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Reviews from AWS customer

9 AWS reviews

External reviews

922 reviews
from and

External reviews are not included in the AWS star rating for the product.


    Sachin Mohanty

Centralized alerts have reduced incident response time and now streamline SME on-call collaboration

  • March 04, 2026
  • Review provided by PeerSpot

What is our primary use case?

In my organization, we use PagerDuty Operations Cloud to acknowledge alerts. PagerDuty Operations Cloud is organized so that it is often used to page the SMEs. Whenever we work on any tasks and face critical situations where we are unable to troubleshoot from our end, we page for the SMEs. Irrespective of the team, if it is infra-related issues, we page to infra. If it is related to some other product, we page to that product's SMEs and involve them into a PagerDuty Operations Cloud call. We inform them regarding the issues, and then they acknowledge the alerts. After acknowledging the alerts, they start working on that particular error.

PagerDuty Operations Cloud is also organized so that if there is any critical issue, it will create an alert that will go in a particular notification form to the SME with a phone call, stating that there is a critical issue which is in progress. The particular SME will acknowledge the alert and come and join the call, mentioning that they have been paged for this issue. Then we will start working with that particular team to resolve the issue from our end.

Regarding the incident command system, we use the Freshservice tool. Freshservice and PagerDuty Operations Cloud have been synced in my organization. The incident command system is a structured way for major incidents. Whenever there would be any outage, in order to proceed with the communication flow, we use the incident command system in PagerDuty Operations Cloud. Everyone will jump into a call, and then multiple people will start fixing the issues. Everyone will be working hard to bring that instance back online or to restore that particular environment.

What is most valuable?

The best feature that I like about PagerDuty Operations Cloud is whenever we page a particular team. There is a specific feature where we can directly page a person. Usually, once we trigger the alert, it goes to a particular person, and if that person does not acknowledge it, then it will go to their reporting person. Even if they also do not acknowledge it, then it will go to some other person. In that case, it tends to take a bit of time because whenever we see the alerts, the alerts will be shifting to other people. Some people might not acknowledge the alerts due to various reasons, and it may get missed. In PagerDuty Operations Cloud, there is a specific feature where we can page a specific person or a specific user. If we give the particular team name, then in the subfield, we can specifically page a person. This feature attracts me a lot.

Additionally, there is another feature where we can check the SME calendar. In my organization, for a particular week, one person will be allotted as an SME. That calendar shows which person is the SME for the particular week regarding the particular product. These are the features I enjoy the most in PagerDuty Operations Cloud.

The main benefits I can say from using PagerDuty Operations Cloud are that we can easily page them. It is also widely used in our operations team for faster incident response, leading to a reduction of the MTTR, mean time to resolution. The smart on-call management allows us to create a call for the on-call people and to involve the backup engineers as well. One special thing in PagerDuty Operations Cloud is it has time zone-based scheduling. As per that particular time zone, we can schedule them. I witnessed automated escalation, where the particular person missed acknowledging the alert in PagerDuty Operations Cloud, leading to an automated escalation to their associate director or VP. This escalation policy is also very good in PagerDuty Operations Cloud.

The impact of integrating PagerDuty Operations Cloud with Freshservice is very good because earlier, when it was not integrated, there were many problems while paging the alerts. Now, when we have integrated it to Freshservice, once the alert comes into the queue of Freshservice, automatically a PagerDuty Operations Cloud alert will be created. So automatically, it syncs. Once it gets synced, the alert will be automatically created in PagerDuty Operations Cloud and will go to that particular person who is allotted as an SME for that particular product.

The measurable benefits from PagerDuty Operations Cloud are that it has made our work easier, where the alerts will be synced and then directly create an alert to the SMEs. Instead of doing it manually, if it is automated in such a way that an alert gets triggered and routed directly to the SME, then that is a great benefit.

What needs improvement?

To improve PagerDuty Operations Cloud, I can mention that we can improve the escalation policies. Nowadays, many people miss the alerts. There was an issue in a particular product, and when we paged it, that particular paged alert went to other product people. I do not know how that happened in PagerDuty Operations Cloud; it might be some configuration changes or anything in the backend. The point is we can improve on this setting, where the actual PagerDuty Operations Cloud alert should be routed and assigned to the correct person of that particular product. If it gets triggered to some other person unnecessarily, even that day, the particular person came into the Slack channel asking why they got paged for a product they were not part of. This is something we can improve on.

One feature I would like to see included in PagerDuty Operations Cloud is for a particular week, each person is assigned as an SME. It would be beneficial to add a note in the particular calendar where if this person is not available, then the backup engineer's name can be included.

For how long have I used the solution?

I have been working with PagerDuty Operations Cloud for four and a half years.

What do I think about the stability of the solution?

We have not used the real-time digital operations management feature. The advanced analytics feature is being used by another product in my cloud operations team. In my team, we have not used it.

How are customer service and support?

Regarding customer service and technical support teams of PagerDuty Operations Cloud, we never reached out to the technical support team. In my team, the technical support will handle the cloud-based platforms and everything. However, regarding PagerDuty Operations Cloud, in my organization, we do not have any technical team related to it.

How would you rate customer service and support?

Which solution did I use previously and why did I switch?

