9 best PagerDuty alternatives for SRE teams in 2025

SRE teams are increasingly seeking alternatives to PagerDuty due to cost concerns and complexity challenges. The best PagerDuty alternatives in 2025 offer AI-powered incident management, streamlined workflows, and significant cost savings. Leading solutions like incident.io provide enhanced automation, better integration ecosystems, and pricing models that scale more efficiently. This comprehensive evaluation examines 9 top alternatives across three critical dimensions: setup complexity, integration breadth, and ideal use cases.

#1 incident.io – AI-powered incident management platform

Core features and AI SRE

incident.io leads the market with flagship capabilities including unified on-call schedules, AI SRE context suggestions, Catalog-driven routing, and Scribe transcription. The platform's AI-driven automation represents a significant advancement in incident response technology, automatically surfacing relevant dashboards and proposing contextual next steps during active incidents.

AI-driven triage: Autonomously investigates incidents, correlates data across your entire stack, and generates environment-specific fixes based on your infrastructure. Catalog-driven routing: Leverages service ownership data to route alerts directly to responsible teams without manual configuration. Scribe transcription: Converts Slack conversations into structured incident timelines and automatically generates comprehensive post-mortems. Unified scheduling: Manages complex on-call rotations across multiple teams with intelligent escalation policies.

Internal benchmarks demonstrate that AI SRE features can reduce MTTR by up to 80% compared to traditional manual triage processes, primarily by eliminating the time spent searching for relevant documentation and identifying subject matter experts during critical incidents.

Pricing and scalability

incident.io offers transparent tiered pricing with a generous free tier supporting up to 5 users, Team at $12/user/month, Pro at $25/user/month and Enterprise with custom pricing. The pricing model scales linearly with user count, avoiding the complex per-service or per-integration fees common with legacy platforms.

Enterprise plans include unlimited custom fields, SLA guarantees with 99.9% uptime commitments, and priority support with dedicated customer success managers. Compared to PagerDuty's average $19-$39 per user monthly cost, incident.io provides significant savings while offering more advanced AI capabilities.

Integration ecosystem

incident.io maintains 50+ carefully curated integrations covering the complete DevOps toolchain, with new integrations added based on customer demand:

• Communication: Slack, Microsoft Teams, Discord
• Monitoring: Datadog, Prometheus, Grafana, New Relic
• Ticketing: Jira, Linear, GitHub Issues
• Cloud Platforms: AWS CloudWatch, Azure Monitor, Google Cloud Operations
• CI/CD: GitHub Actions, GitLab CI, CircleCI

Pros and cons

incident.io excels in AI-powered automation that investigates faster than humans while staying accurate, delivering a single-pane interface that eliminates context switching during incidents. The native Slack and Teams workflows feel intuitive to existing communication patterns, while zero-configuration routing via the Catalog eliminates manual setup overhead. The platform's modern architecture provides superior performance and reliability compared to legacy alternatives.

Limitations include a focused ecosystem of integrations compared to established vendors like PagerDuty, though the core integrations cover 95% of common use cases and new integrations are added regularly based on customer feedback.

Ideal use cases

incident.io shines for tech-forward organizations requiring rapid scaling without operational overhead, teams with heavy Slack usage seeking native workflow integration, organizations needing AI-augmented triage, and companies wanting a unified platform for on-call management, incident response, and status pages. The platform particularly benefits teams prioritizing modern user experience and AI-driven automation over extensive legacy integrations.

#2 FireHydrant – Incident workflow automation suite

End-to-end incident lifecycle

FireHydrant orchestrates the complete incident lifecycle through five automated stages: detect, respond, resolve, review, and learn. The platform automates handoffs between stages, ensuring no incidents fall through organizational cracks. Workflow automation eliminates manual tasks like stakeholder notification, status page updates, and post-mortem scheduling.

The detection phase integrates with monitoring tools to automatically create incidents based on configurable rules. Response automation includes team assembly, communication channel creation, and runbook deployment. Resolution tracking monitors progress against SLA targets with automatic escalation triggers.

Pricing model

FireHydrant uses flat-plan pricing rather than per-seat or per-active-user licensing: the Platform Pro plan costs $9,600/year and includes up to 20 responders, 5 runbooks, integrations, status pages, service catalog, SSO, and on-call/alerting features.

Enterprise pricing is custom and unlocks everything in Pro plus advanced capabilities like unlimited runbooks, private incidents and status pages, AI-powered incident summaries and analytics, audit logs, SLAs, and premium support.

