Test and respond with turnkey solutions on Grafana Labs

Incident, response, and learning

Wed, 17 Jun 2026 12:54:46 -0500

Grafana Incident

With Grafana Incident in Grafana Cloud, you can:

Declare and manage incidents with severity levels and status tracking.
Assign roles so everyone knows what they’re responsible for.
Track a timeline of all events and actions during the incident.
Manage tasks during the response.
Auto-generate post-incident reviews from the timeline.
Surface patterns across incidents so recurring failures get addressed.

You keep the alerting tools you already have. IRM sits inside the same platform where your metrics, logs, and traces already live. Grafana IRM bundles Grafana Incident and Grafana OnCall. You don’t have to use both. Each is enabled separately in Grafana Cloud.

What keeps you up at night?

Role / Worries	What you get with the app
On-Call Engineer, SRE I get paged, open PagerDuty to manage the incident, then switch to Grafana to investigate Every minute jumping between tools is a minute the incident isn’t resolved	On-call management and investigation live in the same platform as your metrics, logs, and traces. No tab-switching during an active outage. Grafana Assistant Investigations correlates alerts with observability data automatically, so you spend less time manually piecing together what happened
Developer pulled into an incident Not on-call, but dragged into incidents anyway Don’t know the incident tool, don’t know where to look, and by the time I’m up to speed the incident is already half over	Incident context (timeline, affected services, linked alerts) is surfaced alongside the observability data you already know Automated task assignment means you know exactly what you’re responsible for without needing to know how the incident tool works
Engineering Manager running post-incident reviews Keep having the same incidents Post-mortems are manual, take days, and half the time don’t get done at all	Post-incident reviews are auto-generated from the incident timeline, not assembled manually Patterns across incidents are surfaced so recurring failures don’t get missed
VP Engineering, Finance Paying for PagerDuty seats for every engineer whether they respond to incidents or not Most of those seats are idle most of the time	Active user pricing: you pay for engineers who actually respond to incidents, not provisioned seats sitting unused Teams typically save 40 to 60% compared to per-seat tools like PagerDuty, and IRM is included in the same Grafana Cloud bill you already have

Grafana Cloud IRM: Is it right for you

Wed, 17 Jun 2026 12:08:02 -0500

Is it right for you?

Grafana Cloud IRM meets your needs when you:

Have engineers bouncing between Grafana and a separate incident tool during every incident, and the context switching is slowing resolution.
Are already using Grafana Cloud for observability, and incident management is the missing piece.
Find that post-incident reviews aren’t getting done consistently, or the same incidents keep recurring because nothing is captured and acted on.

Real results from real teams

Prezi

“Grafana IRM provided similar functionality while at the same time saving tens of thousands of dollars per year.”
Clearco

“Grafana IRM makes it clear what the process is, and it’s very clear where to go and what to do. It cuts down on confusion during a time where stress levels can be high, and it gives everyone a clear, common process to gather information while working towards a resolution.”

Catch outages before your users do

Wed, 17 Jun 2026 12:54:46 -0500

Grafana Cloud Synthetic Monitoring

Before your users encounter a problem, Synthetic Monitoring lets you:

Simulate real user interactions — from simple uptime pings to complex browser journeys
Verify availability and performance from 20+ locations around the world

In a single Grafana dashboard:

You define checks as code.
Version the checks in Git, and manage them via Terraform or the API.
Debug failures by correlating with metrics, logs, and traces.

Try it out in Grafana Play

What keeps you up at night?

Role / Worries	What you get with the app
SRE, On-Call Engineer I find out services are down when users report it, not from my own alerts By the time I know there’s a problem, it’s already affecting people	Checks run continuously from 20+ locations around the world. You get alerted the moment something degrades, before users encounter it. When a check fails, you correlate it directly with metrics, logs, and traces in the same Grafana dashboard, so you’re not switching tools to investigate
Developer I need to know if my endpoint is up and performing, especially after a release No way to validate this without waiting for real traffic or a user complaint	HTTP, DNS, ping, and multi-step browser checks let you verify availability and performance at any time, including when real traffic is low You can run checks against internal endpoints too, using private probes behind your firewall, not just public-facing URLs
Platform, DevOps Engineer Synthetic monitoring setup is a pile of manually configured GUI checks Nobody can review them, nobody versioned them, and nobody understands them except the person who set them up	Checks are defined as code using k6, versioned in Git, and deployed via Terraform or API, the same way you manage everything else in your stack 8 check types from simple pings to complex multi-step browser journeys, all manageable as code
VP Engineering, Engineering Manager Paying for synthetic monitoring as part of a Datadog or New Relic contract The cost has grown every time we’ve added a service or location	Execution-based pricing: you pay for what you run, not per seat or per host 100k API executions and 10k browser executions included free every month, and Synthetic Monitoring runs in the same Grafana Cloud instance you already have. No separate contract.

Synthetic Monitoring: Is it right for you

Wed, 17 Jun 2026 12:08:02 -0500

Is it right for you?

Synthetic Monitoring meets your needs when you:

Find out about outages from user reports or support tickets before your own monitoring catches them.
Need to validate availability and performance during releases, off-peak hours, or when real traffic is too low to surface problems naturally.
Have a synthetic monitoring setup in a GUI that’s hard to version, review, or scale; it’s owned by one person and can’t be managed like code.
Have internal services behind a firewall that you need to monitor but can’t reach from public probe locations.
Are already using Grafana Cloud, and the gap between your observability data and your availability checks means switching tools to debug failures.
Are paying a per-host or per-seat premium for synthetic monitoring in another vendor’s product, and the bill grows every time your footprint does.

Real results from real teams

Tally Group

“Prior to this, we did have the production support team. They would log in very early in the morning and run a manual SQL script, which basically is part of their validation check to ensure the platform is healthy. But with synthetic checks, we’re able to automate this… it removes the need and the operational overhead for someone to come in early in the morning.”
LiveRamp

“Grafana Cloud Synthetic Monitoring offers great as-code support, enabling the SRE team to streamline the creation of synthetics checks. Developers only need to provide minimal details, such as job, target, methods, and probes to get the checks they need instantly.”