FireHydrant Alternative: Open Source AI Incident Management

Key Takeaway: FireHydrant is a solid incident management platform — but it was acquired by Freshworks in December 2025, AI features are locked to the Enterprise tier, and there's no autonomous investigation. Aurora is an open source (Apache 2.0) alternative with AI agents that autonomously investigate root causes across your cloud infrastructure — completely free and self-hosted.

What is FireHydrant?

FireHydrant is an all-in-one incident management platform that helps teams plan, respond to, and learn from incidents. Their tagline: "Fight Fires Faster." They claim teams resolve incidents up to 90% faster with their platform.

In December 2025, FireHydrant was acquired by Freshworks (NASDAQ: FRSH). The platform will become the incident management and reliability layer inside Freshservice, Freshworks' ITSM product.

Notable customers: Backblaze (91% faster mitigation), Bluecore (saving 30-90 minutes per incident), Snyk, LaunchDarkly, AuditBoard, Qlik, Avalara.

What is Aurora?

Aurora is an open source (Apache 2.0) AI agent for automated incident investigation and root cause analysis. When an alert fires, Aurora's LangGraph-orchestrated agents autonomously query your infrastructure across AWS, Azure, GCP, OVH, Scaleway, and Kubernetes — delivering a structured RCA with remediation recommendations.

Aurora is free, self-hosted, and works with any LLM provider.

How They Compare

AI Capabilities

FireHydrant AI (Enterprise tier only):

• AI-generated incident summaries from Slack messages
• Automated event timelines
• Real-time call transcription (Zoom, Google Meet) with key point summarization
• AI-drafted retrospectives with contributing factors and suggested action items
• Stakeholder update generation

FireHydrant's AI is documentation-focused — it summarizes what happened, transcribes calls, and drafts retrospectives. It does not autonomously investigate root causes or query infrastructure.

Aurora AI:

• Multi-agent architecture via LangGraph with dynamic tool selection (30+ tools)
• Correlates alerts across services and dependencies
• Constructs investigation timelines linking deployments, infra events, and telemetry
• Generates structured RCA with evidence citations and remediation steps
• Human-in-the-loop for write/destructive actions — read-only commands run automatically
• Executes kubectl, aws, az, gcloud commands in sandboxed Kubernetes pods
• Queries cloud APIs directly — AWS, Azure, GCP, OVH, Scaleway
• Traverses Memgraph infrastructure dependency graph for blast radius
• Searches Weaviate knowledge base (vector search over runbooks and past incidents)
• Suggests code fixes with diff preview — human approves and creates PR
• Works with any LLM provider including local models via Ollama

Incident Response & Coordination

FireHydrant is strong at incident coordination:

• Slack and Microsoft Teams chatbot
• Automated runbooks (triggered by severity, service, or custom fields)
• Incident roles and assignments
• Service catalog with dependency mapping and deployment tracking
• 38+ integrations
• MTTx analytics (MTTD, MTTA, MTTR, MTTM)
• Mobile notifications (iOS, Android)

Aurora creates and manages Slack incident channels, tracks action items with Jira sync, and sends investigation notifications. Aurora does not have Microsoft Teams support, incident roles, service catalog, or mobile app.

On-Call & Alerting

FireHydrant (branded "Signals"):

• Team-based on-call schedules with unlimited escalation policies
• SMS, voice, push, Slack, Teams, email, WhatsApp notifications
• Alert routing via Common Expression Language (CEL)
• Consumption-based alert pricing (not per-seat)
• Alert grouping (Enterprise only)

Aurora has no on-call capabilities. For on-call, use PagerDuty, Grafana OnCall, or Opsgenie alongside Aurora.

