Sold by: PagerDuty Japan
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.
4.2
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 All PagerDuty platforms are available through a custom private offer. Please use the contact form at <www.pagerduty.co.jp/contact-us/ > for help to create a custom offer tailored to your needs.
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
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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 |
|---|---|---|
PagerDuty Subscription | PagerDuty Operations Cloud on AWS | $50,000.00 |
Dimension | Cost/unit |
|---|---|
Additional events over contracted value | $0.0805 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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.
Similar products
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.
Hawkeye by NeuBird is the first AI SRE agent purpose built for enterprise IT, delivering Autonomous Incident Resolution across hybrid- or multi-cloud environments. It investigates incidents the moment they occur, surfacing root cause and corrective actions before your team even logs in.
Hawkeye integrates seamlessly with your existing observability and incident management stack-including Datadog, Splunk, CloudWatch, PagerDuty, ServiceNow, and Slack. By automating diagnosis and operating within your existing workflows, Hawkeye reduces cost of an IT incident up to 80% and dramatically reduces MTTR.
Gain Full-Stack Visibility and Intelligent Observability for Cloud-Native Applications and Multi-cloud infrastructure. (No EMEA Orders)
Gain Full-Stack Visibility and Intelligent Observability for Cloud-Native Applications and Multi-cloud infrastructure. (No EMEA Orders)
Customer reviews
Abhishek Jadli
Reliable incident paging has kept outages under control but separate client notes are still missing
Reviewed on Jun 23, 2026
Review from a verified AWS customer
What is our primary use case?
My usual use cases with PagerDuty Operations Cloud involve handling incidents through a full flow. When there is an outage, an incident is created that can be either severity one or severity two. As the person on call that day, I receive a page from PagerDuty on the app and three calls on my cell phone. When I pick up the call, PagerDuty IVR asks me to acknowledge the incident. Once I acknowledge the incident from the call, I go to PagerDuty through the website, which is much easier to navigate than the mobile app. I then page other teams responsible for the incident, as well as the stakeholders and product owners.
PagerDuty is integrated with Microsoft Teams, so I open a Teams bridge call to resolve the issue and update all incident details in PagerDuty notes, which automatically integrates with ServiceNow incident and sends messages to stakeholders' phone numbers.
One time while hanging out in the mountains, there was no internet signal but there was cell reception. An incident happened while I was on call that day. Normally, without internet, I would not be able to know about it, but because of PagerDuty, I was paged three times on my cell phone as well as through text message. I managed to call another colleague from my work and told him to take care of the incident. This helped me avoid breaching the SLAs on incident acknowledgment and allowed me to access remote incidents without relying solely on the internet.
What is most valuable?
The features of PagerDuty Operations Cloud that I find most valuable involve being automatically paged whenever an incident is triggered. PagerDuty has group names embedded into it, and when we set up PagerDuty in our organization, we embedded the group name, allowing me to page other respondents without having to go separately into Microsoft Teams, add everybody's name, and then ping and call them. I can do this directly from PagerDuty itself.
The notes update feature allows me to put the details of the incident in the notes and click post, and it is integrated everywhere. Everything is centralized.
PagerDuty Operations Cloud has improved my team's ability to focus on core tasks rather than routine issues primarily due to its availability and reliability. We do not worry about whether PagerDuty will call us when an incident triggers, allowing us to focus on that incident. The notes update process ensures that everyone gets informed with just one update.
What needs improvement?
I think PagerDuty Operations Cloud could be improved by having two fields for incident updates. In my work, I handle incidents that have two fields: work notes visible only to developers working on the incident and additional comments visible to the client. When I update through PagerDuty, everything gets updated into the additional comments. There should be two fields, perhaps based on how it is integrated with ServiceNow.
I have not used PagerDuty's autonomous AI agents or generative AI, so I am not sure whether it is integrated.