Prior to PagerDuty Operations Cloud, I have not seen any product of the same kind in my company. We do use PagerDuty Operations Cloud and also New Relic. A similar application, I have not seen before.

How was the initial setup?

I have not found any complexity in the initial setup process of PagerDuty Operations Cloud. The deployment was already pre-deployed.

Which other solutions did I evaluate?

I have not come across any other options or solutions available in the market. I am not sure if the on-call policy in Splunk is similar to PagerDuty Operations Cloud.

What other advice do I have?

We have integrated PagerDuty Operations Cloud with the Freshservice tool. Regarding automation in PagerDuty Operations Cloud, in my team, the admin access has been given to the onshore employees, not to Indian employees. I am not sure about that because I have been requesting admin access for a long time, but I have not been granted it yet. Given my experience with PagerDuty Operations Cloud, I recommend increasing the on-call primary escalation time to ten minutes. Additionally, for one hundred alerts, if we can manage that to one particular incident for one hundred alerts, that would also be beneficial. This adjustment will help with the mean time to resolution in all organizations. My overall rating for this product is ten out of ten.


    Aashish Bhandari

On-call automation has transformed alert handling and now creates a faster, competitive workflow

  • March 03, 2026
  • Review from a verified AWS customer

What is our primary use case?

My use case for PagerDuty Operations Cloud is from the SRE and DevOps team. We use PagerDuty Operations Cloud for specific alerting purposes and for the pipeline process. When we build a pipeline and it suddenly fails due to some job and issues, we receive an error. We set up PagerDuty Operations Cloud with our monitoring services, which we are currently using, Datadog. Datadog is connected with PagerDuty Operations Cloud, and whenever Datadog receives an alert or a spike or anything critical, it will trigger an alert to PagerDuty Operations Cloud, and we quickly get a notification. We are currently using this process, and we are also maintaining our on-shift call rotation. For example, on Monday, Wednesday, and Friday, I am working as a shift lead, and then on Tuesday, Saturday, and Sunday, someone else is the shift lead. Regarding MTTR and all those statistics, we can see how many alerts we received, how many alerts we acknowledged this month, and we have a timeline as well. One of the valuable parts of PagerDuty Operations Cloud is that in our team, we can have a competitive environment. For example, if I resolved the most alerts triggered and resolved this month, then someone else can do it next month, and whoever resolves the most critical alerts on time receives appreciation every month.

What is most valuable?

One feature of PagerDuty Operations Cloud that I find valuable is the on-call schedule. We can manage our on-call scheduling, and we have various alert and notification delivery methods available, including mobile. We can receive phone calls, emails, SMS, and push notifications. For example, if someone missed the notification, they will get a phone call, which is very straightforward. We also have incident automation, making collaboration with any third-party monitoring services we use very straightforward, such as Datadog. We can seamlessly automate things with PagerDuty Operations Cloud. The AI features are also beneficial; for example, noisy alerts that trigger regularly and false positive alerts get suppressed. It checks the past month's alerts, showing us that this alert triggered 60 percent, this alert triggered 20 percent, this alert is rare, and this alert is not rare. The escalation policy is excellent as well, as if I did not pick up the call, my manager will get the call; if my manager did not pick up, then his manager gets the call. These are some of the most valuable parts we use in PagerDuty Operations Cloud.

In Datadog, we have multiple dashboards and monitoring systems where we see our spikes and alerts. When we integrated with PagerDuty Operations Cloud, we got better signal and less noise. When we are seeing a spike that is concurrent, in PagerDuty Operations Cloud, the AI feature already signifies that alert as a noisy alert, and it suppresses that alert. This significantly improves our workflow with both Datadog and PagerDuty Operations Cloud. We have faster response and faster escalation. Previously, in Datadog, we did not get notifications, and people would refresh it and check the spike every hour. Now that we integrated PagerDuty Operations Cloud, any alert triggers, and we quickly get a notification or a phone call. Therefore, we do not sit in front of a computer and refresh repeatedly. Additionally, we have a centralized incident workflow; PagerDuty Operations Cloud and Datadog feed into PagerDuty Operations Cloud incident timeline, so we see everything there. We do not need to open Datadog again and again, and if we need to deep dive into an alert from Datadog, we can click the link inside PagerDuty Operations Cloud, redirecting us to the Datadog dashboard where everything is noted down and visible.

In PagerDuty Operations Cloud, AI suppressing our alerts has helped streamline repetitive tasks. For example, very noisy alerts get suppressed automatically, aiding smarter routing. When we have new joiners in our team, they see alerts already suppressed, allowing them to focus on the critical ones instead of the lower ones. Additionally, alert prioritization is present; we receive critical alerts, high alerts, and then low alerts. The faster prioritization facilitated by AI enhances our alert management processes. Also, the root cause historical pattern assists us; if we get an alert similar to one from last month, it tells us how we resolved that alert previously. Historical patterns using AI greatly aid us in alert management.

What needs improvement?

