September 4, 2025

Design Self-Healing SRE Workflows with Rootly in 2025

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In 2025, Site Reliability Engineering (SRE) and DevOps teams are shifting from reactive firefighting to proactive engineering. This evolution centers on self-healing systems—setups that automatically detect, diagnose, and resolve issues without human intervention. Rootly acts as the central nervous system for building these automated, self-healing workflows, orchestrating actions across your entire toolchain. This article will cover how you can use Rootly to integrate Infrastructure as Code (IaC) tools, automate Kubernetes rollbacks, design smart escalation rules, and connect with ticketing systems like Jira to build a truly resilient infrastructure.

What Does a Self-Healing Incident Management Setup with Rootly Look Like?

A self-healing system is one that can autonomously recover from faults, a critical capability for managing today's complex, modern infrastructures. By enabling automated remediation with IaC and Kubernetes, Rootly helps teams move beyond simple alerts to create fixes that run on their own. The concept is inspired by the need for digital services to adapt and recover independently, much like systems in nature [1]. Rootly's workflow engine coordinates these automated responses.

A typical self-healing flow in Rootly follows these stages:

  • Detection: An alert is ingested from a monitoring tool like Datadog or Prometheus.
  • Triage: Rootly automatically creates an incident, assigns severity, and can place it in an "In Triage" state for initial assessment.
  • Orchestration: A pre-configured Rootly workflow triggers based on the incident's properties, such as its severity, service, or alert source.
  • Action: The workflow executes automated tasks, from creating a Slack channel for communication to triggering a script or rollback for direct remediation.

Automate Remediation with IaC and Kubernetes

Automated remediation is at the core of self-healing workflows, helping to reduce downtime and free up engineering time. Rootly connects alerts to automated fixes, allowing you to execute repair tasks across your infrastructure without manual effort.

How Can Rootly Integrate with Terraform or Ansible for Automated Remediation?

Rootly integrates with IaC tools like Terraform and Ansible through flexible webhooks and script-based workflow steps. This allows you to trigger automated actions in any external system with an API, representing an advanced level of response automation [2].

The process is straightforward:

  1. Create a Remediation Script: Write a script in Bash, Python, or another language to execute an IaC command, such as terraform apply or running an Ansible playbook.
  2. Expose it via an Endpoint: Host the script behind a secure API endpoint, using a tool like Jenkins or a serverless function.
  3. Configure a Rootly Workflow: Create a workflow that triggers based on a specific incident condition, like an incident type of "Cache Service Failure."
  4. Add a Webhook Task: The workflow calls the API endpoint, passing relevant incident data in the payload to run the script.

This approach lets you build powerful, custom remediation into your incident response process. You can learn more in our guide on automated remediation with IaC & Kubernetes.

Can Rootly Trigger Kubernetes Rollbacks Automatically?

Yes. Rootly can automatically trigger Kubernetes rollbacks, turning a high-stress manual process into a swift, automated action. A reliable rollback strategy is essential for modern systems, as a bad deployment can lead to significant downtime [3].

Here’s how the automated rollback scenario works:

  • An alert from a monitoring tool like Prometheus indicates a spike in errors after a deployment.
  • Rootly ingests the alert and starts an incident.
  • A workflow condition checks if the incident is related to a specific Kubernetes deployment.
  • If the condition is met, the workflow executes a pre-configured task to run kubectl rollout undo and revert to the last known stable version.

This automation reduces Mean Time to Resolution (MTTR), eliminates human error during a crisis, and standardizes the response to bad deployments. With features like auto Kubernetes rollbacks and smart escalation, your team can deploy code with greater confidence.

Design Intelligent Escalation and Communication to Automate Repetitive SRE Workflows

Automating repetitive SRE workflows means ensuring that when a person is needed, the right expert is notified immediately. Manual escalations are slow and error-prone, but Rootly automates the process to save valuable time.

How Can I Design Automated Escalation Rules in Rootly?

You can design automated escalation rules in Rootly to ensure the right people are notified at the right time. The platform provides a few powerful components for building granular policies for smart escalation to reduce alert fatigue.

The core components of Rootly's escalation policies include:

  • Triggers: The event that starts the escalation, such as a PagerDuty alert or a SEV1 incident declaration.
  • Levels: The sequential steps in the notification chain. For example, Level 1 pages the on-call engineer, and if there's no acknowledgment after 10 minutes, Level 2 pages the team lead.
  • Targets: Who gets notified at each level, whether it's specific users, on-call schedules from PagerDuty, or Slack channels.
  • Conditions: Logic that dictates when a specific rule should run. For instance, if the service is 'payments' AND the severity is 'SEV0', page the Head of Engineering.

For teams managing infrastructure as code, Rootly’s API provides endpoints to create and manage escalation levels programmatically [4].

How Rootly Prevents Alert Fatigue in Large-Scale Systems

A key part of automating SRE workflows is managing noise to prevent engineer burnout. Rootly includes several features to combat alert fatigue and ensure critical notifications are never missed.

  • Intelligent Alert Aggregation & Deduplication: Rootly groups related notifications from multiple sources into a single incident, preventing "alert storms" where one underlying issue generates dozens of pages.
  • Smart Routing & Suppression: You can use workflow rules to intelligently route or suppress alerts based on their content, severity, or source. For example, you can auto-acknowledge a flapping alert from a development environment so it doesn't disturb the on-call team [5].

Connect Your Entire DevOps Toolchain with Seamless Integrations

Rootly's power is magnified by its ecosystem of integrations, which allows it to serve as a central hub for orchestrating your entire incident management process.

Can Rootly Automatically Open Jira Tickets When Critical Alerts Fire?

Yes. Rootly's deep, bi-directional Jira integration automates the entire lifecycle of incident-related tasks, from creation to resolution.

With the Rootly-Jira integration, you can:

  • Automatically create a Jira issue when a Rootly incident is declared using the Create Jira Issue workflow action.
  • Automatically create Jira subtasks for action items generated during a post-mortem, ensuring follow-up work is tracked.
  • Automatically update a Jira issue when the Rootly incident changes, and vice-versa, keeping everything in sync.

Our documentation provides a general overview of the Jira integration, as well as specific guides for syncing from Rootly to Jira and from Jira to Rootly.

What Are the Most Useful Rootly Integrations for DevOps Teams?

Rootly connects the tools your teams already use, creating a single command center for incident response. With over 70 integrations, you can build custom workflows that fit your exact needs [6]. This unified approach is often highlighted as a key advantage of the platform [7].

Key integration categories for DevOps and SRE teams include:

  • Alerting & On-Call: PagerDuty, Opsgenie, VictorOps
  • Communication: Slack, Microsoft Teams
  • Project Management & Ticketing: Jira, Asana, Shortcut
  • Monitoring & Observability: Datadog, New Relic, Grafana
  • Developer & Service Catalogs: Backstage, Cortex
  • Infrastructure & CI/CD: Kubernetes, GitLab, GitHub

Conclusion: Build Resilient Systems with Automated Workflows

Rootly transforms incident management from a manual, reactive process into a proactive and automated one. By empowering teams to design self-healing workflows, Rootly helps organizations build more resilient and reliable systems.

The benefits are clear:

  • Drastically reduced Mean Time to Resolution (MTTR).
  • Elimination of manual toil and reduction of alert fatigue for engineers.
  • Creation of more consistent and dependable systems.

Ultimately, Rootly empowers your organization to build a stronger incident response culture, giving you the tools for smart escalation and auto rollbacks.

Ready to see how Rootly can transform your incident management? Book a demo today.