Sold by: PagerDuty
Deployed on AWS
The PagerDuty Operations Cloud is essential infrastructure for all unplanned, time-sensitive, critical work. It automatically detects and diagnoses disruptive events mobilizes the right team members to respond and automate infrastructure and workflows across your digital operations. This means you can resolve unplanned, unstructured, time-sensitive, and high-impact issues quickly - with fewer escalations to your technical teams while minimizing the impact on your customers and maintaining brand trust.
4.5
Overview
High customer expectations and increasingly distributed systems mean disruptions to digital service can have catastrophic effects on sales, brand loyalty, and operating costs. The PagerDuty Operations Cloud deflects unnecessary work from teams and subject matter experts so they can focus on delivering business value. Urgent work is escalated to the right teams and routine work is made self-service. Teams can automate and accelerate issue resolutions with minimal human interruption -and improve system resilience and team capacity while reducing the strain of operational complexity and the unexpected.
With more than 700 integrations, APIs, and apps for customer service, the PagerDuty Operations Cloud empowers rapid responses in any environment. And thanks to more than 10 years of data ingestion, its machine learning-powered AIOps functionality can reduce alert noise by up to 98% and drive down MTTR with critical context for faster triage and effective automation.
PagerDuty integrates with various AWS services, including AWS CloudWatch, Amazon GuardDuty, AWS CloudTrail, AWS Personal Health Dashboard, Amazon EventBridge, AWS Security Hub, Amazon DevOps Guru, AWS Control Tower, AWS Outposts, and AWS S3 Storage Lens.
AIOps PagerDuty AIOps helps teams reduce noise, triage efficiently to drive the right actions towards resolution, and remove manual, repetitive work from the incident response process. Noise reduction baked in with an ML model that learns and adapts based on user behavior means teams see fewer incidents overall. And automating toil from manual event processing results in greater efficiency, saving teams valuable time for innovating.
Process Automation PagerDuty Runbook Automation is a managed cloud service that enables DevOps teams and SREs to create and delegate operational tasks in automated runbooks to other stakeholders such as developers, NOC personnel, and incident responders. Runbook Automation provides automated workflows and task automation focused on IT and developer process automation. Examples include service provisioning, CI/CD, configuration management, incident diagnosis and remediation, and more. With PagerDuty Runbook Automation, you can resolve requests in minutes, rather than days, optimize security and compliance, and give your engineers more time to spend on innovation rather than firefighting.
Incident Response PagerDuty helps you save time and money by bringing together the right teams with the right information to resolve incidents faster. Replace manual processes with automation to streamline incident response, freeing up time and resources for more innovation. Orchestrate end-to-end incident response with a service ownership model that only brings in the teams you need. Over 21K organizations trust PagerDuty to help them adopt DevOps best practices and build more resilient operational practices to minimize costly downtime and protect the customer experience.
Custom Private Offer We can create a custom offer tailored to your needs. Please contact us at aws-sales@pagerduty.com
Highlights
- Incident Response - Manage incidents end-to-end
- Process Automation - Automate and delegate business and IT processes
- AIOps - Maximize IT capacity with fewer incidents and faster resolution
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Professional | On-call and incident response for growing teams | $252.00 |
Business | Streamlined incident response for the enterprise | $492.00 |
CustomerServProfessional | Bi-directional comms between CS & Dev, protect SLAs, & lower MTTR | $252.00 |
CustomerService Business | Bi-directional comms between CS & Dev, protect SLAs, & lower MTTR | $492.00 |
Runbook Automation | Automate manual procedures in runbooks | $1,500.00 |
Automation Actions | Add-on: Automate steps to diagnose & remediate incidents | $240.00 |
Live Call Routing | Add-on: For on-call schedules & escalations (by line) | $1,890.00 |
Runbook Auto Job Runner | Add-on: For Runbook Automation | $750.00 |
Stakeholder Users | Bundle of 50 Stakeholder users | $1,800.00 |
PagerDuty Status Pages | 1000 User Pack | $1,068.00 |
Dimension | Cost/unit |
|---|---|
Additional events over contracted value | $0.06 |
Vendor refund policy
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Our team provides multiple resources for customers to find answers to questions and get help with our product. Users may browse our integration guides (pagerduty.com/integrations) to integrate with partner tools, our knowledge base (support.pagerduty.com) to learn more about using PagerDuty, and our developer docs (developer.pagerduty.com) to use our APIs. Additionally, anyone can interact with other PagerDuty users and PagerDuty employees via the PagerDuty Community (community.pagerduty.com). Our Support team is available during regular business hours around the globe, Monday through Friday, and can be contacted at: Email: support@pagerduty.com or via a ticket submitted at tickets.pagerduty.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By PagerDuty