I have already used PagerDuty Operations Cloud, and my previous monitoring tools were very poor for alerting. I had a good impression of PagerDuty Operations Cloud, but I believe it can improve with deeper root cause insights. I know there is automation to detect recent deployments causing incidents, but a deeper root cause analysis could provide more details. If PagerDuty Operations Cloud offers more information, we will not need to jump into the main dashboards where the alert triggered. For instance, if we get more insights directly in PagerDuty Operations Cloud, we would not need to check the Datadog dashboard. Additionally, I think a sandbox mode would be helpful for new team members, allowing us to guide them in simulating alerts, performing escalation policies, and creating PagerDuty Operations Cloud channels.

For how long have I used the solution?

I have been working with PagerDuty Operations Cloud for five years. I worked on two different projects, and in both projects, we use PagerDuty Operations Cloud.

What do I think about the stability of the solution?

In my previous project, we utilized the flexible incident command system to coordinate large-scale incidents, but in my current project with only Datadog, we have not received many alerts or incidents in the last couple of days.

How are customer service and support?

I do not have direct contact with PagerDuty Operations Cloud tech support or customer service teams, but my senior team members have connected with them when we received an alert related to our team failing to set it up properly. The customer support team promptly gave us insight and helped us within 24 hours.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

I am currently working with PagerDuty Operations Cloud. Previously, on my previous project, we were on BigPanda, but we faced multiple issues during BigPanda. At that time, there was no call schedule feature, and there was no alert triggered feature for BigPanda. We then moved it to PagerDuty Operations Cloud, and suddenly everything was smooth. We got a phone app as well; we set up PagerDuty Operations Cloud on the phone as well. Whenever any alert triggered for us, we used to quickly check from our phone to see if it was a false positive, a true P1, P2 alert, a major alert, or a critical alert. We then quickly jump into the alert and work on it. PagerDuty Operations Cloud changed the process and the flow in our team very smoothly.

How was the initial setup?

I found the initial setup of PagerDuty Operations Cloud straightforward; I did not face any complexities during the setup for alerts or during the initial configuration.

What's my experience with pricing, setup cost, and licensing?

Regarding pricing for PagerDuty Operations Cloud, I am currently a software engineer and a senior software engineer, so I do not handle the pricing aspect. However, I hear from my manager that the pricing is very high for PagerDuty Operations Cloud, and only a few of us have the main business tier accounts. Many of us have low tier accounts that restrict us to acknowledging and viewing alerts, while a few have the ability to create and trigger alerts. Therefore, I do not think much about pricing, but I do believe it is somewhat high. However, I think this is valid because PagerDuty Operations Cloud provides a vast amount of benefits compared to other alerting systems.

Which other solutions did I evaluate?

Regarding the key differences, pros and cons of PagerDuty Operations Cloud compared to competitors, some pros include alert grouping, AI functionality, and the ability to easily integrate with Slack for quicker resolution. Additionally, we receive phone notifications and push notifications, which many of the other competitors do not provide. The pricing of PagerDuty Operations Cloud is also reasonable for the functionalities it offers compared to its competitors. These are some benefits I see in PagerDuty Operations Cloud, including helpful alert insights and direct links to dashboards we have integrated, such as Datadog and Grafana, which allow us to resolve issues quickly.

What other advice do I have?

The recommendation I share, based on my experience with PagerDuty Operations Cloud, is that it is one of the best platforms for synchronizing with your monitoring tools. It will improve your flow, and your team will definitely benefit from PagerDuty Operations Cloud compared to other competitors, as it offers numerous advantages. I give this review a rating of ten out of ten.


    reviewer2804718

Alert handling has improved and monitoring now supports faster false positive resolution

  • February 23, 2026
  • Review from a verified AWS customer

What is our primary use case?

PagerDuty Operations Cloud is used to understand whether there are false positives or false alerts because it is integrated into a system where there would be a phone number, such as anyone from the team's phone number or perhaps the shift supervisor's phone number. Once those triggers are there, it would hit that number until somebody picks it up and acknowledges or escalates the alert or threat.

In a recent incident through PagerDuty Operations Cloud, there was one issue with one appliance that was continuously going wrong. Even if we were acknowledging it and closing it and had denoted it as a false positive and a false trigger or false alarm, it was still continuously hitting us. There was some issue with the appliance or some issue with the server. Once we understood that, we escalated this to the company's SecOps team, and they had to go inside to find out more details. PagerDuty Operations Cloud team was coordinated with them. Once they were coordinated, they could dig in deep and find out what the issue was. A high-priority P1 ticket was raised for that as per ITIL principles.

PagerDuty Operations Cloud was being used inside the office only, and if we enter anybody's number, for example, it would continuously be hitting at any time whenever the alerts are there. Whoever's numbers are added, such as a shift supervisor or shift people, those would keep on hitting back.

What is most valuable?

The best features that PagerDuty Operations Cloud offers are that it is user-friendly, the design is scalable, and it is quite easy to use for a newbie as well. Logging into the alerts as well as logging into any details are easy over PagerDuty Operations Cloud.

It is user-friendly because it does not need any sort of coding or any sort of scripting language to be filled in. It can just operate with mouse clicks. We need to know how to operate it, when to close, when not to close, and how to read green, yellow, red, and blue monitors or markers as per the monitoring.

It is easy to use, and I think the software also comes at a very low budget or low cost, which is very cost-effective and cost-friendly as well, rather than its alternatives. It benefits in every way, in network security, in cybersecurity, and overall company data monitoring and firewall as well.