I can evaluate the effectiveness of PagerDuty Operations Cloud in providing insights for decision-making, and I rate it around seven out of ten. PagerDuty Operations Cloud is really helpful. With generative AI integrated and a chatbot, I think it would bump the rating up to nine, but I have not used it yet, so I cannot say for certain.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud for around one and a half years.
What do I think about the stability of the solution?
Regarding the reliability and stability of this product, I find it really stable. Based on my personal experience in the mountains, I can vouch for it. My organization measures the acknowledgment rate by checking how many times a call rings and how quickly the responder acknowledges the incident. The acknowledgment rate is really good, around ninety to ninety-five percent.
What do I think about the scalability of the solution?
I think the scalability of PagerDuty Operations Cloud is superb. It can handle many requests according to demand. As other members and teams are added to our organization, it has not impacted the latency, call failure, or anything else. The performance is really good.
How are customer service and support?
I do not often communicate with the technical support of PagerDuty. The manuals are created by our team, so we use those.
Which solution did I use previously and why did I switch?
I did not use a different solution for the same use case before PagerDuty Operations Cloud. PagerDuty Operations Cloud was the first solution I used.
How was the initial setup?
I did not participate in the initial setup of PagerDuty Operations Cloud. When I joined the organization after one and a half years of use, it was already set up for me by the IT team.
What about the implementation team?
I have not personally implemented automation through PagerDuty for incident response, but I think some of my colleagues may have done so.
What was our ROI?
I am not aware of the impact of PagerDuty's alert reduction feature on preventing costly incidents in our organization, as that metric is not shared with me.
What's my experience with pricing, setup cost, and licensing?
I am not sure about the influence of PagerDuty Operations Cloud on revenue protection in terms of reducing alert fatigue and incident costs, as these are organizational-level decisions, and employees are not involved in those discussions.
Which other solutions did I evaluate?
Before PagerDuty Operations Cloud was chosen, I did not evaluate other options, as the decision was made by the board members.
What other advice do I have?
My review rating for PagerDuty Operations Cloud is seven point five out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Punit Anand
Alert de-duplication has reduced noise and now improves response time and root cause analysis
Reviewed on Jun 22, 2026
Review provided by PeerSpot
What is our primary use case?
I have integrated other monitoring tools like LogicMonitor , and alerts come to PagerDuty Operations Cloud where we acknowledge them and work upon the issues. I have created multiple services that send alerts to out-of-hours groups for the on-call engineers. We detect issues faster and this helps in root cause analysis. Alert noise reduction is a major use case for us, as it groups duplicate alerts, which is very useful. The mobile application is also excellent.
What is most valuable?
I appreciate the event de-duplication feature in PagerDuty Operations Cloud because my company has many alerts for similar devices or servers, and it groups them together. This helps us see when a particular server's CPU and memory are both spiking, which aids significantly in root cause analysis.
Another feature I value is push notifications. We receive calls, SMS messages, and emails for the same alert, so we do not miss any notifications.
My organization has reduced noise by approximately 20% because of the de-duplication feature in PagerDuty Operations Cloud and the report feature. The report feature sends us a weekly report showing how many similar alerts occurred that week, and we work on reducing those alerts. By following this policy for three months, we reduced noise by 20%, which is a huge achievement for us.
PagerDuty Operations Cloud has improved our response time and mean time to resolution in my organization. We have integrated many monitoring tools through PagerDuty Operations Cloud, and the integration feature is excellent. It integrates very well with other monitoring tools via API and through email. I recommend other organizations use this integration feature.
The platform generates weekly reports showing how many alerts we received and the response time for each service and alert. I now pull daily reports via API. Since my company operates from 7:30 AM to 4:30 PM, with on-calls after hours, I need to know how many alerts occur outside business hours. Using a report scheduled through PagerDuty Operations Cloud API, the system sends me the alerts. I then analyze how many alerts came that night and work with the application team to reduce noise and resolve incidents. I value the report feature completely.
As a technical engineer, I observe that noise is being reduced and platform stability is increasing. My company is product-based with many products, and they are becoming more stable because we receive alert notifications faster. PagerDuty Operations Cloud is helping my organization tremendously.