By SolarWinds
By BMC Software
Top
10
In Agile Lifecycle Management, IT Business Management, ML Solutions
Top
25
In Log Analysis
Top
50
In ELT/ETL
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Alert Noise Reduction
Machine learning-powered functionality that reduces alert noise by up to 98% through adaptive models based on user behavior patterns
Incident Response Orchestration
End-to-end incident management with service ownership model that mobilizes appropriate team members and automates infrastructure workflows
Runbook Automation
Managed cloud service enabling creation and delegation of automated operational tasks including service provisioning, CI/CD, configuration management, and incident remediation
Multi-Platform Integration
Over 700 integrations, APIs, and applications supporting integration with AWS services including CloudWatch, GuardDuty, CloudTrail, EventBridge, Security Hub, and DevOps Guru
Event Detection and Diagnosis
Automatic detection and diagnosis of disruptive events with machine learning-powered AIOps functionality leveraging over 10 years of data ingestion
Unified Observability Platform
Comprehensive visibility across applications, infrastructure, logs, databases, networks, and digital experiences through a single-pane-of-glass interface
AIOps and Machine Learning
AIOps enhanced with machine learning capabilities to simplify management of distributed environments and automatically prioritize alerts to reduce alert fatigue
Automated Instrumentation and Dependency Mapping
Automated instrumentation with dependency mapping and service relationship views to identify multi-level relationships across services
Open Source and Container Support
Support for open-source frameworks, container technologies, and third-party integrations for cloud-native environments
Rapid Deployment and Integration
Quick installation with automated setup and easy integration with SolarWinds Hybrid Cloud Observability for reduced time to value
Workflow Orchestration
Application and data workflow orchestration with scheduling, management, and monitoring capabilities for production workflows
AIOps and Observability
Cloud-native observability and AIOps solution with topology rationalization and root cause analysis for hybrid-cloud environments
IT Asset Discovery and Mapping
IT asset discovery and dependency mapping solution with dynamic topology updates and visual representation of business services
Predictive Resource Optimization
Predictive analytics-driven optimization for IT resources and applications including Kubernetes, microservices, containers, and multi-cloud services
Edge Data Collection and Analysis
Operational technology data collection, aggregation, and analysis at the edge with IT and OT data integration for failure prediction
Standard contract
No
No
No
Customer reviews
Arkajit Das
Real-time incident response has improved but alert grouping and setup still need refinement
Reviewed on May 10, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for PagerDuty Operations Cloud is to handle all technical perspectives of incident management and real-time alerting. I primarily use PagerDuty Operations Cloud for the health tech environment, specifically in telemedicine platform and EHR-related applications, where it is required to ensure high availability.
What is most valuable?
PagerDuty Operations Cloud offers excellent features including the alert system and automated incident escalation capability, which is effective for routing issues to the right team through mobile notifications, SMS, or phone calls.
The real-time monitoring feature in PagerDuty Operations Cloud makes the biggest difference for my team, as it is quite helpful for on-call management and day-to-day operations.
PagerDuty Operations Cloud has positively impacted my organization by working effectively with most cloud service providers like AWS or Azure , improving visibility and reliability of incident responses.
I have seen a reduction in incident response time, with MTTR efficiently reduced by 30 to 40%, better SLA compliance, and improved operational visibility through incident analytics and reporting dashboards since implementing PagerDuty Operations Cloud.
The alert reduction feature in PagerDuty Operations Cloud has minimized downtime and improved incident response efficiency in my organization.
What needs improvement?
There are a couple of areas where PagerDuty Operations Cloud can be improved, such as enhancing Event Intelligence and alert grouping features and simplifying the initial configuration of escalation policies.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud for more than two years.
What do I think about the stability of the solution?
PagerDuty Operations Cloud is stable.
What do I think about the scalability of the solution?
The scalability of PagerDuty Operations Cloud is quite good, as it works well with enterprise-level systems.
How are customer service and support?
Customer support for PagerDuty Operations Cloud is quite effective.
Which solution did I use previously and why did I switch?
Before implementing PagerDuty Operations Cloud, I relied on basic monitoring tools and email alerts for health tech monitoring, and I noticed a significant improvement after switching.
What was our ROI?
I have not reached ROI yet, but I am close, with a reduction in downtime and faster incident resolution.
What's my experience with pricing, setup cost, and licensing?
I would say the pricing is quite mid-range, but the setup cost and licensing can sometimes be a little challenging.
Which other solutions did I evaluate?
