March 2, 2026

How Rootly merges observability data into instant automation

Modern engineering teams face a significant challenge: a constant flood of data from numerous observability tools. While this data is crucial for monitoring system health, having it fragmented across various platforms can slow down incident response and increase manual work. When an issue arises, engineers often lose valuable time just piecing together what's happening across different systems.

Rootly acts as a central hub, turning this passive stream of observability data into immediate, automated actions. By connecting your entire toolchain, Rootly streamlines incident management from the first alert to the final resolution, allowing your teams to focus on what truly matters: fixing the problem.

How does Rootly combine observability data with automation triggers?

Rootly functions as a central control hub designed to consolidate signals from all your monitoring, observability, and alerting tools. This approach eliminates the need for engineers to constantly switch between different dashboards and platforms. Instead of manually gathering data, they get a single, clear view of the incident, allowing them to apply their expertise to analysis and remediation.

Ingesting Alerts from Any Source

The first step in automation is to centralize all your data. Rootly collects notifications from a wide range of native integrations, including popular tools like PagerDuty, Opsgenie, and Datadog [4]. This ensures alerts from your existing monitoring stack are automatically fed into a consistent incident response process.

For any tools that lack a native integration, Rootly offers a Generic Webhook. This flexible feature allows Rootly to receive alerts from any service capable of sending a webhook event. It lets you connect virtually any custom or in-house tool to your incident management process without requiring complex API development. For a specific example, you can see how to set up a webhook integration with Honeycomb.

Transforming Data into Action with Workflows

Once data is centralized, Rootly Workflows act as the "if this, then that" engine that powers automation. These workflows are the core of turning observability data into action and follow a straightforward three-phase process. You can find a complete overview of workflow capabilities in our documentation.

  1. Triggers: A workflow begins with a trigger, which is typically an incoming alert from an observability tool. For example, a critical alert from your monitoring system can initiate a pre-built incident response plan.
  2. Conditions: The workflow then uses conditional logic to inspect the details of the alert payload. This allows for precise, targeted responses. For example, a workflow can check if an alert is marked severity=critical and originates from the service=payments-api before proceeding.
  3. Actions: Based on the conditions, the workflow executes a series of automated actions. This could include creating a dedicated Slack channel, paging the correct on-call engineer, or opening a Jira ticket populated with all the relevant alert data.

What are the most useful Rootly integrations for DevOps teams?

The true power of Rootly for DevOps teams comes from its ability to connect disparate tools into a single, automated workflow. With a library of over 70 integrations, teams can build custom processes that fit their specific needs and existing toolchains [1].

Alerting & Monitoring

Rootly provides a single pane of glass by integrating with major monitoring and alerting platforms like PagerDuty, Opsgenie, and VictorOps. This consolidation is the foundation for automating the entire incident lifecycle, ensuring every alert is captured and managed through a consistent, repeatable process.

Issue & Project Management

Manually creating tickets and copying over alert data is a time-consuming task for engineers. Rootly’s deep integration with Jira eliminates this toil by automatically creating tickets for incidents and any follow-up action items. The bi-directional sync feature ensures that updates made in Rootly are instantly reflected in Jira (and vice-versa), keeping all stakeholders aligned without extra work. This ability to automate Jira and escalation workflows is a key benefit for DevOps teams.

Communication & Collaboration

During an incident, clear and timely communication is essential. Native integrations with Slack and Microsoft Teams automate critical communication tasks. With Rootly, you can set up workflows to automatically:

  • Create a dedicated incident channel.
  • Invite the correct on-call responders and subject matter experts.
  • Post regular status updates to keep the wider organization informed.

How can Rootly automatically remediate recurring infrastructure issues?

Beyond simply managing the incident process, Rootly can trigger actions that actively help fix the problem. This is known as automated remediation, and it’s achieved by connecting Rootly's workflows to your infrastructure-as-code (IaC) and configuration management tools.

Using Workflows for Simple Remediation Tasks

For common and well-understood problems, workflows can trigger simple, predefined runbooks. For example, an alert for a stuck process could initiate a workflow that runs a script to restart the corresponding service. This approach is best suited for low-risk, predictable issues where the solution is standardized and the risk of unintended side effects is minimal.

How can Rootly integrate with Terraform or Ansible for automated remediation?

For more mature DevOps teams, Rootly enables advanced automation that closes the loop between detecting an issue and resolving it. It's important to note that Rootly doesn't run tools like Terraform or Ansible directly. Instead, its workflows act as an orchestrator, triggering the external systems that manage your infrastructure.

Here’s a typical automated remediation process:

  1. An alert from a monitoring tool triggers a Rootly workflow.
  2. The workflow sends a webhook call to a CI/CD platform like Jenkins, GitLab CI, or GitHub Actions.
  3. The CI/CD pipeline then executes a pre-approved Ansible playbook or Terraform plan to remediate the issue, such as scaling up a service or rolling back a problematic deployment.

This level of custom automation is possible because of Rootly's flexible, event-driven API, which empowers teams to build highly customized workflows [8]. You can also use other workflow automation platforms like n8n to connect Rootly to over 1,000 other services and build even more sophisticated action sequences [3].

Conclusion: Building Resilient Systems with Connected Automation

Rootly bridges the critical gap between observability and automation. By centralizing data from all your tools and using powerful workflows to drive action, teams can shift from reactive firefighting to proactive, automated remediation. This transformation delivers clear benefits: faster resolution times (lower MTTR), reduced manual toil for engineers, and more consistent, reliable incident management processes.

To see how you can apply this in your own environment, explore how to start creating action items via automation and our API.