Updated November 20, 2025
TL;DR: Engineering leaders struggling with incident tool sprawl face a critical choice: tools that merely integrate with Slack versus platforms built Slack-native from the ground up. We define what "Slack-native" truly means and compare incident.io, FireHydrant, PagerDuty and Rootly. These tools help reduce Mean Time To Resolution (MTTR), with incident.io leading due to deep Slack/Microsoft Teams-native architecture, unified platform capabilities, and AI SRE achieving 80% precision in root cause identification.
Incidents pull teams into Slack or Microsoft Teams, then scatter the work across dashboards, tickets, and docs, which adds coordination drag and dilutes attention. Slack‑native incident management makes chat the primary interface so responders can declare incidents, coordinate, execute runbooks, and capture timelines inside the channel. This article defines what that entails and compares the incident management platforms that deliver it so you can reduce overhead and improve Mean Time To Resolution (MTTR).
A truly Slack-native platform treats chat as your primary interface, not a notification endpoint. The entire incident workflow happens inside Slack or Microsoft Teams through deep slash command integration, automated channel management, and real-time context capture. You declare incidents, assign roles, update status, resolve issues, and draft post-mortems without opening a browser tab.
Platforms truly built for chat-first workflows reduce cognitive load during high-stress incidents because engineers use muscle memory from daily Slack habits. Teams report that adoption becomes instantaneous because the tools integrate seamlessly into existing communication patterns, making incident response feel natural rather than forced.
Slack-native platforms share four defining traits:
/inc declare through /inc resolve, not just basic notifications.Context switching between tools accounts for more incident time than actual technical troubleshooting. Over 100 incidents per year, this saves 1,500+ minutes (25+ hours) of pure coordination time.
We've split the comparison into two focused tables to make evaluation easier on mobile.
| Feature | incident.io | FireHydrant | Rootly | PagerDuty |
|---|---|---|---|---|
| Slack/Teams Depth | Full native for both; entire lifecycle in chat | Native with bot commands | Native with chat-first design | Web-first; requires separate product |
| Key Commands | /inc declare, /inc update, /inc resolve, @incident | /fh new, /fh update, /fh assign | /rootly declare, /rootly page | Limited; notification-focused |
| AI Capabilities | AI native platform with AI SRE | Summaries, timeline construction | Analysis, Ask Rootly AI | AIOps (add-on, extra cost) |
| Post-Mortem Automation | AI-generated 80% complete in 10 min | Retrospectives with custom questions | Auto-generated from logs | Manual with templates |
| Factor | incident.io | FireHydrant | Rootly | PagerDuty |
|---|---|---|---|---|
| Pricing Model | Starts at $25/user/month all-in with on-call | Custom, typically higher | Transparent tiers | $21-$60+/user with add-ons |
| Target Size | 50+ engineers | 100-1000+ engineers | 50-300 engineers | 500+ engineers |
| Security/Compliance | SOC 2 Type II, GDPR, DORA, SAML/SCIM | SOC 2 Type II, SAML, RBAC | SOC 2 Type II, GDPR, HIPAA | SOC 2 Type II, extensive |
| Support Model | Shared Slack, hours-to-days | Standard, dedicated CSM at enterprise | Standard tiers | Email-only for most plans |
PagerDuty remains a web-first platform with Slack as an afterthought, while incident.io, FireHydrant, and Rootly built their architectures around chat from day one. Teams using true Slack-native platforms become operational in 3-5 days versus PagerDuty's typical 2-6 week configuration.
You're losing 15 minutes per incident to tool sprawl. Alert fires in PagerDuty, coordination happens in Slack, tickets get created in Jira and post-mortems get written in Confluence. Every context switch adds cognitive load, especially if you're dealing with a late-night incident.
We built incident.io to consolidate the entire incident lifecycle into the tool your team already lives in, and our incident management platform's core features reduce MTTR by 25-40% by eliminating the coordination tax.
When a Datadog alert fires for API latency spiking to 5000ms, we automatically create a dedicated Slack channel named #inc-2847-api-latency-spike. The on-call engineer gets paged via push, SMS, and phone. We pre-populate the channel with the triggering alert, full context from your Service Catalog (owners, recent deployments), and an auto-assigned incident lead. No manual setup. No hunting for people.