What needs improvement?
Overall, I have positive feedback about PagerDuty Operations Cloud, but as an enhancement, I would suggest the reporting feature could be improved. I generate reports based on the service, but it has a limitation where it cannot send all alerts. The limitation is that it can only send 1,000 incidents using the API. If that capacity could be enhanced to send 2,000 alerts in one report, that would be beneficial.
Currently, we have not applied any automation through PagerDuty Operations Cloud. However, it does help with automation in that when we receive more alerts for a similar issue or for only one server, we know that server's health is not good. We then find the root cause and apply automation directly on the server, not through PagerDuty Operations Cloud. The feature would be useful, but my company does not have the automation feature enabled. It shows as a request trial, so I think we need to try that.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud for one year and two months.
What do I think about the stability of the solution?
We do not experience downtime. However, I have observed one issue: we integrated with LogicMonitor , which is a monitoring tool, and alerts come from there to PagerDuty Operations Cloud. When alerts are resolved in LogicMonitor, they should also resolve in PagerDuty Operations Cloud, but sometimes they do not resolve. This should happen, and I think this is an API issue that needs to be addressed. I am not certain whether other customers of PagerDuty Operations Cloud are experiencing the same issue.
How are customer service and support?
I have no complaints about customer service because PagerDuty Operations Cloud is an incident management tool and it performs that function very well.
Which solution did I use previously and why did I switch?
We preferred PagerDuty Operations Cloud over ServiceNow , which we used previously for the same purpose. When an alert came, we would call engineers, and ServiceNow has that feature as well. However, PagerDuty Operations Cloud is much more advanced in terms of notifying users and reducing the time to respond. We are satisfied with it and are not planning to move to other tools currently.
How was the initial setup?
I joined this organization one year and two months ago, and the initial setup was already done. I only enhanced that setup and created new integrations and new event orchestrations. I cannot comment on the initial setup itself, but I am confident it would have been easy.
Which other solutions did I evaluate?
Overall, I can say PagerDuty Operations Cloud is a critical part of our incident management process. Reliability and alert delivery are strong compared to other tools such as ServiceNow. The area where we see the biggest opportunity is AI-driven event correlation, richer alert context, and improved analytics. I do not think any other tool is near that level. We tried ServiceNow because we have it as well, but it does not match PagerDuty Operations Cloud. The overall feedback is positive.
What other advice do I have?
I would recommend that organizations with high alert noise, whether similar to my company or larger companies, should try PagerDuty Operations Cloud. They should use its event and alert de-duplication features and integration with other tools, which are excellent. The calling notification feature is also very good. Overall, it is a strong solution. I rate PagerDuty Operations Cloud as nine out of ten because I do not see any gaps in what I use on a daily basis.
Ajay Agrawal
Integration workflows have become seamless and now power AI-driven incident management
Reviewed on Jun 17, 2026
Review from a verified AWS customer
What is our primary use case?
I started as a user working in an operations team where we handled the AWS infrastructure deployed for a particular company. Whenever any issue occurred, we received pages using PagerDuty Operations Cloud . I gradually learned about PagerDuty Operations Cloud and started integrating it into different workflows. I began integrating it to make Slack bots, and right now I am using PagerDuty Operations Cloud API endpoints to make AI agents as well. I can think of myself as an integration engineer who works extensively with integrating different services, one of which is PagerDuty Operations Cloud.