I do not have any specific numbers because those will not be shared with us. This is confidential information. The response time is great, and after using PagerDuty Operations Cloud, false positives and false alarms, as well as security monitoring, were very strongly done.

What needs improvement?

PagerDuty Operations Cloud can be improved by adding more features. Whatever manual work is there could be automated using scripting. Then it would be more efficient.

When we receive a call, it has to be entered all the way. If one thing had been entered, then multiple things need not have to be entered multiple times. It does not need to be entered repeatedly. It could be automated in that way.

For how long have I used the solution?

In my current field, I have been working almost eight to nine 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?

I rate its scalability a ten out of ten.

How are customer service and support?

Customer support is good.

How would you rate customer service and support?

Which solution did I use previously and why did I switch?

No other options were evaluated because this is the only thing we started our work with. I am not aware of what other companies use.

What was our ROI?

Money would be saved because it is a tool that, if automated, can do a lot of work for the employees that would otherwise be manual tasking. Thereby, it would save both money and time.

What other advice do I have?

I can give the advice that anyone can surely go ahead with this product because it would be a win-win situation for both PagerDuty Operations Cloud as well as the company that is using it. I have rated this product a nine 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?


    Accounting

Reliable Scheduling and App, but Needs More Integration Flexibility

  • January 12, 2026
  • Review provided by G2

What do you like best about the product?
The on-call scheduling and the mobile app are the standout features. The scheduling engine is incredibly robust—handling complex rotations, follow-the-sun models, and last-minute overrides is seamless once the logic is set up. The mobile app is equally impressive; it’s intuitive, reliable, and allows for quick triage or acknowledgement of incidents without needing to open a laptop. It really nails the "responder experience" by putting critical actions front and center.
What do you dislike about the product?
I find the API and Slack integrations to be too rigid. While the Slack integration works well for basic "ack/resolve" actions, it lacks the flexibility to customize the actual alert content or the wording of messages sent to channels. Similarly, the API often feels restricted when trying to build more complex, automated workflows or custom internal tooling. I’d like to see more "hooks" for customization so the integrations can better fit our specific team processes rather than forcing us into a standardized format.
What problems is the product solving and how is that benefiting you?
PagerDuty solves the problem of "alert noise" and accountability. Before using it, critical alerts would often get buried in a Slack channel or a shared inbox, leading to slow response times. By centralizing our alerting and using escalation policies, it ensures the right person is notified via the right channel (push, SMS, or call) until the issue is acknowledged.


    Nambi Srinivasan

Automated incident workflows have transformed on-call operations and improved response times

  • January 07, 2026
  • Review from a verified AWS customer

What is our primary use case?

I have been working in my current field for over seven years as a DevOps and site reliability engineer, and my primary experience involves managing the reliability of infrastructure platforms hosted in multi-cloud and on-premises environments. I have predominantly worked with systems hosted in AWS services, setting up infrastructure, CI/CD, observability, and completely establishing the release process where I utilize PagerDuty Operations Cloud for triage and other SRE operations.

I have been using PagerDuty Operations Cloud for over four years, and I have utilized it in multiple ways. One involves using PagerDuty Operations Cloud through enterprise services via a subscription model, and I have also used it in a project at Intel where I utilized PagerDuty Operations Cloud from AWS for approximately one to one and a half years. After that period, I have been using it as a subscription currently at IBM.

One of the main use cases for PagerDuty Operations Cloud involves handling the operation center, particularly concerning incident resolutions and triaging different incidents as part of the score platform engineering team within a central IBM cloud where various IBM cloud services are hosted. To ensure continuous reliability, automated incidents are created in PagerDuty Operations Cloud and incident management automation is heavily utilized as part of the project. Previously, I worked on integrating PagerDuty Operations Cloud with default AWS services to create incidents for different AWS services as part of the host infrastructure at Intel. Currently, I am creating different incident workflows within IBM internal cloud operations to ensure an effective incident management process, utilizing integrations with different LLMs as part of incident management, along with agentic SRE tasks that have arisen in the project.

Since I am part of a larger platform engineering team and SRE operations team, there are many incidents and services that my team handles. I handle over 26 IBM cloud score services hosted in our internal platform, where there have been many incidents related to service downtime, reliability issues, and update issues. A dedicated SRE team handles end-to-end incident management, and we wanted to automate the incident management process, especially since we receive hundreds of incidents per day, up to thousands of incidents during critical release times of different services. Thus, the manual on-call process has been automated through utilizing PagerDuty Operations Cloud.

What is most valuable?

One of the features I find valuable in PagerDuty Operations Cloud, which is part of our current migration activities, involves automating the entire incident management process by integrating all service incidents into a single incident management page. In IBM cloud, since many services and incidents occur, I utilize the runbook automation feature where I create runbooks for each service and common issues that facilitate incident management for common incidents.