Engineers manage everything through intuitive commands:
/inc severity high because checkout is affected/inc assign @sarah-devops to make Sarah the incident commander/inc escalate @database-team to bring in specialistsEach command executes instantly and logs automatically. Engineering teams consistently report rapid deployment timelines:
"The onboarding experience was outstanding — we have a small engineering team (~15 people) and the integration with our existing tools (Linear, Google, New Relic, Notion) was seamless and fast less than 20 days to rollout." - Bruno D.'s G2 review
You reclaim 90 minutes per incident. Traditional post-mortem approaches require manually reconstructing timelines from memory and Slack scroll-back. We build the timeline in real-time as the incident happens, so your post-mortem is already 80% written when you type /inc resolve.
During incidents, every action gets captured automatically. When someone posts "Restarted pods at 3:14 AM," that's logged with timestamp and attribution. When you jump on a Google Meet or Zoom call, Scribe joins automatically and transcribes the entire conversation, extracting key decisions without requiring a dedicated note-taker.
Watch this platform overview of incident.io on YouTube
Our AI SRE reduces MTTR by up to 80% by analyzing deployment history, error patterns, and system behaviors. When it identifies the culprit, it can generate fix pull requests automatically, suggesting specific code changes to remediate the issue. This moves beyond log correlation into autonomous investigation.
The @incident AI provides conversational help directly in incident channels. Tag it to draft status updates, create follow-ups, or answer questions without switching tools.
Type /inc resolve and we immediately draft an 80% complete post-mortem using captured timeline data, transcribed call notes, and key decisions. Engineers spend 10 minutes refining instead of 90 minutes writing from scratch.
We provide Microsoft Teams support. Create incidents, manage workflows, use AI features, and coordinate response entirely within Teams.
Pros and cons
Customer feedback consistently highlights ease of use and support quality, with incident.io holding the #1 Relationship Index ranking on G2. Teams like Etsy reduced MTTR after implementation.
FireHydrant streamlines incident response through its runbooks-as-code engine, providing extensive automation for teams that value structured, repeatable processes.
FireHydrant's defining feature is its Runbooks automation engine that codifies incident response processes. When you declare an incident using /fh new, runbooks automatically execute predefined steps like creating Slack channels, notifying specific teams, assigning incident roles, and initiating status page updates. These runbooks are service-specific, so database incidents trigger different workflows than API failures.
The platform emphasizes workflow flexibility through command extensions that create custom Slack commands, templated responses, and HTTP requests to external systems. This appeals to teams with mature, documented incident processes who want to automate existing playbooks.
FireHydrant provides full bot commands across both Slack and Microsoft Teams, including /fh new, /fh update, /fh assign, and /fh on-call. The platform automatically creates dedicated incident channels and allows posting updates to status pages directly from chat.
The AI Copilot offers summaries and timeline construction, though it focuses more on documentation than autonomous investigation.
Choose FireHydrant if you have mature, documented incident processes you want to codify as runbooks, need extensive workflow customization with branching logic, or are a larger organization (100-1000+ engineers) comfortable with custom enterprise pricing.
The platform requires more upfront configuration than incident.io's opinionated defaults, trading faster deployment for flexibility.
Rootly positions itself as a Slack-first automation platform built for engineering teams who value extensive customization.
Rootly describes itself as built from the ground up for Slack-native workflows. The /rootly declare command or one-click message conversion instantly creates incidents with customizable forms. The platform automatically handles channel creation, naming conventions, topic setting, and intelligent responder invitations based on service ownership.
The no-code workflow engine provides comprehensive incident orchestration. Teams configure triggers based on any incident property. Smart Reminders automatically prompt for status updates when channels go inactive. Emoji reactions pin important messages or create follow-up tasks.
Rootly provides enterprise security features particularly suited for regulated industries. The platform holds SOC 2 Type II certification and offers explicit GDPR, CCPA, HIPAA, and DORA compliance support. The platform offers native secrets management with HashiCorp Vault, granular RBAC across incident roles, and comprehensive audit logs.
These capabilities address compliance requirements in financial services, healthcare, and other heavily regulated verticals.
Rootly offers native Microsoft Teams integration with comparable functionality to Slack. Users manage incidents end-to-end in Teams, including instant channel creation with automated playbooks.
Atlassian's decision to sunset Opsgenie by April 2027 creates urgency for thousands of engineering teams. The forced migration deadline means evaluating alternatives now, before timelines compress.
Starting June 4, 2025, Opsgenie stopped accepting new customers. The service shuts down completely April 5, 2027. Atlassian pushes customers toward Jira Service Management (JSM) or Compass as the replacement.
JSM originates as an IT service desk platform, not a real-time incident coordination tool. Effective incident platforms need sub-minute response coordination and chat-native workflows—requirements JSM wasn't designed to meet. When your API is returning 500 errors, navigating JSM's service desk interface costs precious minutes.
