
PagerDuty Operations Cloud
Noise has dropped and incident workflows are now streamlined for reliable on-call response
What is our primary use case?
I use PagerDuty Operations Cloud mainly for on-call, paging, alerting, and also configuring alerts on automated systems. I have used event orchestration to automate toil from the incident management process with PagerDuty Operations Cloud.
How has it helped my organization?
We have had a significant drop in percentages regarding alerts within the organization. The noise reduction has been staggering, and it has made a huge impact. Using PagerDuty Operations Cloud AIOps, we were able to suppress a lot of noise.
What is most valuable?
What I appreciate about PagerDuty Operations Cloud is the ease of use; it is super easy to use, it is super configurable, and it is super reliable. I have never seen PagerDuty Operations Cloud service being down, ever, in the last five years of knowing it.
I have integrated PagerDuty Operations Cloud with Datadog, FireHydrant, and I have used their event orchestrator and AIOps tools extensively. They are pretty robust.
What needs improvement?
The UI of PagerDuty Operations Cloud is something I dislike. I have shared the feedback with their CPO directly. Their UI is kind of unstructured. They develop a lot of amazing features, but they have not quite figured out how to lay it out in a way in which customers can easily understand.
Another area for improvement is their definition of an alert and an incident being the same. They need to separate them out. They call alerts as incidents and incidents as alerts. It is interchangeable, and that is confusing because not every alert becomes an incident, but every incident has some alert. I have shared this feedback with them as well, but I would definitely repeat it because that is super confusing.
For how long have I used the solution?
I have been working with PagerDuty Operations Cloud for a little over five years.
What do I think about the stability of the solution?
I have never had issues with the stability of PagerDuty Operations Cloud. It is pretty rock-solid and stable.
What do I think about the scalability of the solution?
I do not have any concerns about scalability. We have had requests to them to scale and increase capacity, and they have done it in minutes. I have no concerns there as well.
How are customer service and support?
I have contacted PagerDuty Operations Cloud's tech support, and they are pretty good. Their customer service management team is pretty good. I have no concerns there. I would rate the support they provide at nine out of ten. They are pretty good. I have never had issues. There are some companies where you have a hard time even getting a hold of someone; that is not the case here.
Which solution did I use previously and why did I switch?
I have used alternatives including Xmatters, Opsgenie, FireHydrant, Signals, and I have tested Rootly and incident.io as well.
How was the initial setup?
I have not had any experience with the deployment of PagerDuty Operations Cloud. PagerDuty Operations Cloud is super easy to learn how to use. The challenge becomes that when it is super easy to use, it is hard to understand. The understanding, because of the UI and how unstructured it is, is hard to grasp, but once you understand it, it is super easy to use.
What's my experience with pricing, setup cost, and licensing?
I can speak about the pricing of PagerDuty Operations Cloud. I think most companies that are growing and scaling prefer client pricing on a seat basis, meaning how many licenses you are giving to how many seats or cost per seat. There are some companies that are charging costs based on the number of alerts, SMS, and voice calls going out, and that is a bad cost model to have because that kind of restricts your company to grow.
Which other solutions did I evaluate?
From the alternatives, I would definitely say FireHydrant Signals is really catching up. They have built a good product. Xmatters, which I have used, is super reliable too, but it is not necessarily that configurable. Rootly is building an amazing product, and so has incident.io. I would say a lot of them are upcoming and really good. But the one that I genuinely appreciate even now is PagerDuty Operations Cloud; they are really good. If I have to say the next one, I would say FireHydrant Signals. They have built a good product as well.
What other advice do I have?
In my current field overall, as an incident commander and incident manager, I have been working for 16 years. I have not used the AI agents from PagerDuty Operations Cloud yet, but it is on my list. It is relatively new; I think they launched it somewhere around April. I have not used it yet. Overall, I give PagerDuty Operations Cloud a rating of eight out of ten.
Centralized alerts have transformed incident response and now reduce downtime for our users
What is our primary use case?
PagerDuty Operations Cloud is used to monitor all applications and infrastructure health, manage incidents, and receive real-time alerts when any issue occurs on live projects. It helps our IT team quickly identify root causes and coordinate with the respective department, helping to reduce application downtime and maintain service reliability.
In one of our projects, we experienced a sudden increase in API response time that affected our customer. PagerDuty Operations Cloud helped alert the team and notified the on-call engineer or development team to coordinate the investigation. We identified the issue, resolved it, and quickly restored normal service so that the customer could continue their purchase, reducing our response time and minimizing the impact on users.
PagerDuty Operations Cloud helps us improve incident visibility and team collaboration by bringing alerts into a single place, allowing us to monitor all applications. We use it to prioritize critical issues and notify the right team members to track incidents until resolution. It helps us identify recurring problems and improve our incident response processes, ultimately reducing downtime and improving application reliability.
How has it helped my organization?
