incident.io vs Rootly: AI SRE, Pricing, and Open-Source Options (2026)

Key Takeaway: incident.io and Rootly are two of the most prominent incident management platforms, and both ship a dedicated AI SRE product alongside incident response and on-call. incident.io has a free Basic tier and publishes its prices; Rootly publishes its response and on-call prices but quotes AI SRE through sales. Neither is open source, and neither documents directly querying your cloud infrastructure during an investigation. Aurora is the open-source (Apache 2.0) investigation layer that fills that gap and runs alongside either.

incident.io vs Rootly at a glance

Capability	incident.io	Rootly	Aurora (open source)
Category	All-in-one incident platform	All-in-one incident platform	AI investigation layer
AI SRE / root cause analysis	Yes, dedicated AI SRE product	Yes, dedicated AI SRE product	Yes, autonomous multi-step
Direct cloud API querying	Not documented	Not documented	Yes: AWS, Azure, GCP, OVH, Scaleway, Cloudflare, Kubernetes
Runs CLI (kubectl, aws, az, gcloud)	Not documented	Not documented	Yes, in sandboxed Kubernetes pods
On-call	Yes, over 40 alert sources	Yes, full product	No (use alongside)
Status pages	Yes	Yes	No
Slack-native AI chat	Yes (@incident)	Yes (@Rootly)	No (web dashboard)
Open source	No	No (platform proprietary)	Yes, Apache 2.0
Self-hosted	No	No	Yes
Free tier	Yes, Basic free	No, two-week trial	Yes, free and self-hosted
Starting price	$15/user/month (Team, annual)	$20/user/month (Incident Response)	Free + infra and LLM cost
Notable customers	Netflix, Airbnb, Etsy	NVIDIA, Replit, Canva	Open-source community

What is incident.io?

incident.io is an "all-in-one incident management platform" for on-call, incident response, and status pages. It is one of the most well-regarded tools in the category, with customers including Netflix, Etsy, Intercom, Airbnb, and Vanta shown on its site. The platform spans Incident Response, On-Call with "over 40 alert sources," AI SRE, and Status Pages. Its strengths are a polished Slack-native experience, a free Basic tier, and published per-seat pricing.

What is Rootly?

Rootly describes itself as an "AI-native incident management platform," with the homepage line "AI SRE agents that resolve your hardest incidents." Founded in 2021, it lists customers including NVIDIA, Replit, Canva, and Cisco. Rootly is sold as three product lines: Incident Response, On-Call, and AI SRE. Rootly leans into AI: confidence-scored root cause analysis, an AI meeting bot that transcribes incident bridges in real time, and visibility into "exactly how it reasoned before you decide what to do next."

AI SRE: how the two compare

Both vendors ship a dedicated AI SRE layer, and the feature lists overlap heavily.

incident.io AI SRE (incident.io/ai-sre) will "triage and investigate your alerts, analyse root cause," connect "code changes, alerts, and past incidents" to surface what went wrong, answer questions through @incident in Slack, draft a fix, and draft a post-mortem with timeline and contributing factors. incident.io also ships an officially supported, remote MCP server (public beta) for IDE integration.

Rootly AI SRE (rootly.com/ai-sre) "runs parallel hypothesis checks, correlates alerts, and surfaces root cause with confidence scores," surfaces similar past incidents, provides "suggested fixes and next steps," runs an AI meeting bot for live incident bridges, and exposes its reasoning. Rootly also publishes an MCP server for editors like Cursor and Claude.

The practical difference is less about capability checklists and more about how each engine gathers evidence. Both correlate signals from monitoring tools, source control, and prior incidents, largely inside Slack. Whether either directly authenticates into your cloud accounts to run live commands during an investigation is not documented on their public pages.

On-call and incident response

Both platforms are full incident lifecycle suites. incident.io ships on-call with "over 40 alert sources," a "99.99% reliability" delivery claim, and the ability to "import your schedules and escalation paths" from existing paging tools. Rootly offers schedules with shadow rotations and holiday calendars, escalation policies with gap detection, live call routing, and an on-call pay calculator. Both provide status pages and analytics. This is a close, feature-rich race; the deciding factors are usually UX preference, pricing, and AI depth rather than a missing capability.

Pricing

incident.io (incident.io/pricing):

• Basic: free
• Team: $19/user/month, or $15/user/month billed annually; on-call add-on +$10/user/month
• Pro: $25/user/month; on-call add-on +$20/user/month; AI-native post-mortems editor included
• Enterprise: custom pricing
• Standalone On-Call: $20/user/month

Rootly (rootly.com/pricing):

• Incident Response Essentials: $20/user/month
• On-Call Essentials: $20/user/month
• AI SRE: contact us (no published price)
• Startup discount: up to 50% off for companies under 100 employees, under $50M raised, and under five years old
• Free two-week trial

The clearest pricing contrast: incident.io publishes all of its prices and has a free Basic tier, while Rootly publishes its response and on-call prices but lists AI SRE as "contact us." For a small team that wants to start free and see AI pricing up front, incident.io is the simpler buy. For a team that wants Rootly's specific AI SRE features and is comfortable with a sales conversation, the contact-us path is the trade-off.

Where Aurora fits (the open-source option)

incident.io and Rootly are both strong at coordinating incidents and both add AI to that workflow. Neither is open source, and neither documents directly querying your cloud APIs or running CLI commands during an investigation.

Aurora is built for exactly that job and is fully open source under Apache 2.0:

• LangGraph-orchestrated agents that dynamically select from 30+ investigation tools
• Direct querying across AWS, Azure, GCP, OVH, Scaleway, Cloudflare, and Kubernetes
• Runs kubectl, aws, az, and gcloud in sandboxed Kubernetes pods isolated with NetworkPolicy, behind a layered command-safety check
• Traverses a Memgraph dependency graph for blast radius and searches a Weaviate knowledge base of runbooks and past postmortems
• Suggests a fix and can open a remediation pull request on GitHub, gated on human approval (no auto-merge)
• Works with any LLM provider, including local models via Ollama for air-gapped environments

Aurora is not an on-call tool or a status page. Most teams run it alongside incident.io or Rootly: the SaaS platform coordinates the response, and Aurora investigates the root cause and posts a structured RCA into the incident channel. Write actions wait for a human.

When to choose each

Choose incident.io if you want a free tier to start, published per-seat pricing, a polished UX, status pages, and strong on-call with over 40 alert sources.

Choose Rootly if you want its specific AI SRE features (confidence-scored RCA, visible reasoning, an AI meeting bot) and a Slack and Teams chat assistant, and you are comfortable pricing AI through sales.

Add Aurora if investigation is your bottleneck, you need an agent that directly queries your cloud and Kubernetes, you require open source or self-hosting for compliance or air-gapped environments, or you want to avoid pricing AI through a sales call.

Getting started with Aurora

git clone https://github.com/Arvo-AI/aurora.git
cd aurora
make init
make prod-prebuilt

Point your monitoring webhooks at Aurora, add cloud credentials, and investigations start automatically. See the full documentation.

Related comparisons

• incident.io Alternative: Open Source AI Incident Management
• Rootly Alternative: Open Source, Self-Hosted, and Free
• FireHydrant vs incident.io
• Rootly vs FireHydrant
• Open-Source AI SRE: Aurora vs HolmesGPT vs K8sGPT

All claims sourced from official websites. incident.io data from incident.io. Rootly data from rootly.com. Aurora data from github.com/Arvo-AI/aurora. Last verified: June 2026.