Migrating from Opsgenie to incident.io offers three advantages:
We hold SOC 2 Type II certification and GDPR compliance, matching Opsgenie's security posture. SAML/SCIM support provides identity management integration.
PagerDuty dominates the incident management market as the established incumbent, but cracks in the foundation increasingly drive teams to alternatives.
PagerDuty built its reputation on battle-tested alerting capabilities, 200+ integrations, and proven enterprise reliability. The platform excels at sophisticated alert routing with conditional logic and escalation policies. The mobile app receives consistent praise, with iOS ratings of 4.8 stars.
Pricing opacity is driving teams away. PagerDuty's advertised base pricing ($21-$40/user/month) excludes critical features. Noise reduction, AI capabilities, and advanced runbooks all cost extra. Our comparison analysis reveals significant cost escalation after adding required add-ons.
UI complexity creates friction. PagerDuty's web interface reflects its 15-year evolution, with features piled on rather than integrated. Customer reviews frequently mention dated user experience compared to modern alternatives.
Support quality has declined. PagerDuty shifted from live chat to email-only support for most tiers, with response times stretching to days or weeks.
Our Slack/Teams-native architecture eliminates PagerDuty's context-switching tax. Instead of receiving a PagerDuty notification then coordinating in Slack then documenting in Confluence, the entire workflow happens in chat. Over 100 incidents per year, this saves 1,500+ minutes (25+ hours).
Transparent pricing at $25/user/month (Team Plan with on-call) provides cost predictability. Support velocity creates a moat: shared Slack channels with our engineering team mean bugs fixed in hours, feature requests shipped in days.
AI capabilities show the clearest gap. Our validated 80% precision root cause identification with fix PR generation goes beyond PagerDuty AIOps' correlation-focused approach. The difference is autonomous investigation versus assisted troubleshooting.
Both platforms hold SOC 2 Type II certification and offer SAML/SCIM. Our automated timeline capture creates immutable audit trails that satisfy auditors more effectively than manually-constructed records.
Choose PagerDuty if:
Choose incident.io if:
Team size influences platform fit. incident.io optimizes for 50-500 engineers, FireHydrant targets 100-1000+, and Rootly focuses on smaller teams.
Incident volume matters. Teams handling 8+ incidents monthly benefit from automation that reclaims coordination hours. Organizations with 1-2 incidents quarterly may not need sophisticated tooling.
Choose us if:
We excel for engineering cultures that ship fast, break things occasionally, and need rapid recovery as a competitive advantage.
You don't have to lose 15 minutes to coordination overhead. You don't have to spend 90 minutes reconstructing timelines. You don't have to wait 2-3 weeks to get new engineers on-call ready. True Slack-native platforms solve these problems.
incident.io, FireHydrant, and Rootly each offer compelling approaches, with incident.io leading in AI capabilities, unified platform scope, and deployment speed. The architectural choice between chat-native and web-first tools compounds over hundreds of incidents, translating to thousands of hours reclaimed and measurably faster MTTR.
For Opsgenie users facing the April 2027 sunset, the migration timeline is now. For any engineering leader managing incident response across 50-500 person teams, evaluating these platforms isn't optional.
If you're a smaller team try incident.io for free to run your first incident entirely in Slack and see how chat-native incident management feels. Or schedule a demo to see how teams like Etsy reduced MTTR.
Slack-native: Architecture where the entire incident workflow executes within chat using slash commands and automated channels, rather than using chat only for notifications while core work happens in a web UI.
MTTR (Mean Time To Resolution): Average time from incident declaration to resolution. True Slack-native platforms reduce MTTR by 25-40% by eliminating coordination overhead.
Tool sprawl: The operational burden of maintaining multiple disconnected incident tools (alerting, communication, tracking, documentation) that require manual integration and context switching.
AI SRE assistant: Autonomous AI agent that investigates incidents by analyzing deployment history and error patterns to identify root causes and suggest remediation with measurable precision metrics.
Post-mortem: Structured incident review documenting timeline, decisions, and follow-ups. Modern platforms auto-generate 80%+ complete drafts from captured incident data.


The top sessions every SRE should see at this year's AWS re:Invent.
Kate Bernacchi-Sass
The first annual SEV0 in London exceeded our expectations with some amazing speakers and sessions.
Kate Bernacchi-Sass
During the October 20th AWS outage, our platform handled 12,500 hours of incident response and 4.5M requests/hour. Here's how we diagnosed cascading failures in real-time and deployed fixes within hours to build greater resilience.
Pete HamiltonReady for modern incident management? Book a call with one of our experts today.