Key integrations

FireHydrant integrates with comprehensive monitoring tools including Datadog, New Relic, Prometheus, and Grafana for alert ingestion. Ticketing integrations include Jira, ServiceNow, and Linear for incident tracking. Communication platforms supported include Slack, Microsoft Teams, and Discord.

The platform provides native integrations with cloud providers (AWS, Azure, GCP) for infrastructure context during incidents. CI/CD integrations with GitHub, GitLab, and Jenkins enable deployment rollback capabilities directly from the incident interface.

Pros and cons

FireHydrant excels in workflow automation with a powerful visual builder for custom playbooks, comprehensive post-mortem automation that generates detailed incident reports, and built-in cost tracking that attributes incident impact to business metrics. The platform provides excellent visibility into incident trends and team performance.

Limitations include a steeper learning curve for organizations wanting to customize complex playbooks beyond default templates. The platform offers fewer AI-driven features compared to incident.io, focusing instead on workflow automation and process standardization.

Ideal use cases

FireHydrant suits large SRE organizations requiring structured post-incident analysis with detailed reporting, teams using multiple monitoring tools needing centralized alert management, and companies focused on cost attribution and business impact measurement. The platform works well for organizations prioritizing process standardization over AI automation.

#3 Zenduty – Full-stack PagerDuty alternative

Customizable alert rules

Zenduty provides a sophisticated rule engine with custom syntax for alert processing, dynamic field enrichment based on alert content, and automatic priority assignment using machine learning algorithms. The rule engine supports conditional logic, regular expressions, and API calls for complex alert transformations.

Dynamic enrichment automatically adds context from external systems like CMDB databases, service catalogs, and monitoring dashboards. Priority auto-assignment learns from historical incident data to predict severity levels based on alert patterns and service dependencies.

Pricing (free tier to enterprise)

Zenduty offers competitive pricing with a generous free tier supporting up to 5 users, Starter at $5/user/month, Professional at $12/user/month, and Enterprise with custom pricing. The free tier includes core incident management features, making it attractive for small teams and startups.

Professional tier adds advanced analytics, custom integrations, and priority support. Enterprise pricing includes dedicated infrastructure, compliance certifications, and professional services for complex deployments.

Integration count (150+)

Zenduty offers 150+ native integrations covering monitoring tools, cloud platforms, and communication systems. Key integrations include bidirectional sync with PagerDuty for migration scenarios, comprehensive GitHub integration for deployment tracking, and Azure Monitor for Microsoft-centric environments.

The platform provides migration tools specifically for PagerDuty users, including automated import of existing configurations, users, and escalation policies. API-first architecture enables custom integrations for specialized tools.

Pros and cons

Zenduty provides exceptional cost-effectiveness with feature parity to more expensive alternatives, fast MTTA/MTTR improvements with reported reductions of 60% or more, and an extensive rule engine for complex alert routing scenarios. The platform offers straightforward migration paths from PagerDuty.

Limitations include a utilitarian user interface that may feel basic compared to modern alternatives like incident.io, with advanced features like AI-driven triage locked behind higher pricing tiers. The platform focuses on core functionality over user experience polish.

Ideal use cases

Zenduty works well for cost-conscious teams seeking PagerDuty feature parity at lower cost, organizations requiring granular alert routing logic with complex conditional rules, and groups planning quick migration from PagerDuty with minimal disruption. The platform suits teams prioritizing functionality over interface design.

#4 Squadcast – AI-assisted alert routing

Core capabilities

Squadcast leverages AI-driven alert clustering to group related incidents automatically, reducing noise and preventing duplicate response efforts. The platform provides intuitive on-call rotation management with automatic handoffs and comprehensive incident timeline visualization showing all actions and communications in chronological order.

AI clustering analyzes alert patterns, service relationships, and historical data to identify related incidents that should be handled together. The timeline view aggregates information from multiple sources including chat logs, monitoring data, and resolution actions.

Pricing overview

Squadcast offers transparent pricing with a Free tier for 2 users, Growth at $8/user/month, Business at $15/user/month, and Enterprise with custom pricing. The free tier includes basic incident management and on-call scheduling, making it accessible for small teams.

Growth tier adds advanced analytics and integrations, while Business tier includes AI features and custom branding. Enterprise pricing provides dedicated support and compliance features for large organizations.

