Rootly’s Best Third-Party Integrations to Power Incident Ops

In today’s complex IT environments, managing incidents effectively requires more than just a single tool; it demands a connected ecosystem. The key to successful incident operations (Incident Ops) is centralizing different tools into one automated workflow. Without a unified platform, teams often find themselves juggling alerts, communication channels, and ticketing systems, which slows down resolution and adds unnecessary stress.

This guide explores Rootly’s most valuable third-party integrations and how they help create a more efficient and resilient incident response process. The goal is to reduce Mean Time to Resolution (MTTR), automate manual tasks, and free up your engineers to focus on solving problems.

What are the Most Valuable Third-Party Integrations in Rootly?

Rootly is designed to act as a central command center for incidents by integrating with the tools your teams already use. While the "most valuable" integrations depend on a team's specific tech stack, they typically fall into four main categories: observability, communication, project management, and automation. Connecting these systems creates a smooth flow of information from the first alert to the final resolution.

This integrated approach turns a collection of separate tools into a single, cohesive response system. By bringing alerts and workflows into one place, Rootly centralizes observability and reduces the confusion that can make outages last longer.

How Rootly Centralizes Data from Observability Tools like Splunk, Datadog, and Grafana

Rootly ingests alerts from any observability platform, including Splunk, Datadog, and Grafana, through pre-built integrations or a flexible generic webhook. This means that no matter where an alert originates, it can kick off an organized response in a centralized system.

These alerts can automatically trigger Rootly’s incident workflows, starting the entire response process without requiring manual intervention. For example, an alert from Datadog can instantly create an incident in Rootly, establish a dedicated communication channel, and notify the on-call engineer. This automation eliminates the need for context-switching and allows engineers to see critical data, like charts from Datadog or logs from Splunk, directly within the incident channel.

Can Rootly Connect with Microsoft Teams for Distributed Engineering Teams?

Yes, Rootly has a deep, native integration with both Microsoft Teams and Slack. This feature transforms these chat platforms into the command center for incident response, which is essential for today's distributed and remote engineering teams.

From their chat client, users can perform critical actions using simple slash commands. This includes declaring incidents, assigning roles, running automated workflows, and posting status page updates. By bringing incident management directly into the tools where teams already collaborate, you reduce friction and keep everyone synchronized. This level of integration is a key part of how Rootly powers Autonomous SRE by automating communication and cutting down on manual work.

What Does Rootly’s Integration with Jira Enable?

The Rootly integration with Jira bridges the gap between real-time incident response and long-term engineering work. It ensures that the lessons learned during an incident lead to clear, trackable actions.

With this integration, Rootly can automatically create a Jira ticket as soon as an incident is declared. It can also sync action items from a post-incident review directly to a team's engineering backlog. This creates accountability and makes it easy to track follow-up tasks, helping teams learn from incidents and prevent them from recurring.

Can Rootly Connect with AWS Lambda for Serverless Automation?

Yes, Rootly can connect with services like AWS Lambda to enable powerful, custom automation designed for your specific infrastructure. This is achieved through Rootly’s flexible API and customizable webhooks, which can trigger serverless functions as part of any workflow.

For example, you can configure a workflow to automatically trigger an AWS Lambda function that:

• Restarts a failed service.
• Rolls back a recent deployment.
• Scales up resources in response to performance degradation.

This highlights the power of Rootly's API for creating custom automations, allowing teams to build specific, automated responses based on different failure scenarios.

What Trends Will Define AI Observability Tools in 2026?

The next evolution in incident management integrations is being powered by Artificial Intelligence (AI). By 2026, the focus will shift from simply connecting data to providing intelligent, proactive insights. The AI observability market is expected to grow from $2.1 billion in 2023 to approximately $10.7 billion by 2033, demonstrating a significant industry shift toward smarter systems [1].

This trend marks a transition from reactive firefighting to proactive incident prevention. Companies are recognizing that true disruption comes from combining their first-party data with AI to unlock unique insights and automate processes [2]. As a leader in this domain, Rootly is helping drive this shift toward more effective, AI-driven incident management.

Predictive Analytics and Anomaly Detection

In the near future, AI observability tools will increasingly analyze historical and real-time data to predict potential failures before they impact customers. AI will learn what constitutes a "normal" baseline for a system and automatically flag subtle deviations that could indicate an impending issue. This proactive approach is a key trend in the future of AIOps, which aims to help teams make better decisions with automated monitoring and predictive analytics [3].

AI-Driven Root Cause Analysis and Summarization

AI will also accelerate root cause analysis (RCA) by correlating signals from logs, metrics, and traces across all your integrated tools. Instead of engineers manually digging through data, AI will highlight the most likely causes and contributing factors.

Rootly's platform already reflects this trend with features that use AI to make sense of incident data. Key capabilities include:

• Incident Summarization: Automatically creates concise summaries of an incident's timeline and key events.
• Mitigation and Resolution Summary: Provides a clear overview of the steps taken to resolve the issue.
• Ask Rootly AI: Allows responders to ask plain-language questions about the incident and get instant, data-backed answers.

You can find a detailed overview of Rootly's AI features in our documentation.

Automated Remediation and Self-Healing Systems

The most advanced trend is the rise of "agentic AI," where AI agents not only detect and diagnose problems but can also execute fixes automatically. This paves the way for self-healing systems that can resolve common issues—like restarting a service or applying a known patch—without human intervention. This vision of agentic AI is set to transform IT resilience by autonomously handling routine failures, freeing up human experts for more complex challenges [4].

Conclusion: Build a Resilient Future with an Integrated Ecosystem

Valuable third-party integrations are the foundation of modern incident management, and Rootly acts as the central hub that connects them into a single, cohesive system. The future of Incident Ops is proactive and intelligent, driven by AI observability and automation.

With its robust third-party integrations and native AI capabilities, Rootly isn't just preparing for this future—it's actively building it. By connecting your tools with Rootly, your team can build a more reliable and resilient operation. This AI-driven approach has shown clear results, helping teams cut their MTTR by up to 70%.

Ready to build a more automated and intelligent incident management process? Book a demo to see how Rootly's integrations can transform your operations.

‍