PagerDuty Operations Cloud improves our overall organization's incident response by helping us detect issues earlier and notify the right team members, enabling us to resolve incidents more efficiently and quickly. It reduced unnecessary alerts, improved collaboration between development and support teams, and provided better visibility into ongoing incidents. Overall, it helps minimize downtime, maintain application reliability, and deliver a better experience for our customers.
Since using this solution, our team has been able to respond to incidents more quickly, as alerts reach the right people without any delays or confusion. Alert grouping has reduced duplicate notifications, and centralized incident tracking has improved coordination. While we have not tracked the exact percentage, I observed almost fifty to sixty percent improvements, and we have seen a smoother troubleshooting process with less time spent identifying issues, helping us deliver better service for customers.
We use the AI automation capability to streamline incident response by routing alerts to the right team members, ensuring that if anyone is absent, it does not affect performance, reducing manual coordination. Intelligent alert grouping helps us focus on the main issues instead of handling duplicate notifications, making troubleshooting more efficient and improving team collaboration.
PagerDuty Operations Cloud's alert reduction features are very helpful for avoiding being overwhelmed by duplicate and low-priority notifications, allowing teams to focus on critical incidents sooner and improving troubleshooting efficiency, helping to prevent minor issues from escalating into major service disruptions. By reducing manual investigation and downtime, it also lowers operational costs and minimizes the impact on customers.
PagerDuty Operations Cloud's AI functionality helps our team focus on core development and problem-solving by reducing repetitive incident alerts and grouping related issues. Instead of manually reviewing every notification, we can prioritize important incidents and direct them to the right team members, saving investigation time, reducing distractions, and allowing developers to spend more time on future development, performance improvement, and other tasks while maintaining system reliability.
We use PagerDuty Operations Cloud to automate alert routing, escalation policies, and incident notifications, which reduces manual coordination during incidents. Alert grouping also helps us avoid investigating duplicate notifications individually, resulting in our team spending less time on routing incident handling and more time on development, preventative maintenance, and performance improvement. This has made our incident management workflow more organized and efficient.
What is most valuable?
PagerDuty Operations Cloud offers many best features that we use in our daily work, including real-time incident alerts, automated on-call scheduling, and intelligent alert grouping with the escalation policy. We appreciate how it centralizes incident management and helps our team collaborate during outages, making it easier to identify critical issues, notify the right people quickly, reduce alert noise, and minimize application downtime.
Intelligent alert grouping helps us avoid receiving multiple notifications for the same underlying issues, such as when an API slows down or triggers several alerts. PagerDuty Operations Cloud groups related alerts so that our team can focus on the root cause instead of investigating each notification separately. Centralized incident management keeps alert and incident details, ownership, and response updates in one place, making collaboration easier and helping our team resolve issues faster within a shorter time.
PagerDuty Operations Cloud's artificial intelligence capabilities are useful for identifying patterns, grouping related alerts, and helping teams respond to incidents faster. From a governance and security perspective, I value role-based access controls, audit trails, and clear data handling policies. I would also appreciate a transparent explanation of AI-generated recommendations and options for controlling how incident data is used so that our team can adopt AI while maintaining security and accountability.
The AI outputs are generally useful and reliable for identifying related alerts, highlighting incident patterns, and supporting troubleshooting. The recommendations provide a good starting point for quick investigations, but accuracy can depend on the quality of monitoring data and configuration. I believe keeping a human review in the loop for critical incidents is important to ensure decisions are based on actual system behavior.
What needs improvement?
PagerDuty Operations Cloud could be improved by simplifying the configuration of alert rules and escalation policies. We find incident analytics and the customization of dashboards challenging for new users, especially those not from the technical field. We would also appreciate flexible reporting to measure incident response performance to help us make timely decisions.
For how long have I used the solution?
What do I think about the stability of the solution?
We have experienced some stability issues.
What do I think about the scalability of the solution?
How are customer service and support?
Customer support is fabulous. I would rate customer support a ten.
What was our ROI?
We see a good return on investment, mainly as it saves time for our IT team, helps save resources, and improves user experience.
What's my experience with pricing, setup cost, and licensing?
The pricing cost is very affordable; the features justify the investment.
What other advice do I have?
I rate PagerDuty Operations Cloud a ten on a scale of one to ten. I chose ten for PagerDuty Operations Cloud because it is very useful, always helping to identify issues quickly and maintain the performance and reliability of all our applications without impacting the business. I always recommend PagerDuty Operations Cloud for monitoring all applications because if anything occurs on the website, it automatically alerts the right team and helps us troubleshoot issues quickly and effectively. My overall review rating for PagerDuty Operations Cloud is ten.
Reliable alerts have protected our small team’s website uptime and prevented client losses
What is our primary use case?
Our main use case for PagerDuty Operations Cloud is to get alerts if there's a bug on our website or if something crashes, and we fix it right away before any users or potential clients see it.