I also use xMatters alongside PagerDuty Operations Cloud. Speaking from an integrations engineer's perspective, I have not integrated xMatters heavily, but I have been a user of xMatters more lately. The major difference I observed was the workflow management. xMatters has better workflow management than PagerDuty Operations Cloud. Let me explain what I mean by workflow management. If you have a company with ten teams working on a particular product, every member of those teams may or may not receive a page. Every member should have an orchestrator where they can define custom rules such as a service should be paged directly to X team, or if a page comes from ABC issue, it should directly go to Y team without having me to manually put the team name or team details regarding where to page. This capability is lacking in PagerDuty Operations Cloud while in xMatters, it is flawlessly integrated where you can add custom rules and custom rule sets. In PagerDuty Operations Cloud, we have to create separate pages for that functionality. However, when I talk about integration, the xMatters API toolkit is confusing and disorganized. The tree structure is not present in xMatters, but I appreciate that about PagerDuty Operations Cloud. Integration-wise, PagerDuty Operations Cloud is flawless. I love PagerDuty Operations Cloud from an integration perspective, but it makes my life difficult if someone wants me to integrate xMatters.
What is most valuable?
I appreciate the overall API toolkit very much. It is one of the simplest API toolkits I have seen that lets me do literally anything via API calls, which I can essentially do via the browser. I do not even need to log into my browser to do anything if I have a CLI or any tools integrated with it.
I have built an AI agent which detects if any page comes into PagerDuty Operations Cloud. PagerDuty Operations Cloud has webhooks, which is great. If anything comes into PagerDuty Operations Cloud, I basically poll every detail of that page, perform some incident resolution, and do something on the infrastructure according to whatever page I receive. I add comments in the pages via PagerDuty Operations Cloud API and then do the whole incident life cycle using all the APIs. There is also a very good Python library called PDPYRAS, which I use extensively, which uses PagerDuty Operations Cloud APIs to build SDK. I have developed my own CLI toolkit using PagerDuty Operations Cloud APIs itself, which is on my GitHub .
The UI is good and looks good, but sometimes when pages come very frequently, such as receiving ten to fifteen pages per five to ten seconds, it works flawlessly. However, when you tie your PagerDuty Operations Cloud instance to very large-scale infrastructure where you have millions of instances and get at least five to ten pages per second, the UI starts to hang. The API works flawlessly even then, but if someone does not know how to use all the integrations that PagerDuty Operations Cloud provides, they have only one choice but to log into the UI and check for the pages. Then they will have to face the lag in the UI.
Integration is very easy. I have completed entire integrations, deployments, and testing within six hours. It is just so easy.
One person can do everything end to end on their own. I have done it multiple times, and I have seen other people doing it multiple times as well. Everything is very seamless. I should also appreciate the official documentation that you have. Usually official documentation is not that good, but yours feels like someone has taken time to write those documents. The commands which you have written for back-end integration are straightforward. I literally have to just copy and paste after setting environment variables.
What needs improvement?
I believe you really need to work on your UI. The UI is good and looks good, but when pages come very frequently, such as receiving ten to fifteen pages per five to ten seconds, it works flawlessly. However, when you tie your PagerDuty Operations Cloud instance to very large-scale infrastructure where you have millions of instances and get at least five to ten pages per second, the UI starts to hang. The API works flawlessly even then, but if someone does not know how to use all the integrations that PagerDuty Operations Cloud provides, they have only one choice but to log into the UI and check for the pages. Then they will have to face the lag in the UI. This is the area where I feel improvements are needed.
PagerDuty Operations Cloud does require a fair amount of maintenance. Many incidents go into triage and need to be regularly cleaned up. If an incident comes for which we have not set rules to auto acknowledge and close, it basically stays in the triage and we have to manually clean it up. I think an auto-detection mechanism can be implemented out of the box. Because it is not there currently, we have to develop modules around that. An alternative would be webhooks that you can come up with which we can utilize to implement this out of the box.
The only lag I have experienced is the UI lag that I have already described.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud for more than five years now.
What do I think about the scalability of the solution?
PagerDuty Operations Cloud is scalable. I have not faced any issues with scalability. It is pretty good when it comes to scalability.
How are customer service and support?
I have contacted support multiple times.
