metrics matter
|
Senior Engineer, Resident Grafana Expert- Receiving all escalations for dashboards and queries
- Spending more time unblocking others than doing your own work
| - Skills reference your actual dashboards and metric names; team gets environment-specific guidance, not generic advice
|
Engineering Manager, VP Engineering- Best engineers stuck on toil
- Knowledge concentrated in one or two people
- A growing stack most of the team can’t use
| - Infrastructure memory gives any on-call engineer immediate context on services and golden signals, not just seniors
|
Platform Engineer, DevOps- Runbooks that go stale
- A gap between what the stack can do and what the team knows to do with it
| - Skills with MCP auto-approve pre-authorize tool calls to GitHub, Jira, and Slack in a remediation flow; no manual approval mid-incident
|
Grafana, Platform Admin- Controlling who can use AI features
- Preventing Skills from triggering actions they shouldn’t
- Managing the Cloud vs self-managed feature gap
| - Assistant-specific RBAC roles control feature access at a granular level
- MCP auto-approve requires each Skill to declare pre-authorized tools; nothing runs without deliberate configuration
- Self-managed connects with one click; Cloud-only features are hidden in its UI automatically
|
Security, Compliance Officer- AI models trained on sensitive production telemetry
- Prompts leaving your control
- No audit trail for what the AI did during an incident
| - Requests always route through Grafana Cloud, never directly to AI providers, and only minimal prompt context is sent
- Assistant operates within the user’s RBAC scope; it can’t see data the user can’t see
- Full tool use and reasoning history in every conversation gives a complete audit trail
|
