Combine Rootly with Prometheus & Grafana for Faster MTTR

Rootly connects Prometheus and Grafana into a single incident response workflow, so alerts do more than notify engineers—they trigger action. Prometheus handles detection, Grafana adds visual context, and Rootly automates incident creation, paging, collaboration, and follow-up. That reduces alert fatigue, cuts manual toil, and helps teams lower Mean Time To Resolution (MTTR).

• Prometheus Alertmanager can forward alerts directly to Rootly.
• Grafana can send incident context into Rootly through webhooks.
• Rootly automates channels, paging, enrichment, and Jira tickets.
• OpenTelemetry alerts can also flow into Rootly through webhook-based workflows.
• Two-way Jira sync keeps incident work and follow-up tasks aligned.

What’s the best way to use Rootly alongside Prometheus and Grafana?

The best approach is to connect monitoring, context, and response in one automated workflow. Prometheus and Grafana continue doing what they do best, while Rootly handles the incident lifecycle from alert intake to resolution and follow-up.

That shift matters because it removes the manual steps that slow teams down: triage, context switching, repeated notifications, and ticket creation. Instead of treating alerts as isolated events, Rootly turns them into coordinated incident actions.

Step 1: Centralize alerts with the Prometheus Alertmanager integration

Prometheus excels at collecting metrics and firing alerts through Alertmanager. In the Rootly workflow, Alertmanager forwards those alerts to a unique Rootly webhook URL, using the configured alert-manager.yml file and secret for secure transmission. Prometheus Alertmanager integration documentation

Once Rootly receives the alert, it can automatically create an incident, route it to the right responders, and trigger the next steps in your runbook. This keeps the first response fast and consistent.

Step 2: Enrich incidents with Grafana visualizations

Grafana adds the visual layer responders need to diagnose issues quickly. Rootly integrates with Grafana by using a webhook as a Grafana alerting "Contact point," so fired alerts can be sent directly into Rootly. Grafana Grafana alerts

From there, Rootly can attach a dashboard snapshot or a direct dashboard link to the incident channel. That means responders see latency, error rates, saturation, or other relevant metrics without hunting for the right dashboard during an active incident.

Step 3: Build automated incident response workflows

Once Rootly ingests the alert, its workflow automation engine can coordinate the response. Common actions include:

• Creating a dedicated Slack or Microsoft Teams channel.
• Paging the correct on-call engineer through Rootly scheduling, PagerDuty, or Opsgenie.
• Adding alert details, playbooks, and Grafana links to the incident.
• Generating a Jira ticket for tracking incident follow-up work.

These workflows can be based on incident properties, which help categorize, prioritize, and route incidents automatically. That gives teams a repeatable process instead of a manual scramble.

Why does Rootly improve incident response more than monitoring alone?

Monitoring tools tell you that something is wrong. Rootly helps you do something about it immediately. That difference is what improves MTTR.

Prometheus and Grafana can produce strong signals, but without a response layer, engineers still have to interpret alerts, gather context, mobilize the right people, and track follow-up work. Rootly removes that gap by centralizing signals and orchestrating action.

Reduce alert overload and context switching

A common SRE toolchain creates a lot of value, but it can also create a lot of noise. When alerts arrive in one system and context lives in another, responders burn time switching tools and correlating events manually.

Rootly reduces that friction by becoming the central command center for incident management. The result is a single place where alerts, collaboration, diagnostics, and task tracking come together.

Close the loop on follow-up work

An incident is not finished when the service comes back up. Rootly’s Jira integration helps teams capture bug fixes, action items, and retrospective tasks without manual data entry. Rootly Jira integration

Rootly can create Jira tickets directly from the incident workflow and keep data synchronized between Rootly and Jira. It also supports two-way synchronization, so status and ownership stay consistent across systems. Jira to Rootly sync Rootly to Jira sync

How does Rootly integrate with OpenTelemetry for unified observability?

OpenTelemetry (OTel) standardizes the collection of traces, metrics, and logs. Rootly does not replace an observability backend; it acts on the alerts generated from one. [3]

Teams can export telemetry into an OTel-compatible backend such as New Relic, Datadog, or Honeycomb, then send alerts from that backend into Rootly through webhooks. [4] [5]

This makes Rootly the action layer for unified observability: one place to turn telemetry-driven alerts into incidents, escalations, and follow-up work.

What else can Rootly connect to besides Prometheus, Grafana, and Jira?

Rootly is built as a central hub for incident management, so it connects with more than just monitoring and ticketing tools. Its integration ecosystem helps teams tie incident response into the rest of their stack. dozens of integrations Splunk, Datadog, and Microsoft Teams

Common integration categories

• Development and CI/CD: GitHub, GitLab, Kubernetes
• Communication: Slack, Microsoft Teams
• Alerting and on-call: PagerDuty, Opsgenie

For custom or in-house systems, the Rootly API makes it possible to build tailored connections.

How do you set up a practical Rootly incident workflow?

A clean setup keeps automation useful instead of noisy. The goal is to send only high-signal alerts into Rootly and let workflows do the repetitive work.

1. Define strong alerting rules in Prometheus so the incoming signal is actionable.
2. Configure Alertmanager to forward alerts to the Rootly webhook.
3. Set Grafana as a webhook contact point for dashboard context.
4. Use Rootly workflows to create channels, page responders, and enrich incidents.
5. Connect Jira so follow-up work is tracked automatically.

That structure gives you a consistent path from detection to resolution, with less manual coordination at every stage.

Rootly gives Prometheus and Grafana a response layer, so alerts become coordinated action instead of extra noise. That makes incident handling faster, more consistent, and easier to repeat across the full lifecycle.