The runbook automation positively impacts my team's workflow by significantly speeding up the incident resolution process. In IBM cloud, we have different services hosted such as IBM Schematics and IBM Kubernetes Service, with thousands of concurrent global users. We face several issues during multiple incidents, particularly in reliability and infrastructure side issues. Basic level zero incidents often require simple commands run in kubectl. Therefore, I created runbooks to address these common issues, allowing SRE team members to refer to the runbook and manually fix the issues. However, before using PagerDuty Operations Cloud's runbook automation, it took over 20 minutes to resolve these issues. After implementing PagerDuty Operations Cloud's runbook automation, I have reduced the response time from over 20 minutes to less than two minutes, saving approximately 80 to 90 percent of the time and making mean time to resolve significantly faster. I review the runbooks quarterly to update them with any new steps necessary.

PagerDuty Operations Cloud has greatly improved our productivity. Previously, I handled many incidents with manual automation runbooks, leading to substantial toil for the SRE teams in resolving even minor incidents and complicating our on-call schedule. Once I adopted PagerDuty Operations Cloud and heavily utilized the runbook automation, I provided a list of common incidents to PagerDuty Operations Cloud, which then did the heavy lifting in fixing basic incidents automatically. This allowed my team to focus more on development activities related to platform engineering. Overall, it has reduced our toil by at least 50 to 60 percent and improved our efficiency, enabling us to onboard more services. We increased from onboarding seven core IBM cloud services to over 28 services now hosted.

The expansion of services impacts our organization's goals and customer experience by allowing all IBM cloud internal services to be hosted on a dedicated platform engineering service called Rednote. Before using PagerDuty Operations Cloud, I utilized Nagios and Sysdig, and after migrating to PagerDuty Operations Cloud last year, I prepared a set of runbooks, automating on-call schedules and incident management. This automation has led to a significant increase in incident closure rates from around 40 to 45 percent, improving efficiency and reducing manual toil for basic incidents by about 60 percent. This enables my team to focus more on development activities as basic incidents that can be managed through simpler runbooks are now handled automatically by PagerDuty Operations Cloud. Additionally, incorporating AIOps into our on-call scheduling and notifications helps it learn from previous incidents and proactively address issues. This scalability has allowed me to grow from handling four cloud services to 28 services, increasing from 200 to 300 customers to over 1800 plus customers, thanks to PagerDuty Operations Cloud.

What needs improvement?

Since I host our internal services, I want more customization relating to our specific use case.

The needed improvements include the configuration process, as new team members face a steep learning curve to understand the platform. With many new members, they need training to set up runbook workflows, event orchestration, and manage complex on-call schedules across 23 services, making it a challenge for new users. Additionally, I feel the web interface requires improvements.

I would rate PagerDuty Operations Cloud as eight out of ten because the cons include a complex configuration process and high costs for each add-on that I try to obtain, making subscriptions costly, along with limited customization in certain incident workflows.

The primary reasons for rating it an eight include the complex configuration which makes it challenging for new users, as well as their difficulty in setting up advanced runbook workflows and managing complex on-call setups. The web user interface also requires improvement. Although I receive alerts via the mobile app, which is beneficial for handling schedule maintenance, the same features should be added to the web interface. Customization issues persist, such as the inability to clone entire schedules as part of the workflows, and I want to keep incidents open for a specified duration, neither of which I can currently customize. Thus, I raised a ticket with PagerDuty Operations Cloud to address these concerns. Furthermore, the cost is high, making it one of the more expensive incident management solutions.

For how long have I used the solution?

I have been using PagerDuty Operations Cloud for over four years.

What do I think about the stability of the solution?

PagerDuty Operations Cloud is definitely stable, providing faster incident management and making managing our on-call roster easy along with effective escalation and notification channels.

What do I think about the scalability of the solution?

Regarding scalability, I do not find many issues. PagerDuty Operations Cloud effectively handles concurrent incidents, and incidents are fixed properly and on time.

How are customer service and support?

My interaction with PagerDuty Operations Cloud's customer support mainly focused on customizing our workflows. They understand our concerns and are willing to implement solutions that integrate into PagerDuty Operations Cloud effectively. From a reliability perspective, I have not faced any issues, and their support provides timely assistance for custom integration and workflows.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

Previously, I used RunDeck automation, which is why I switched to PagerDuty Operations Cloud after PagerDuty Operations Cloud acquired RunDeck.

How was the initial setup?

Before using PagerDuty Operations Cloud, I utilized Nagios and Sysdig, and after migrating to PagerDuty Operations Cloud last year, I prepared a set of runbooks, automating on-call schedules and incident management. This automation led to a significant increase in incident closure rates from around 40 to 45 percent, improving efficiency and reducing manual toil for basic incidents by about 60 percent.

What's my experience with pricing, setup cost, and licensing?

I purchased PagerDuty Operations Cloud through AWS Marketplace while at Intel, and my experience has been positive regarding pricing, setup costs, and licensing. I had around seven users part of it for a base pricing of around $450 per user, primarily for custom workflows and the ITSM part. Currently, I am utilizing the runbook automation part, which costs around $2000 per year, and in the last three months, I have also used the AIOps feature for approximately $700 to $800 per month, resulting in a cumulative cost of around $3000 per month.

Which other solutions did I evaluate?

Before choosing PagerDuty Operations Cloud, I evaluated other options, particularly competitors such as ZenDuty due to cost effectiveness, but I favored PagerDuty Operations Cloud for its RunDeck features and automation capabilities for incident workflows, despite the required migration.