Before choosing PagerDuty Operations Cloud, I evaluated basic monitoring tools and email alert systems but found that PagerDuty offered stronger integration and operational visibility.
What other advice do I have?
I would advise others to clearly define their incident management strategy before implementing PagerDuty Operations Cloud. I would rate this solution a 7 out of 10.
Hampig S.
Essential for Incident Management with Room for Improvement
Reviewed on May 06, 2026
Review provided by G2
What do you like best about the product?
I like the bypass feature in PagerDuty, especially since it ensures that even if the phone is on Do Not Disturb or silent, it still pages out. It also offers multiple ways to reach out, which I find very useful. Additionally, the initial setup of PagerDuty was pretty straightforward.
What do you dislike about the product?
It would be nice to be able to acknowledge the pager via voice command without ever touching the phone.
What problems is the product solving and how is that benefiting you?
I use PagerDuty for priority 1 and 2 incidents and on-call purposes. It solves paging people outside working hours. The bypass feature ensures alerts go through DND or silent mode, with multiple contact methods.
SusangRamesh
Automated incident alerts have boosted checkout reliability and increased online sales
Reviewed on May 04, 2026
Review from a verified AWS customer
What is our primary use case?
We have been using PagerDuty Operations Cloud for about 1.5 to two years now.
Our main use case with PagerDuty Operations Cloud is to create automation workflows with the Gen AI capabilities present in PagerDuty Operations Cloud. We run it on our e-commerce platform to detect anomalies whenever they occur.
We want to firefight different situations, so with the Gen AI capabilities of PagerDuty Operations Cloud, whenever an issue arrives during the checkout of a customer, it immediately informs us and we create a Teams channel or a Slack channel to address the issue, determine what the issue is, and fix it immediately. It throws us alerts whenever it is necessary to keep the customer journey much more smooth and much more comfortable.
We particularly use this to avoid different incidents that the customers might face, such as payment database issues, checkout issues, or product not going into cart issues. With the Gen AI provided by PagerDuty Operations Cloud, we are able to sort out everything, get timely notifications, and make the customer's journey much more smooth.
What is most valuable?
One of the best features is the notification categorization that we can do with PagerDuty Operations Cloud, which is the incident type categorization. We can select whether it is a major incident or a minor incident and based on what we select, a dedicated Slack channel or a dedicated Teams channel is created, which is much more helpful for us to diagnose the issue.
With the incident type categorization, we are able to prioritize which issues to sort out first and which issues to sort out later. This has helped us firefight the major issues on a first come first serve basis, so categorization helps us work more efficiently.
With the help of PagerDuty Operations Cloud, we have been able to resolve a lot of issues in a much quicker fashion. Our overall sales has gone up 30% after the introduction of PagerDuty Operations Cloud, which is a major advantageous situation for us.
This was majorly due to reduced downtime and faster response, which made the customer believe us more and made the customer's entire user journey much more smoother. This has directly impacted our sales, and the customer's journey within our e-commerce platform has been very quick with the reduced downtime, so this has helped us gain more sales.
What needs improvement?
Everything is fine now with PagerDuty Operations Cloud, but one thing that they can do to improve is bring more integrations. As of now, only Slack and Teams integration is there for firefighting, and whenever an issue arrives, a notification is provided only on these platforms. A lot of different channels can also be looked into for integration to make the work much more smoother.
For how long have I used the solution?
We have been using PagerDuty Operations Cloud for about 1.5 to two years now.
What do I think about the stability of the solution?
PagerDuty Operations Cloud is very much stable. Being a cloud-front platform, there is no downtime, and with Amazon AWS hosting it, we find it very stable and the updates are also quite regular, which is something that we appreciate very much.
What do I think about the scalability of the solution?
PagerDuty Operations Cloud is very easy to scale, given the Gen AI diagnostics and Gen AI metrics present, and automation is also there, which is quite helpful in scaling up the entire platform and the entire business journey for us as well.
How are customer service and support?
Customer support is very great. We would rate it 10 on 10 because they are very knowledgeable people and we enjoy engaging with them a lot.
Which solution did I use previously and why did I switch?
We did not use any prior solutions to this; we were doing it manually only, and PagerDuty Operations Cloud is one of the first softwares that we have used.
What was our ROI?
We have seen a positive return on investment with the help of PagerDuty Operations Cloud. We have seen an increase in our sales, a 30% increase in our overall sales with the help of PagerDuty Operations Cloud, and also our sales cycle time has reduced a lot. We have seen a 50% improvement in our sales cycle as well with the help of PagerDuty Operations Cloud.