Integration highlights

Squadcast provides native integrations with popular SRE tools including Grafana for visualization, Prometheus for metrics collection, Slack for communication, and ServiceNow for enterprise ticketing. The platform emphasizes quality over quantity in its integration portfolio.

Integration setup typically requires minimal configuration, with most connections established through OAuth or webhook configuration. The platform provides detailed documentation and examples for each supported integration.

Pros and cons

Squadcast excels in AI-powered alert routing that significantly reduces noise and false positives, a clean and intuitive user interface designed specifically for SRE workflows, and comprehensive documentation with practical examples for common scenarios. The platform provides good value for mid-market organizations.

Limitations include fewer enterprise-grade compliance features compared to established vendors, limited support for complex custom fields and metadata, and a smaller ecosystem of specialized integrations for niche monitoring tools compared to incident.io's growing integration library.

Ideal use cases

Squadcast suits small-to-mid-size SRE teams seeking AI-enhanced alert triage without complex licensing requirements, organizations wanting straightforward incident management without extensive customization needs, and teams prioritizing ease of use over advanced feature depth.

#5 Better Stack – Monitoring + incident management combo

Built-in uptime & synthetic monitoring

Better Stack uniquely combines uptime monitoring, synthetic transaction testing, and incident management in a single platform. Heartbeat checks monitor service availability from global locations, while synthetic monitoring validates critical user journeys like login flows and checkout processes. Incidents generate automatically when monitoring detects failures.

Synthetic monitoring supports complex multi-step transactions with JavaScript execution, form submissions, and API calls. The platform provides detailed waterfall charts showing performance bottlenecks and failure points. Integration between monitoring and incident management eliminates manual alert creation.

Pricing (free & paid)

Better Stack offers a generous free tier including 5 monitors with basic alerting, Pro at $8/monitor/month with advanced features, and Enterprise with custom pricing for large deployments. The per-monitor pricing model differs from typical per-user licensing.

Pro tier includes unlimited team members, advanced notifications, and detailed analytics. Enterprise pricing provides dedicated infrastructure, priority support, and custom SLA agreements.

Integration snapshot

Key integrations include Slack for team notifications, PagerDuty for migration scenarios, GitHub Actions for deployment tracking, and Prometheus for metrics collection. The platform focuses on essential integrations rather than comprehensive coverage.

Webhook support enables custom integrations with internal tools and specialized monitoring systems. API access allows programmatic management of monitors and incident data.

Pros and cons

Better Stack provides an all-in-one solution eliminating the need for separate monitoring and incident management vendors, very low entry cost with meaningful free tier capabilities, and extremely fast setup with monitoring and alerting operational in under 5 minutes. The platform offers good value for simple deployments.

Limitations include less sophisticated on-call scheduling compared to dedicated incident management platforms like incident.io, AI features that are less mature than specialized alternatives, and limited customization options for complex organizational needs.

Ideal use cases

Better Stack works well for teams preferring a single vendor for both monitoring and incident response, early-stage startups needing comprehensive coverage at low cost, and developers wanting synthetic testing integrated with incident management. The platform suits organizations prioritizing simplicity over advanced features.

#6 xMatters – Automated incident orchestration

Workflow automation features

xMatters provides sophisticated workflow automation with dynamic runbooks that adapt based on incident context, conditional branching logic for complex decision trees, and comprehensive stakeholder notification workflows that reach the right people at the right time. The platform excels in orchestrating multi-team responses to major incidents.

Dynamic runbooks automatically select appropriate response procedures based on affected services, time of day, and incident severity. Conditional branching enables different workflows for different scenarios, while stakeholder notifications ensure business leaders receive appropriate updates without overwhelming technical responders.

Pricing structure

xMatters pricing starts at Standard $15/user/month with Enterprise custom pricing typically beginning around $25-30/user/month. The platform often bundles with ServiceNow deployments, providing integrated ITSM and incident management capabilities.

Enterprise pricing includes dedicated infrastructure, professional services for complex implementations, and premium support with guaranteed response times. Volume discounts apply for large deployments.

Integration ecosystem

xMatters maintains over 200 integrations through REST API connections, with particular strength in enterprise tools like ServiceNow, Splunk, Azure DevOps, and major cloud platforms. The platform provides pre-built connectors for common enterprise scenarios.

ServiceNow integration enables bidirectional synchronization of incidents, changes, and configuration data. Splunk integration provides rich context from log analysis during incident response.