There are ticket levels which we can create. I have not called the support team on the phone, but I have mailed and raised tickets with them. There have been instances where I had to integrate a very old server, AIX server framework to PagerDuty Operations Cloud for which the modules were not present in PagerDuty Operations Cloud. I am not blaming them for this; I am blaming the company who are using AIX servers. However, they did not have the module, so I had to raise a ticket. It was around Severity 3. The response was not super fast, which is expected. However, as soon as it escalated to Severity 2, I received an immediate email from PagerDuty Operations Cloud team. I think the support is fine. I have faced just one time some inconvenience. I do not know what was the reason, but there was one time where I did not receive any response for two days. Thank goodness it was not a Severity 1 incident for us, but two days was unacceptable at that point. Hence we started looking at other products including xMatters. There has been just one instance, but the company which I work with, even one instance sometimes causes a lot of friction. People start looking at other options. However, there has been just once.
How was the initial setup?
Integration is very easy. I have completed entire integrations, deployments, and testing within six hours. It is just so easy.
What about the implementation team?
One person can do everything end to end on their own. I have done it multiple times, and I have seen other people doing it multiple times as well. Everything is very seamless. I should also appreciate the official documentation that you have. Usually official documentation is not that good, but yours feels like someone has taken time to write those documents. The commands which you have written for back-end integration are straightforward. I literally have to just copy and paste after setting environment variables. Everything is very easy.
Which other solutions did I evaluate?
I use xMatters alongside PagerDuty Operations Cloud. Speaking from an integrations engineer's perspective, I have not integrated xMatters heavily, but I have been a user of xMatters more lately. The major difference I observed was the workflow management. The workflow management in xMatters is better than PagerDuty Operations Cloud. Let me explain what I mean by workflow management. If you have a company with ten teams working on a particular product, every member of those teams may or may not receive a page. Every member should have an orchestrator where they can define custom rules such as a service should be paged directly to X team, or if a page comes from ABC issue, it should directly go to Y team without having me to manually put the team name or team details regarding where to page. This capability is lacking in PagerDuty Operations Cloud while in xMatters, it is flawlessly integrated where you can add custom rules and custom rule sets. In PagerDuty Operations Cloud, we have to create separate pages for that functionality. However, when I talk about integration, the xMatters API toolkit is confusing and disorganized. The tree structure is not present in xMatters, but I appreciate that about PagerDuty Operations Cloud. Integration-wise, PagerDuty Operations Cloud is flawless. I love PagerDuty Operations Cloud from an integration perspective, but it makes my life difficult if someone wants me to integrate xMatters.
What other advice do I have?
Regarding pricing, I do not remember the current prices, but I used the first tier about two years back for one of the startup failures which I was working on. That startup did not work out, but I integrated PagerDuty Operations Cloud with a lot of things there.
For the enterprise and for large-scale enterprises, the pricing is good. I will not even say it is fine; it is good for large-scale enterprises. However, for small-scale startups and small businesses, because they already are in a very nascent stage, the pricing is a little on the higher side. There is no custom module which I can just add to my cart which gets me custom pricing. It is just one bucket. For small-scale operations, I think the pricing is a bit pricey.
I do not use PagerDuty Operations Cloud's AI assistant, but I integrate the back-end to create agents. I do not use their default ones. I have never used it, and I do not know how good or bad that is. I am integrating PagerDuty Operations Cloud modules, APIs, and SDKs to develop AI agents, not using anything which comes out of the box.
My overall review rating for PagerDuty Operations Cloud is eight out of ten.
RajbhushanSharma
Centralized alerting has streamlined on-call workflows and reduced incident response times
Reviewed on Jun 13, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for PagerDuty Operations Cloud is to manage critical alerts and incidents across our production systems. It helps our team route alerts to the right people, manage on-call schedules, coordinate responses, and reduce downtimes. We also use its integrations with our monitoring and collaboration tools, so issues are identified and addressed quickly before they impact our customers.
What is most valuable?
PagerDuty Operations Cloud is part of our daily operational workflow. It sits between monitoring tools and response teams, ensuring alerts reach the right people without delay. We use it for on-call scheduling, incident escalations, and coordinating responses across teams. Having everything centralized has reduced alert fatigue and helped us respond to issues more consistently, especially during off-hours and high-priority incidents.