Which other solutions did I evaluate?
We did not evaluate any other options. We just saw the PagerDuty Operations Cloud demo and we were impressed with it, and we went ahead with it as it was much more affordable and it solved our issues.
What other advice do I have?
The incident alert feature that PagerDuty Operations Cloud gives has helped us prevent a lot of issues which are about to come, and a lot of same mistakes have been stopped. The repeating of the same mistakes has been stopped, so this has helped us make new mistakes instead, which is much more better than making the same mistakes again and again. This has helped us grow our business in a much more efficient and much more quicker manner than we expected.
We would definitely recommend that others at least take the trial version of PagerDuty Operations Cloud because for every e-commerce business, or any business, an AI which is as powerful as PagerDuty Operations Cloud must be deployed so as to reduce the number of errors and to improve the overall business efficiency. We urge others to at least try using the trial version. We give this review an overall rating of 10.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Ausaaf Ahmad
On-call workflows have been streamlined and critical alerts are now managed without being missed
Reviewed on May 04, 2026
Review provided by PeerSpot
What is our primary use case?
My primary use case for PagerDuty Operations Cloud is for the on-call support that my team provides. We work in two phases: we build and architect things, and then we support them. Every week, two engineers from my team serve as on-call support engineers for any escalation tasks or emergencies that may happen with our production environment. We have monitoring and observability enabled for our services, applications, and servers. Whoever is the on-call engineer for that particular week follows an escalation matrix with five people: two primary and secondary on-call engineers, two primary and secondary management contacts, and the highest level, which is CVP . If something is not resolved by the primary engineer, it escalates to the secondary engineer, then to primary management, secondary management, and so on. We have a predefined roster that has been scheduled for approximately the next year, where each primary engineer is assigned a week. Every engineer is assigned a role as either a primary or secondary on-call engineer, and any escalations during that period are managed by PagerDuty Operations Cloud and communicated to the primary engineer, who then acknowledges it, resolves it, escalates it, or takes whatever action is needed.
What is most valuable?
The best features of PagerDuty Operations Cloud are that it is a fairly good tool for alerting. Here is how the process works: suppose there is an XYZ server in my environment hosting a production or development application, and a primary on-call engineer has been assigned for that particular week. We have set up monitoring and observability for that node so that if the node is not reachable, an alert is triggered and sends a notification to our integrated Slack channels with PagerDuty Operations Cloud. If the engineer is available, they can acknowledge the alert. If they fail to acknowledge it, the system calls them on their provided number. If that is also not acknowledged, it sends a text message. If those actions are not acknowledged, it sends an alert to the secondary engineer and calls them as well. This multi-channel approach makes it very difficult to miss an important alert or update. PagerDuty Operations Cloud handles this process perfectly, and we do not miss any alerts because of this system.
Regarding the stability of PagerDuty Operations Cloud, I cannot recall an incident where it was not available. I can say that it is 100 percent reliable for my needs.
What needs improvement?
PagerDuty Operations Cloud itself functions well, but our setup sometimes feels irritating. The calls come very early in the morning, and even after we acknowledge them, numerous calls from PagerDuty Operations Cloud pop up before we have fully woken up. We try to snooze them, but this is a result of how we have configured our alerting mechanisms rather than a PagerDuty Operations Cloud issue.
Another piece of feedback is that there should be more options for changing the automated voice that calls us. The automated voice could be better as it is not very interesting and feels outdated. I have not seen updates to it during the time I have been using PagerDuty Operations Cloud. I do not see many updates made to PagerDuty Operations Cloud overall. The UI is simple, but it should be refreshed periodically to keep up with current times. Everything needs a fresh appearance periodically.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud for the past four years.
What do I think about the scalability of the solution?
PagerDuty Operations Cloud's scalability as a solution is fairly straightforward and has maintained its effectiveness. With new integrations being launched periodically, such as Slack and Datadog , the platform has blended itself well from an integration perspective. Whatever top-notch tools we are using as an enterprise solution, PagerDuty Operations Cloud has kept itself current and integrates nicely with all the tools we use these days. Even with upgrades we are making, such as adopting AI agents and using the latest AWS services like Bedrock and SageMaker , it is fairly easy to integrate with PagerDuty Operations Cloud. The platform also provides the option of changing rosters. PagerDuty Operations Cloud has a mobile application that I can use on my mobile phone, and it is fairly easy to use from mobile as well. I can change my rosters and reach out to my primary management and other contacts through the mobile app. It has kept up with recent times and continues to evolve.
What other advice do I have?