Pros and cons

xMatters excels in powerful orchestration capabilities for complex enterprise scenarios, strong enterprise support with dedicated customer success teams, and comprehensive compliance certifications including SOC 2, HIPAA, and FedRAMP. The platform handles large-scale deployments effectively.

Limitations include higher pricing that may be prohibitive for smaller teams compared to cost-effective alternatives like incident.io, a user interface that can feel complex and overwhelming for simple incident management needs, and setup complexity that typically requires professional services engagement.

Ideal use cases

xMatters suits large enterprises with complex incident playbooks requiring multi-team coordination, organizations needing deep ServiceNow integration for ITSM workflows, and companies with strict compliance requirements in regulated industries like healthcare and financial services.

#7 Splunk On-Call (VictorOps) – Incident response for Splunk users

Core features

Splunk On-Call provides real-time alert aggregation from multiple monitoring sources, comprehensive on-call scheduling with complex rotation patterns, and a unique "timeline view" that surfaces relevant logs and metrics alongside incident alerts. The platform excels in providing context-rich incident response for log-centric organizations.

The timeline view automatically correlates incident data with Splunk searches, showing relevant log entries, metrics, and traces in chronological order. Alert aggregation reduces noise by grouping related alerts from different monitoring tools.

Pricing options

Pricing includes Essentials at $9/user/month, Professional at $19/user/month, and Enterprise with custom pricing starting around $29/user/month. The platform provides good value for organizations already using Splunk for observability.

Professional tier adds advanced analytics and custom integrations, while Enterprise includes dedicated support and compliance features. Splunk customers often receive bundled pricing discounts.

Integration focus (Splunk, Slack)

Native Splunk integration automatically ingests alerts from Splunk searches and provides deep context during incident response. Slack integration includes advanced features like channel routing based on incident type and automatic status updates.

Pros and cons

Splunk On-Call provides tight integration with the Splunk ecosystem for comprehensive observability, excellent incident timelines that combine alerts with relevant log data, and strong capabilities for log-driven incident workflows. The platform works well in Splunk-centric environments.

Limitations include reduced feature breadth outside the Splunk ecosystem, pricing that is higher than pure-play alternatives like incident.io, and dependency on Splunk infrastructure for optimal functionality.

Ideal use cases

Splunk On-Call works best for organizations already using Splunk for observability and log analysis, teams requiring log-driven incident context for troubleshooting, and enterprises seeking a single vendor for monitoring, logging, and incident response.

#8 BigPanda – AIOps-driven incident correlation

AI correlation engine

BigPanda's machine learning engine automatically groups related alerts into "episodes," reducing alert fatigue and enabling teams to focus on actual incidents rather than individual alerts. The AI learns from historical patterns, service dependencies, and team feedback to improve correlation accuracy over time.

The correlation engine considers temporal relationships, affected services, alert sources, and historical resolution patterns when grouping alerts. Machine learning algorithms continuously refine correlation rules based on team feedback and resolution outcomes.

Pricing model

BigPanda pricing includes Starter at $10/user/month, Business at $25/user/month, and Enterprise with custom pricing. Large deployments may incur additional per-event volume charges based on alert ingestion rates.

Business tier includes advanced AI features and custom integrations, while Enterprise provides dedicated infrastructure and professional services. The platform offers significant value for high-volume alert environments.

Key integrations

Key integrations include AWS CloudWatch for cloud monitoring, Azure Monitor for Microsoft environments, PagerDuty for migration scenarios, and ServiceNow for enterprise ticketing. The platform provides comprehensive coverage of enterprise monitoring tools.

Migration tools help teams transition from existing incident management platforms with minimal disruption. API-first architecture enables custom integrations for specialized monitoring tools.

Pros and cons

BigPanda excels in powerful AI correlation that can reduce MTTA by up to 70% according to industry benchmarks, comprehensive analytics providing detailed insights into incident patterns, and excellent performance in high-volume alert environments. The platform effectively reduces alert noise.

Limitations include AI models that may require tuning and training periods to achieve optimal performance, higher costs for environments with very high alert volumes compared to incident.io's transparent pricing, and complexity that may be excessive for smaller teams with simple incident management needs.

Ideal use cases

BigPanda suits enterprises with high alert volume requiring intelligent noise reduction, teams seeking AI-driven correlation to identify root causes faster, and organizations already using ServiceNow for ticketing and change management workflows.