Feature Comparison

FireHydrant has, Aurora doesn't:

• Microsoft Teams support
• Incident roles and assignments
• Service catalog with dependency mapping
• Status pages (public and private)
• MTTx analytics dashboards
• Mobile notifications (iOS, Android)
• Deployment tracking
• Call transcription (Zoom, Google Meet)
• SOC 2 compliance
• 38+ integrations
• Consumption-based alerting

Aurora has, FireHydrant doesn't:

• Autonomous AI investigation (FireHydrant AI is documentation-focused only)
• Direct cloud infrastructure querying (AWS, Azure, GCP, OVH, Scaleway)
• CLI execution in sandboxed Kubernetes pods
• Native vector search knowledge base (Weaviate RAG)
• Infrastructure dependency graph (Memgraph)
• Terraform/IaC state analysis
• AI-suggested code fixes with diff preview
• Open source (Apache 2.0) — full codebase auditable
• Self-hosted deployment (Docker Compose, Helm)
• LLM provider flexibility (OpenAI, Anthropic, Google, Ollama)
• Free — no licensing costs

Both have:

• Slack incident channel management
• Automated postmortem/retrospective generation
• Action item tracking with Jira sync
• On-call integrations (PagerDuty, Opsgenie)
• Datadog, Grafana, New Relic monitoring integrations
• GitHub integration
• Runbook/workflow automation
• RBAC and security controls

Pricing

FireHydrant (firehydrant.com/pricing):

• Free trial: 2 weeks, up to 10 responders
• Platform Pro: $9,600/year (flat, up to 20 responders)
• Enterprise: Custom pricing (required for AI features)
• Alerting is consumption-based (separate from platform fee)

Aurora:

• Free — Apache 2.0, self-hosted
• Costs: infrastructure + LLM API usage
• $0 LLM cost with Ollama local models

Note: FireHydrant AI features (summaries, transcripts, triage, retrospectives) are only available on the Enterprise tier. Pro users do not get AI capabilities.

The Freshworks Acquisition Factor

FireHydrant was acquired by Freshworks in December 2025. What this means:

• The platform will be integrated into Freshservice (Freshworks' ITSM product)
• Current accounts, pricing, and support stay the same during transition
• Long-term product direction is now under Freshworks' roadmap
• Some teams may want to evaluate alternatives before deeper Freshworks lock-in

Aurora is independently maintained open source — no acquisition risk, no vendor roadmap dependency.

When to Choose FireHydrant

• You need full incident coordination — roles, runbooks, status pages, service catalog, analytics
• Call transcription matters — real-time Zoom/Google Meet transcription with AI summaries
• Microsoft Teams is required — Aurora is Slack-only
• You want managed SaaS — no infrastructure to maintain
• You're already in the Freshworks ecosystem — Freshservice integration will be seamless

When to Choose Aurora

• Investigation is your bottleneck — you need AI that actually investigates, not just summarizes
• You need direct cloud querying — AI agents that run commands on AWS, Azure, GCP, K8s
• Open source is required — audit how AI investigates your infrastructure
• Self-hosted is required — compliance, data sovereignty, or air-gapped environments
• Budget is limited — FireHydrant Enterprise (required for AI) is custom pricing; Aurora is free
• LLM flexibility — choose your provider or run local models
• You're concerned about the acquisition — Aurora has no vendor lock-in risk
• You want a custom integration — the Arvo AI team builds custom integrations at no cost. Reach out and they'll build it with you.

Limitations of Aurora

Aurora is powerful for investigation but doesn't replace a full incident coordination platform:

• No on-call scheduling — use PagerDuty, Grafana OnCall, or Opsgenie alongside Aurora
• No status pages — use Atlassian Statuspage, incident.io, or Instatus
• Slack only — no Microsoft Teams support currently
• No mobile app — investigation results are accessed via web dashboard
• SOC 2 Type II in progress — not yet certified (FireHydrant has SOC 2)
• Self-hosted requires infrastructure — you maintain the Docker/K8s deployment

"We built Aurora for one job — investigating why incidents happen. We deliberately didn't build on-call or status pages because tools like PagerDuty and FireHydrant already do those well. Aurora is the investigation layer that plugs into your existing stack." — Noah Casarotto-Dinning, CEO at Arvo AI

Getting Started with Aurora

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

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

Learn more at arvoai.ca. For other comparisons, see Aurora vs Traditional Tools, PagerDuty Alternative, and Rootly Alternative.

All claims sourced from official websites. FireHydrant data from firehydrant.com. Aurora data from github.com/Arvo-AI/aurora. Last verified: April 2026.