PagerDuty Operations Cloud offers intelligent alerting, on-call scheduling, automated escalations, and incident management as its best features. The platform makes it easy to ensure alerts reach the right person, and escalation policies prevent critical issues from being missed. We also rely heavily on its integration with monitoring and collaboration tools and its real-time visibility into operations. Together, these features help our team respond faster, stay organized during an incident, and reduce service disruptions for our customers.
What needs improvement?
While PagerDuty Operations Cloud is strong overall, there are a few areas for improvement. The initial setup and configuration can be complex, especially for teams managing multiple services, escalation policies, and integrations. Some reporting and analytics features could offer more customization without requiring additional configurations. The mobile app works well for alerting, but managing more advanced settings is generally easier from the web interface. It would also be helpful to have more out-of-the-box workflow templates and automation recommendations to simplify onboarding for new teams.
To make the daily workflow smoother, simplifying the user interface for certain administrative tasks would be a significant improvement. Sometimes, navigating the settings to adjust on-call schedules or escalation policies can take a few extra steps, particularly for large environments. More customizable dashboards and easier reporting for non-technical stakeholders, along with additional guided recommendations for alert tuning, could help teams get even more value from the platform. These are relatively minor points, but addressing them would make an already great tool even more user-friendly.
I did not give PagerDuty Operations Cloud a perfect rating because there is still room for improvement in areas such as reporting flexibility, dashboard customization, and simplifying certain administrative tasks. Overall, it is a mature and dependable platform that positively impacts our work.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud for a year and a half.
What do I think about the stability of the solution?
PagerDuty Operations Cloud has been very stable for us.
What do I think about the scalability of the solution?
PagerDuty Operations Cloud scales well. As our teams, services, and integrations have grown, the platform has handled the increased workload without requiring any major changes on our side.
How are customer service and support?
The customer support has been really quick and responsive. I would give the customer support a 10 out of 10 because the support team has been responsive.
Which solution did I use previously and why did I switch?
We used a combination of monitoring tools, but we have not used any particular software regarding incident management.
How was the initial setup?
Pricing for PagerDuty Operations Cloud was reasonable for the value provided. Setup was straightforward, and licensing was flexible enough to scale as our team grew. Overall, there were no major concerns in that area.
What about the implementation team?
We purchased PagerDuty Operations Cloud directly through the PagerDuty sales team.
What was our ROI?
We have seen a positive return on investment. The biggest gains have come from faster incident resolution, less time spent managing alerts, and reduced downtime. This has helped the team work more efficiently without needing additional operational resources.
Which other solutions did I evaluate?
We did not evaluate any other option while choosing PagerDuty Operations Cloud.
What other advice do I have?
Take the time to properly set up your alerting rules, escalation policies, and integrations from the beginning. PagerDuty Operations Cloud provides the most value when it is aligned with your team's workflows and requirements. Once configured well, it can significantly improve incident response and reduce alert fatigue while making on-call management much easier. I would rate this product a 9 out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Yarasi Harshavardhan Reddy
Intelligent alerts have protected revenue and now drive faster incident triage with AI guidance
Reviewed on Jun 12, 2026
Review from a verified AWS customer
What is our primary use case?
I have been using PagerDuty for the last nine years, but PagerDuty Operations Cloud for over one and a half years.
We work directly with merchants and need to trigger immediate alerts whenever there are 5xx errors or business errors like 4xx issues, as well as payment failures. We have configured every alert on a data log in some other monitoring tools that are integrated with PagerDuty. We receive alerts very immediately and trigger calls and Slack notifications. We integrate everything with PagerDuty and get notifications instantly, after which we start our triage process.
One use case I can mention is when we have an auth rate dip. Whenever there is an auth rate dip, we run into revenue losses with the merchants or partners that PayPal currently works with. Since everything is integrated, PagerDuty Operations Cloud catches when there is an auth rate dip for particular merchants and immediately triggers a notification for us. We then immediately dive into what the problem is and figure out how to fix the issue with the help of engineering teams.