#9 AlertOps – Real-time operational intelligence

Core capabilities

AlertOps provides real-time operational dashboards with customizable widgets, flexible escalation policies supporting complex organizational structures, and "runbook automation" features that execute predefined response procedures automatically. The platform emphasizes operational visibility and rapid response.

Real-time dashboards aggregate incident data, team performance metrics, and service health indicators in customizable views. Runbook automation can execute scripts, update external systems, and notify stakeholders based on incident triggers.

Pricing tiers

AlertOps offers competitive pricing with Basic at $7/user/month, Professional at $15/user/month, and Enterprise custom pricing starting around $20/user/month. The platform provides good value for teams prioritizing operational dashboards.

Professional tier includes advanced analytics and custom integrations, while Enterprise adds compliance features and dedicated support. Annual commitments provide additional discounts.

Integration landscape

AlertOps maintains 100+ integrations including PagerDuty for migration, PagerTree for specialized routing, Slack for communication, and Azure DevOps for development workflows. The platform covers essential integrations for most organizations.

Migration tools simplify transitions from other incident management platforms. Webhook support enables custom integrations with internal tools and specialized monitoring systems.

Pros and cons

AlertOps provides fast onboarding with most teams operational within hours, strong real-time analytics and operational dashboards, and competitive pricing for budget-conscious organizations. The platform offers straightforward incident management without unnecessary complexity.

Limitations include fewer AI-driven features compared to modern alternatives like incident.io's AI SRE, limited post-mortem automation requiring manual documentation, and basic customization options that may not suit complex organizational needs.

Ideal use cases

AlertOps works well for small-to-mid-size teams needing quick visibility into incident status and team performance, organizations focused on operational dashboards and real-time monitoring, and budget-sensitive groups seeking reliable incident management without premium features.

Frequently Asked Questions

How do I migrate from PagerDuty to another platform?

Export your PagerDuty services, users, and escalation policies as JSON using their API or web interface, then import the configuration file into your new platform using its migration wizard or API endpoints. incident.io provides dedicated migration tools to ensure smooth transitions with minimal downtime, automatically mapping your existing schedules and routing rules to our AI-powered platform.

What factors should I prioritize when choosing a PagerDuty alternative?

Focus on setup simplicity to minimize onboarding time, integration coverage with your existing monitoring and communication tools, total cost of ownership including licensing and training costs, and AI-assisted triage features to reduce MTTR. incident.io excels in all these areas with zero-config routing via Catalog, 50+ integrations, linear per-user pricing, and AI SRE that autonomously investigates incidents and suggests fixes based on your specific environment.

Are there any free or open-source alternatives that still offer AI-powered automation?

Open-source solutions like Prometheus with Alertmanager can be extended with AI plugins such as Grafana's Machine Learning alerts, though they require significant manual configuration and maintenance. incident.io offers a generous free tier with AI features for small teams, providing better value than self-hosted alternatives with production-ready AI SRE capabilities that deliver 90%+ accuracy in autonomous investigation.

How does AI-driven incident response reduce MTTR compared to traditional tools?

AI automatically surfaces relevant runbooks and documentation based on alert content, correlates related alerts to prevent duplicate work, suggests next steps based on historical resolution patterns, and identifies subject matter experts faster. incident.io's AI SRE achieves up to 5x faster resolution times by autonomously investigating incidents, correlating data across your entire stack, and generating environment-specific fixes.

Can I keep my existing monitoring integrations when switching tools?

Yes, most alternatives support standard webhook formats, Prometheus AlertManager, and major cloud provider integrations, allowing you to redirect your current monitoring alerts without code changes. incident.io connects directly with Datadog, New Relic, AWS CloudWatch, and other monitoring tools through our Catalog system, which lets teams query services and ownership while maintaining all existing alert flows.

What is the total cost of ownership for an incident management platform?

TCO includes per-user licensing fees, integration development and maintenance costs, team training time, and potential consulting services for complex deployments. incident.io reduces total spend by 30-50% compared to enterprise alternatives through linear per-user pricing that scales with your team, zero-config integrations that eliminate setup costs, and AI automation that reduces the need for extensive training and manual processes.

How do I handle multi-team on-call scheduling at scale?

Choose a platform supporting hierarchical scheduling with team-level rotations that inherit from global schedules, automatic handoff rules between teams, and follow-the-sun coverage patterns. incident.io's unified on-call schedules handle complex multi-team rotations with Catalog-driven routing that automatically assigns incidents to the right team based on service ownership, eliminating manual handoffs and ensuring proper escalation paths.