We're built from the ground up for teams who want more than just a wake-up call. We handle everything from alerts to resolution in one sleek, intuitive platform.
Incidents don't stop when you are paged,
neither do we
From alert to resolution, give your team everything they need to respond quickly, reduce downtime, and keep customers in the loop.
The PagerDuty way
Trusted for alerting, but stops short—leaving teams to manage chaos across disconnected tools.
The incident.io way
Run the entire incident in one place, with context, comms, and control from start to finish.
We talk to hundreds of PagerDuty customers.
This is a direct window into what they tell us about their experience.
It just felt like it was so outdated
You have all these alerts coming through, but like do you need them?
We can easily, I don’t know, onboard one or two tools in the market.
It just felt like it was so outdated
You have all these alerts coming through, but like do you need them?
Frankenstein's configuration
I'm so over them
Expensive particularly for read-only users
Nobody would be sad if we replaced PagerDuty.
We duct-taped it all together with Zapier and Jira automation.
We want to filter incidents based on schedules, not just escalation policies or tags.
We’re not fully utilizing the service and are really using only a tiny fraction of its features.
Add-ons for status pages, AIOps, etc. make it hard to scale affordably.
Incidents are often acknowledged in PagerDuty but resolved elsewhere (e.g. Jira), causing disconnects and manual work.
Incident process is fragmented and doesn't reduce cognitive load for engineers—impacting psychological safety.
You pay a lot of money for what appears to be no product roadmap.
The UI of PagerDuty hasn’t changed for I don’t know a decade.
An incident will only be tracked if you are actually being routed through to a person.
It only supports SAML but there is no like SCIM integration.
Escalating alerts to another team involves filling out forms or sending emails.
We forgot to cancel it. So, unfortunately, we need to pay them for another year.
We receive approximately 3,500 low-priority alerts annually, many of which resolve themselves.
We often receive between 20 to 100 alerts for a single outage.
The pricing model was complicated by conditions such as free usage for only a limited time.
We cannot remove a responder.
They're very confusing.
We’ve been burned by alert grouping a few times—it’s a black box.
We had to script our own on-call pay calculator.
Configuring on-call schedules is a pain.
One of the things that PagerDuty doesn't allow is having multiple teams linked to one service.
It only allows for creation of chats that are private and not everybody can actually join or follow up during an incident.
There is no end-to-end visibility to our current configuration.
Only a third of them have access to their duties.
We can easily, I don’t know, onboard one or two tools in the market.
So good, you'll break things on purpose
On-call built to reduce burnout, minimize noise, and help your team respond to incidents faster.
How does incident.io compare with PagerDuty?
Details
PagerDuty
incident.io
Alerting
Deep ecosystem of integrations
Native support for systems like Datadog, Grafana, Alertmanager, Honeycomb, Cronitor, etc.
Alert grouping and filtering
Filter inbound alerts, and group based on content and time window.
(requires AIOps add-on)
Generic alert support
For non-natively supported alerting integrations, connect via HTTP, email, etc.
Unified incident management
Selectively ungroup alerts during an incident, in the event that they've been grouped incorrectly.
Modern on-call experience
Enrich alerts with context from external systems, like a service catalog, HRIS system, or CRM.
Scheduling
Scheduling
Create on-call schedules, including basic/single team, through more complex follow-the-sun
Advanced Scheduling
Support for advanced, multi-layer schedules to support dual-on-call, shadow rotations, etc.
(requires multiple separate schedules, no guarantees two people paged)
Overrides
Support for individuals to override the configured schedule for a period of time, for example to cover someone on vacation
Requesting cover
The ability for on-callers to request cover for an on-call shift and have the system find someone to take it and then configure the override
Escalation paths (policies)
Support for schedules and individuals to be linked together with rules for escalating, i.e. notify the first line, but if they don't acknowledge, escalate to L2
Synchronize schedules with calendar
Synchronize an on-call schedule with an external calendar, like Google
Notifications
Configure personal notification preferences
Configure the order and timing of all notifications
Synchronize schedules with Slack user groups
Synchronize active on-callers to a Slack user group
Support for multiple notification channels
Phone, SMS, Email, Push notifications and Slack
Other
Native Android and iOS App
Native mobile applications, approved by Google and Apple, and downloadable through the respective app stores
On-call compensation calculator
Calculate how much individuals are owed for on-call, subject to custom rules
PagerDuty
incident.io
Alerting
Deep ecosystem of integrations
Native support for systems like Datadog, Grafana, Alertmanager, Honeycomb, Cronitor, etc.
Alert grouping and filtering
Filter inbound alerts, and group based on content and time window.
(requires AIOps add-on)
Generic alert support
For non-natively supported alerting integrations, connect via HTTP, email, etc.
Unified incident management
Selectively ungroup alerts during an incident, in the event that they've been grouped incorrectly.
Modern on-call experience
Enrich alerts with context from external systems, like a service catalog, HRIS system, or CRM.
Scheduling
Scheduling
Create on-call schedules, including basic/single team, through more complex follow-the-sun
Advanced Scheduling
Support for advanced, multi-layer schedules to support dual-on-call, shadow rotations, etc.
(requires multiple separate schedules, no guarantees two people paged)
Overrides
Support for individuals to override the configured schedule for a period of time, for example to cover someone on vacation
Requesting cover
The ability for on-callers to request cover for an on-call shift and have the system find someone to take it and then configure the override
Escalation paths (policies)
Support for schedules and individuals to be linked together with rules for escalating, i.e. notify the first line, but if they don't acknowledge, escalate to L2
Synchronize schedules with calendar
Synchronize an on-call schedule with an external calendar, like Google
Notifications
Configure personal notification preferences
Configure the order and timing of all notifications
Synchronize schedules with Slack user groups
Synchronize active on-callers to a Slack user group
Support for multiple notification channels
Phone, SMS, Email, Push notifications and Slack
Other
Native Android and iOS App
Native mobile applications, approved by Google and Apple, and downloadable through the respective app stores
On-call compensation calculator
Calculate how much individuals are owed for on-call, subject to custom rules
Built for everyone in the room
Configure your alerting tool once, and route alerts with the power of Catalog. Route based on features, teams, systems, or services, making sure engineers only get paged when they need to be.
Start with on-call, scale when you’re ready
Our product is built to be flexible. While we believe that our end-to-end incident response is best-in-class, but we understand that not all teams are ready to make the full switch.
Modern on-call and alert management system built for fast moving engineering teams
On-call
Incident Response
AI SRE
Status pages
Insights
End-to-end incident management platform
From alert to resolution, give your team everything they need to respond quickly, reduce downtime, and keep customers in the loop.
What makes PagerDuty hard to love?
PagerDuty pioneered on-call and we have a lot to thank them for…
Yet these days a lot of customers are fed up with clunky setups, hidden costs, and the sense that their product just isn't evolving.