What is most valuable?
PagerDuty Operations Cloud is one of the best tools we have seen because it is already integrated with AI. We use it as a barrier tool, meaning it is the top tool that we consider and we get notified when there is an issue.
The best features include integrating with any tool and analyzing all previous alerts that have been stored. When an alert occurred on a particular day, we can immediately be notified on Slack with historical data and, since it is integrated with AI, we receive suggestions on how it can be resolved, how it was resolved earlier, and who resolved it. These are the very best features we have seen on PagerDuty Operations Cloud.
Since we have historical data showing when an alert has triggered on a particular day, we can turn it into a problem incident and work with the relevant teams to get it fixed completely so it does not reoccur. We are recording these kinds of repetitive issues using that feature.
It is very helpful that we can integrate with numerous monitoring tools such as Datadog, Splunk, and Kibana. Since we have integrated many other tools, I feel this is one of the features that PagerDuty Operations Cloud offers that makes it great.
What needs improvement?
Since PagerDuty Operations Cloud is already equipped with the latest technologies, I do not feel that anything more needs to be added, including summarizing content, as it is already available. Since it is already connected with AI, I do not feel that any other features could be added, so I do not have a concrete answer right now since we already have a number of features available and this is already a highly improved state.
While PagerDuty has comment functionality, a chat option would be a potential addition.
For how long have I used the solution?
I have been using PagerDuty for the last nine years, but PagerDuty Operations Cloud for over one and a half years.
What do I think about the stability of the solution?
PagerDuty Operations Cloud is highly accurate and there are no issues with the accuracy. It is highly reliable in terms of alert triggering and we do not get any false alarms, with only very minimal ones based on our internal signals. We do not have any complaints about PagerDuty Operations Cloud.
What do I think about the scalability of the solution?
PagerDuty Operations Cloud definitely increases efficiency for us. Since we do not have much manual work with workflows and everything is automated, it definitely helps.
Which solution did I use previously and why did I switch?
We are using only PagerDuty and do not have any other tool in use. There is no other tool that can match PagerDuty Operations Cloud.
What was our ROI?
We definitely have an ROI in terms of earlier requiring multiple employees. Since we are now using AI, we have reduced our staffing needs and can save a lot of time and money as well.
Which other solutions did I evaluate?
There is no other tool that can match PagerDuty Operations Cloud.
What other advice do I have?
Earlier, PagerDuty Operations Cloud was just notifying incidents, but now it is showing historical data and we can see how it was resolved earlier and quickly get notes from that to resolve issues with the historical data and suggestions.
Earlier, when there was an auth rate dip or different signals that we received through Datadog or different platforms, we used to have some false alarms. Now, everything we are using is AI-based with agents that were configured with those signals. We have very accurately configured the AI using factors such as holiday seasons that will have high traffic, and everything was configured with historical data. We are getting very solid results and signals.
Since PagerDuty Operations Cloud has all the data and provides forward-looking resolution steps and information about which team was involved, PagerDuty AI helps us tremendously.
We definitely do not have any revenue loss since we are getting accurate signals and alerts and have a solution for all configured alerts.
Since it has all advanced features integrated with AI, I am really impressed with the ability to integrate with numerous monitoring tools very easily and the ease of onboarding any member to PagerDuty Operations Cloud. Setting up the alerts and everything is very easy with a number of monitoring tools. That is why I rated this product a nine out of ten. There is no other tool that can match PagerDuty Operations Cloud right now.
We have a number of layers in terms of governance and security since we are a payment gateway. PagerDuty Operations Cloud has its own governance and security at a great level, so we do not need to think about any security concerns from PagerDuty Operations Cloud governance.
Since it already has AI features, I am going to recommend others to use PagerDuty Operations Cloud. I rate this solution a nine out of ten.
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)