What other advice do I have?

Utilizing PagerDuty Operations Cloud allows me to save a significant amount of time, not only on routine incidents but also in focusing on onboarding additional services. This significantly aids me in spending less time on routine operational activities, quantified by the reduced personnel needed to manage routine tasks.

I highly recommend using PagerDuty Operations Cloud if you have numerous operational incidents to handle daily, especially if you prioritize reliability, particularly in critical projects such as IBM's core cloud services where outages must be avoided to ensure compliance and reliability.

I urge potential users to adopt PagerDuty Operations Cloud if reliability is a priority and they have a sufficient budget, as it is suited for larger infrastructures and effectively manages redundant incidents, standing out as the number one option in its market segment. I have rated PagerDuty Operations Cloud as eight out of ten overall.

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)


    Prasanth K.

PagerDuty: Powering Global Incident Response and Business Continuity at Scale

  • January 05, 2026
  • Review provided by G2

What do you like best about the product?
1.Our infrastructure foor print caters across AWS, Datadog, New Relic, and other tools. We used to have trouble monitoring all the application under different dashboards and with teams across th globe, this used to be very challenging.

2.PagerDuty has seamless integration with all the above services including Teams and Slack channels, enabled us a single point of source monitoring(dashboards) and response(its auomtaion capabilities) across 40+ accounts and 50+ microservices.

3.Its automated and priority-based notifications (emails, calls, messages) and dynamic on-call scheduling capabilities giving the option to notify the the right teams based on the service and ensure response instantly (Acknowledging via Phone call, message & email), reducing MTTR for critical services. All this can be done via Mobile App is an added advantage.

4.Its Built-in options for conference bridges for each service, configuring issue resolution guides, automation (Rundeck) to run primary health checks, service graphs enable global teams to troubleshoot together in real time, ensuring business continuity 24/7 which is priority for our business every single day.

5.Dashboards provide leadership with a clear view of service health, issue trends, and performance metrics, driving informed decisions and proactive improvements.

6. Learnign wise, Pagerduty university has lof of content to learn and certify. I have done Pagerduty Incident Responder course a7 certification for free.
What do you dislike about the product?
Automation tasks can be challenging sometimes, since we need to provide some manual input for certain services and thats how our design is.

While alerting is highly commendable, it often triggers too many notifications based on false alerts. We should have some solution in place to limit in certain amount of time. It all needs to be closed manually more often.

I really miss "Quick templates" feature where most of the toold provide. Since we need to configure everything from scratch, it does took us a lot of time (for new teams it will be challending). We should have something like starter kit to get going from Day-1.
What problems is the product solving and how is that benefiting you?
PagerDuty serves as a single platform that integrates seamlessly with our tech stack—including AWS, New Relic, and Datadog—and delivers alerts through multiple channels such as the PagerDuty app, email, phone calls, SMS, Slack, and Teams. With teams distributed across globally (24/7), PagerDuty takes on the heavy lifting of managing these services & infrastructure under one hood and ensures the right teams are notified in real time seamlessly which is very crucial for our business.

Escalation policies have been instrumental in ensuring accountability from the responsible teams, helping us maintain high SLAs and ultimately driving overall customer satisfaction over the years. Its realy easy to configure bridges per service and manage on call schedules enable us give information about who to enagage.

Rather than having data from different dashboards from each platform, PD made it easy for us to present a single dashboard that covers overall impact, system health and issu patterns to higher management.


    Yousef Almomani

Real-time monitoring has reduced downtime and ensures failed jobs are resolved quickly

  • December 17, 2025
  • Review from a verified AWS customer

What is our primary use case?

We receive a notification if there are any failed jobs or operations. We have some Bamboo agents working, so if one of the jobs fails on one of these servers, PagerDuty Operations Cloud creates an incident and notifies us. We use PagerDuty Operations Cloud for monitoring purposes, and it works great for our current needs.

What is most valuable?

The best features PagerDuty Operations Cloud offers include quick access to failed jobs and the ability to add descriptions about the failed job. The quick access allows us to rapidly identify which job or operation has failed because it sends the job name or the operation name that has failed.

I have heard that integration between our systems and PagerDuty Operations Cloud was easy to implement. For efficiency, we can monitor our deployment process in real time. For incident response, PagerDuty Operations Cloud creates alarms that make calls to the specific person who can handle these issues.

We have fewer missed incidents because it keeps calling regarding the incidents until they are resolved. We have also reduced downtime because we notice errors and failed jobs, and we work to fix them.

What needs improvement?

The system is very smooth right now.

For how long have I used the solution?

We have been using the solution for about one year.

What do I think about the stability of the solution?

We have not experienced any stability issues.

What do I think about the scalability of the solution?

We have not experienced any scalability issues.

How are customer service and support?

We did not try to reach out to customer service because we did not face any issues.

How would you rate customer service and support?

Which solution did I use previously and why did I switch?

I prefer not to use previous solutions.

How was the initial setup?

I joined the team after they had already purchased and configured PagerDuty Operations Cloud, so I did not have knowledge about the setup process.

What about the implementation team?

I do not have any experience with the implementation team.

What was our ROI?

Time saved.

What's my experience with pricing, setup cost, and licensing?

