Rootly

Rootly

Rootly Inc

18 ratings
60 reviews
#115 in free Developer Tools
📊 Productivity
🛠️ Developer Tools
Free

Details

  • Released
  • Updated
  • March 27, 2024
  • September 15, 2026

Features

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About

This platform leverages AI to automate on-call and incident management, enabling faster incident resolution and enhanced system resilience. It acts as an SRE assistant, automating root cause analysis and identifying patterns for ongoing improvements.

✓AI-native incident management
✓Automated root cause analysis
✓On-call operations streamlining
✓System resilience improvement
✓Pattern identification for continuous improvement
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What users say

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What's New in Rootly

2.16.0

September 15, 2026

New • Custom alert fields on the alert details page, just like on the web • Transcript tab on incidents • On-call widget on the Lock Screen • Faster coverage requests with quick-select options • "No sound" option for coverage request notifications • Mark alerts as "Not noise" (where enabled for your team) • A reminder when a newer version is available Improved • The "Muted" banner shows how many alerts are waiting • Readable timeline text for call-routing and suppressed re-trigger events • Clickable Zoom links in AI responses • On-call notification settings: press-and-hold to adjust minutes, clearer dividers, smoother scrolling, correct pop-ups after switching themes • A warning when saving a notification step without a method • Clearer messages for SSO-only organizations and custom snooze limits • Manual paging shows only the urgencies your admins allow Fixed • Microsoft Intune sign-in no longer asks for admin approval every time • Saved Views respect their filters • On-call widget no longer stuck with stale data

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Charts

Top Free

📈 115+4

Developer Tools

This app rose +4 positions in Developer Tools chart.

Last updated on September 24, 2026.

User reviews

Check the notification sound

Mine somehow defaulted to blaring and I wanted to hurt someone when I heard that thing.

« Tinder » style coverage requests is awful idea

I have no idea who and under what circumstances thought that taking on coverage through « Tinder » style swipe is good UX, but it is absolutely obvious that it is very-very bad idea for team that actually care to be available during their on call rotation

Helpful

Amazing app, extremely helpful

Oncall how it should be

I feel like I’ve used every on-call tool. From Pagerduty and VictorOps to incident and firehydrant.. this is the best one. Full control of what I need sound wise an easy to use. It’s all I need. I appreciate the thought that went into it.

Dreadful UI to respond to coverage requests

Confusingly and absurdly uses Tinder style swiping to respond to coverage requests with no ability to undo. Makes it easy to accidentally accept things when you are trying to dismiss, but hey, I guess it boosted their coverage metrics. Highly frustrating.

User experience

🐞

Reported Bugs

3 issues

Tinder-style swiping for coverage requests

Bug

SSO token not passed back to iPad app

Bug

App is slow and frustrating

Bug
✨

Requested Features

1 request

Ability to undo coverage requests

Feature

FAQ

What does Rootly do?

Rootly is an AI-native platform designed for on-call and incident management. It helps teams resolve incidents more quickly, build more resilient systems, and optimize their on-call workflows. The platform uses AI to automate tasks like root cause analysis and identify trends for ongoing system improvements.

What are the key features of Rootly?

Key features include AI-native incident management, automated root cause analysis, streamlined on-call operations, and tools to improve system resilience. It also helps identify patterns that contribute to continuous improvement in system performance and reliability.

Is Rootly free to use?

Based on the provided information, the application is listed as free. There are no indications of in-app purchases or advertisements, suggesting a free access model.

Who is Rootly designed for?

This platform is intended for Site Reliability Engineers (SREs) and development teams within companies that need to manage incidents efficiently and improve their system's uptime and reliability. It's particularly beneficial for organizations looking to leverage AI for faster incident resolution.