I was not involved in the deployment of PagerDuty Operations Cloud because it was already in my organization when I joined. However, after using it for the past four years, I can say it does not need much complexity. The architecture is straightforward, as PagerDuty Operations Cloud is integrated with my Datadog and Slack systems. The integrations are easy, and it is now being integrated with AI agents as well. In the UI, I can see who is on the schedule. Although I was not involved in the deployment, I know it is fairly easy to use.
I would rate PagerDuty Operations Cloud around a nine out of ten. I deduct one point for the lack of updates to the UI, as the platform has not made many updates to its interface. Despite this, it does the job that it needs to do, and I would rate it a nine.
Swapnil Karkala
Automation has transformed incident response and now keeps teams informed before impact
Reviewed on May 04, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for PagerDuty Operations Cloud is to ensure that people and teams get the right information about the right problems at the right time. Before PagerDuty, it was very hard for us to do that manually, while we wasted a lot of time, and we also had a lot of human errors.
Now most of these things are automated, so we do not need to do that manually, allowing us to save a lot of time and cost and reduce a lot of errors, thanks to PagerDuty.
If our team faces production issues, service downtime, server problems, or any critical failure, PagerDuty Operations Cloud is there to inform them on what to do and what should not be done.
What is most valuable?
PagerDuty Operations Cloud offers instant alerts through call, SMS, or application without any delay, easy integration with monitoring tools such as AWS , Datadog , or CloudWatch, effective handling of high-priority incidents, improved overall team coordination during incidents, and quick response for problem resolution.
Instant alerting helps our team during incidents by ensuring the right people and teams get the right information about the right problems at the right time, enabling them to solve any problem before it impacts our business operations.
PagerDuty Operations Cloud has positively impacted our organization by reducing our downtime significantly, increasing revenue with a high percentage of growth, strengthening and stabilizing our relationship with clients, making clients happy and ready to extend our contracts, and reducing the workload and stress on teams.
What needs improvement?
PagerDuty Operations Cloud needs improvement in several areas, including the high price for small teams and companies. I would say that reporting could also be made more accurate.
Additionally, the mobile application needs many improvements. The reason I took off that one point is that the mobile application should be enhanced, and the high price is a concern for smaller teams.
For how long have I used the solution?
I have been working in my current field for eight years and ten months.
What do I think about the stability of the solution?
PagerDuty Operations Cloud is very stable, and I have not experienced any downtime.
What do I think about the scalability of the solution?
I would say it is very scalable, as it has efficiently handled my organization's growth.
How are customer service and support?
Customer support is very responsive and proactive, available twenty-four hours a day, seven days a week.
Which solution did I use previously and why did I switch?
I did not previously use a different solution.
How was the initial setup?
My advice for others looking into using PagerDuty Operations Cloud is that when it matters, the tool is reliable in alerting, escalation, and preventing incidents from failing through the cycle. However, be aware that it has a complex setup and some advanced features feel hidden, such as the mobile application needing vast improvement. Remember to consider the cost if you are a smaller organization, as it is a bit high. Overall, it is a highly recommendable tool to avoid costly late incidents and keep your team aware.
What was our ROI?
I have seen a return on investment as it saves a lot of money by providing timely alerts and automation, with financial figures indicating a profitable journey with PagerDuty Operations Cloud, ensuring faster and more accurate responses to incidents, improving customer service experience, and resulting in fewer SLA penalties.
PagerDuty Operations Cloud's autonomous AI agents have contributed greatly to the efficiency and growth of my organization's needs.
What's my experience with pricing, setup cost, and licensing?
The pricing, setup cost, and licensing are a bit high for smaller teams and companies, but I find it relatively competitive for medium and large enterprises.
Which other solutions did I evaluate?
Before choosing PagerDuty Operations Cloud, I evaluated other options such as Microsoft Teams .
What other advice do I have?
We have implemented AI and automation through PagerDuty Operations Cloud for incident response, which has changed our operational efficiency by allowing us to save a lot of cost and time and reduce human errors.
PagerDuty Operations Cloud is easy to customize, has a very intuitive user-friendly interface, and features great event orchestration. The alert reduction feature has been very helpful in preventing costly incidents in my organization, ensuring the right people and teams get the right information about the right problems at the right time, enabling them to solve problems before they impact our business operations.
Through automation, PagerDuty Operations Cloud's AI functionality has improved our team's ability to focus on core tasks rather than routine issues. I assess the effectiveness of PagerDuty Operations Cloud's generative AI in providing insights for decision-making as accurate and top-notch.
Significantly, we have experienced a reduction in downtime from forty percent to twenty-five percent in recent months. I give this review a rating of nine out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)