There was no relationship between setup cost and other factors.

Which other solutions did I evaluate?

We did not consider alternate solutions.

What other advice do I have?

PagerDuty Operations Cloud is a great tool that saves time and is worth starting to use. I would rate this product nine out of ten because nothing is fully perfect. My overall review rating for this product is 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?


    Kkonovalov Kanavalev

On-call teams have reduced downtime and respond faster through integrated alerting workflows

  • December 15, 2025
  • Review from a verified AWS customer

What is our primary use case?

My main use case for PagerDuty Operations Cloud is monitoring and on-call management for downtime.

Recently, we had a service go down last week, and we were alerted via PagerDuty Operations Cloud of the issue. One of our on-call engineers responded to the page and quickly resolved the problem through PagerDuty Operations Cloud app.

What is most valuable?

The best features PagerDuty Operations Cloud offers include the ability to integrate its app through various platforms such as Teams and various monitoring platforms such as New Relic and DynaTrace. It is easy to use, easy to log in and configure your on-call rotation, as well as utilizing their business services and technical services to properly configure how you want things monitored and alerted.

The integrations and easy configuration help our team by saving time and reducing errors. We use Terraform to create various modules, including integrations with PagerDuty Operations Cloud and our monitoring platform, New Relic. When a team creates a new application, we ask them to use our monitoring module to monitor their service using New Relic and PagerDuty Operations Cloud. By doing that, we save time and errors by preventing people from manually having to set up their PagerDuty Operations Cloud operations; it is all done through this module, which is easy to use.

PagerDuty Operations Cloud has positively impacted our organization by allowing us to be immediately paged when a system or service is down, enabling us to quickly respond and provide updates to the organization on issues and their resolution.

This quick response has led to measurable improvements, with reduced downtime and faster incident resolution times, as our on-call engineers are appropriately alerted when things happen. We understand based on the page what is going on and how to quickly respond to it, and if we need help, we can loop in other engineers and our managers that own the product to resolve it quicker.

What needs improvement?

PagerDuty Operations Cloud can be improved by using automation or AI to advance the product in such a way that it allows the implementation of automation to resolve issues or speed up workflows.

For how long have I used the solution?

I have been using PagerDuty Operations Cloud for six 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?

Its scalability is impressive; it scales very well, allowing us to add licenses, add services, and more very quickly and easily.

How are customer service and support?

The customer support is great; we have never had an issue when reaching out to someone in customer service when we have questions.

How would you rate customer service and support?

Which solution did I use previously and why did I switch?

Previously, we were using New Relic for monitoring, which sent us alerts when issues went down, but we ended up using PagerDuty Operations Cloud alongside it because PagerDuty Operations Cloud is used for on-call alerting.

How was the initial setup?

Our experience with pricing, setup cost, and licensing has been straightforward and easy. We have been using PagerDuty Operations Cloud for several years, so our pricing and cost have definitely increased over time, especially as we have hired additional engineers. Adding additional users and/or licenses is very straightforward, and we have always had a good experience with customer service from PagerDuty Operations Cloud side.

What was our ROI?

The best return on investment comes from being alerted and paged for ongoing issues or new issues appropriately, allowing us to set up those schedules and engineers. The fact that PagerDuty Operations Cloud allows us to be alerted when things go down and configure how our engineers are alerted speaks to the return on investment due to the quick response it facilitates.

What's my experience with pricing, setup cost, and licensing?

Our experience with pricing, setup cost, and licensing has been straightforward and easy. We have been using PagerDuty Operations Cloud for several years, so our pricing and cost have definitely increased over time, especially as we have hired additional engineers. Adding additional users and/or licenses is very straightforward, and we have always had a good experience with customer service from PagerDuty Operations Cloud side.

Which other solutions did I evaluate?

I did not evaluate other options before choosing PagerDuty Operations Cloud.

What other advice do I have?

I recommend PagerDuty Operations Cloud as a great service and application to anyone that needs to improve their on-call process at their company. I gave this product a rating 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?


    Satish S.

Essential for Timely Alerts and Incident Response

  • December 14, 2025
  • Review provided by G2

What do you like best about the product?
I like PagerDuty because it ensures critical alerts reach the right people at the right time.
Its on-call scheduling and escalation policies help reduce downtime and respond to incidents quickly.
What do you dislike about the product?
PagerDuty can feel noisy at times, with too many alerts if rules aren’t tuned properly.
The interface and configuration can also be a bit complex for new users.
What problems is the product solving and how is that benefiting you?
PagerDuty solves the problem of delayed or missed incident alerts by ensuring the right person is notified immediately.
This helps reduce downtime, improves incident response, and gives better visibility into operational issues.


    Hempreet Singh

On-call automation has reduced downtime and has enabled faster incident response at scale

  • December 10, 2025
  • Review from a verified AWS customer

What is our primary use case?

PagerDuty Operations Cloud is a platform that helps teams manage incidents, automate operations, and ensure system reliability by bringing alerts, on-call schedules, and real-time responses into one place. When we had to push things into production, we set up PagerDuty schedules on a weekly or biweekly basis. If an issue occurred at night, a roster would pop up, and the respective engineer would have to handle that use case.

A specific incident where PagerDuty Operations Cloud helped my team was during the peak season in America when lakhs of orders were placed in December, and a major S1 severity production issue suddenly happened. If no monitoring tool had been in place, the company would have faced doomed circumstances, incurring lakhs of dollars in losses. PagerDuty came to our rescue at the last moment when nothing was happening. At 3:00 a.m. my time, I received a message and subsequently a call while sleeping, and I learned that this issue had occurred. I logged in quickly, promptly fixed that issue, and within an hour or so, the issue was resolved with minimal damage. I even received appreciation for my quick response.

PagerDuty Operations Cloud helps in similar situations because whenever some issue happens and we are not aware of it, PagerDuty comes with a flag telling us that there is an issue that needs to be fixed before it becomes a major problem.

What is most valuable?

Some of the best features PagerDuty Operations Cloud offers are comprehensive incident management, automation, and AI operations, all integrated into one platform. Second, it provides noise reduction and smarter alert grouping through global intelligent alert grouping that uses machine learning to group and correlate alerts across services. It also provides automation to reduce toil and speed up resolutions and artificial intelligence, including generative AI assistance, to help teams respond faster and smarter. Additionally, it has built-in workflows with standardized, repeatable processes, improved visibility, collaboration, and a unified operations view, and support for bridging customer-facing teams and engineering and the SRE teams. The last thing it provides is scalability for enterprise environments.

The AI-powered alert grouping and automation have made a difference in my day-to-day work by reducing alert noise. It automatically groups multiple related alerts into a single incident, so instead of 20 separate alerts, I get one meaningful alert, which prevents on-call engineers from being spammed. It also helps in faster root cause understanding because AI looks at patterns across systems including logs, metrics, alarms, and graphs, finally providing a broad summary about that. This cuts down the response time, helps in prioritization, and reduces the burnout of on-call teams.

PagerDuty Operations Cloud has positively impacted my organization by helping in faster incident detection and resolution with less downtime. It has reduced noise and fewer false alerts, allowing better focus for teams, meaning that on-call engineers can focus only on real and important issues rather than all the duplicate and negligible issues. It has helped with automation and efficiency, better collaboration and communication among teams, improved post-incident learning and prevention, and has not only helped in operational cost savings and better return on investment, but also in scalability and readiness for growth.

What needs improvement?

Even though PagerDuty Operations Cloud is a strong platform, many things can be improved. Analytic and reporting depth can be improved with better depth. Noise suppression and alert grouping robustness can be improved because sometimes the grouping becomes vague and somewhat unclear. Usability can improve, and user interface and user experience can improve because it becomes quite complex for new users. Integration and ecosystem limitations can be improved, as well as cost because for small or mid-sized organizations, it would become quite expensive to pay for this solution. Complexity for smaller teams or simpler needs can also improve.

I think we can have richer analytics, and the reporting dashboards can improve. More robust noise suppression can help us. Native support for alert attachment can help us. A simpler user interface and user experience can be implemented, and pricing tiers and models should be more favorable. Accessible documents and easier onboarding can help a lot.

For how long have I used the solution?

I have been using PagerDuty Operations Cloud since the first year of my job, and I have worked on four projects, using it in all of them.

What do I think about the stability of the solution?

PagerDuty Operations Cloud is one of the most stable platforms.

What do I think about the scalability of the solution?

The scalability of PagerDuty Operations Cloud is quite great. I have seen it scale in a very easy and robust manner.

PagerDuty Operations Cloud has met my needs as my team and workload have grown. The workload would definitely grow because since we are going online, production issues might happen, but PagerDuty has helped reduce that workload.

How are customer service and support?

I never faced an issue that would make me have to reach out to PagerDuty customer support because I think it worked fantastically. However, if that happens in the future, I would be happy to share my experience.

How would you rate customer service and support?

Which solution did I use previously and why did I switch?

This is my first company, and I have been working here since the beginning of my career, so PagerDuty Operations Cloud is the only solution I have worked with.

How was the initial setup?

Before using PagerDuty Operations Cloud, my team often took longer to identify the root cause of incidents because alerts were scattered across different tools. After moving to PagerDuty Operations Cloud, AI-powered alert grouping and automated flows have helped us detect issues much faster. We now mobilize the right team within minutes, and our overall incident resolution time has dropped significantly, which has directly reduced our downtime and improved service reliability.

What about the implementation team?

It was not a team-level decision whether my organization evaluated other options before choosing PagerDuty Operations Cloud.

What was our ROI?

Cost savings happened since losses were prevented. Time savings also occurred, response time reduced, and many such things happened which I have already mentioned.

What's my experience with pricing, setup cost, and licensing?

Pricing, setup cost, and licensing were not my headaches, and the organization already provided me with everything set up. I just had to log in and start using it.

Which other solutions did I evaluate?

I did not purchase PagerDuty Operations Cloud through the AWS Marketplace because it is an organization-wide decision, so my company would have done that.

What other advice do I have?

I would definitely recommend trying this solution. If you are thinking to go with production in the near future, definitely give it a try. If someone is trying to go to production and wants to have reduced service level agreements and reduced time for root cause analysis and everything, definitely give it a try. It is a tool that you should work with, and I rate this product a 10 out of 10.

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?