Recently, our forum page crashed due to some malware issues, and PagerDuty Operations Cloud informed us about it, allowing my backend engineers to fix it quickly.
We haven't completely deployed AI and automation through PagerDuty Operations Cloud for incident response yet, as we are still evaluating its effectiveness; we currently rely on our small team. We are still in the process of leveraging automation within PagerDuty Operations Cloud for incident management workflows.
What is most valuable?
The best features PagerDuty Operations Cloud offers are the alerting feature and the integration with Slack.
My team uses the Slack integration to receive responses, allowing us to discuss the issue on Slack itself, including the type of issue and whether it is high priority, medium priority, or low priority.
PagerDuty Operations Cloud has positively impacted our organization because, at this initial stage of launching, we can't afford to have our website crashing; we need a solution that ensures stability. Although we can't provide specific numbers, PagerDuty Operations Cloud has helped us minimize downtime, thus avoiding the loss of potential clients.
What needs improvement?
Regarding improvements, there are no major issues, but sometimes it shows low-priority bugs to the team at midnight; prioritizing these alerts would be beneficial so that the team is informed when logging in the next morning.
I chose nine out of ten because of the interface; being a small team, we need to watch many videos to understand how everything works.
For how long have I used the solution?
What do I think about the stability of the solution?
What do I think about the scalability of the solution?
How are customer service and support?
Which solution did I use previously and why did I switch?
How was the initial setup?
What was our ROI?
We have saved money due to a decrease in client losses.
What's my experience with pricing, setup cost, and licensing?
We have separately gone for PagerDuty Operations Cloud rather than purchasing it through the AWS Marketplace. My experience with pricing, setup cost, and licensing is that the price was great, but the licensing was a bit on the expensive side; however, we chose this solution because we found it to be the best in the market.
Which other solutions did I evaluate?
What other advice do I have?
I would rate PagerDuty Operations Cloud around nine out of ten. We haven't used the AI capabilities of PagerDuty Operations Cloud yet, so I can't comment on its governance and security.
I don't have any experience with its AI capabilities, so I can't speak to its accuracy and reliability of output. I can't say much about the impact of the alert reduction feature on preventing costly incidents. We haven't utilized the AI feature.
For others looking into using PagerDuty Operations Cloud, I would say it is a reliable solution with good incident response, especially for very small teams.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Real-time alerts have reduced user-facing errors and enable faster incident resolution
What is our primary use case?
My main use case for PagerDuty Operations Cloud is to monitor system events and catch errors quickly so that the team can fix the error before the user notices.
A week ago, I used PagerDuty Operations Cloud to receive a quick alert when an API failed on our dashboard page, causing some components to break, and we fixed it by using our debugging tools within a few minutes.
PagerDuty Operations Cloud gives quick feedback when a user action causes a problem on the screen.
How has it helped my organization?
PagerDuty Operations Cloud helps us find bugs much faster, which means our users see fewer broken pages and it removes the stress of waiting for customer complaints.
In the past, my team had to wait for customer support mail or calls, which would take hours for anyone to notice a broken screen, but now instant alerts and clear logs point us right to the problem the moment it happens.
I have less load because PagerDuty Operations Cloud's AI functionality hasn't been used much, allowing my team to focus more on core tasks rather than routine issues.
What is most valuable?
The best features PagerDuty Operations Cloud offers are the real-time alert and easy connection with the team messaging app, which ensures that everyone knows about the issue.
Real-time alerting and easy team messaging integration helps my team respond to incidents by providing instant alerts, ensuring the right person knows about the problem the second it happens.
Everything else about the features is quite good.
PagerDuty Operations Cloud is effective at quickly pointing out the right part of the code where the bug layouts occur.
We have set up some automated triggers through PagerDuty Operations Cloud that send notifications to our team chat whenever a user interface component breaks or an application error occurs.
What needs improvement?
The user interface of PagerDuty Operations Cloud could be simpler for a new team, especially with customized error notifications such as picking specific colors and icons for different types of front-end layout bugs.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud for a while.
What do I think about the stability of the solution?
PagerDuty Operations Cloud is stable; I haven't experienced any crashes.
What do I think about the scalability of the solution?
The scalability of PagerDuty Operations Cloud is effective, as I haven't experienced any issues with it.
How are customer service and support?
I have not used the customer support for PagerDuty Operations Cloud.
Which solution did I use previously and why did I switch?
Before using PagerDuty Operations Cloud, we were doing things manually and were not using any other solution.
Which other solutions did I evaluate?
I was not present to evaluate other options before choosing PagerDuty Operations Cloud.
What other advice do I have?
PagerDuty Operations Cloud helps find bugs much faster, but the user interface is slightly difficult for a new person to understand.
Regarding PagerDuty Operations Cloud's AI capabilities, I believe it follows strict industry rules, giving us peace of mind when handling user information, although we haven't used the artificial intelligence much.
PagerDuty Operations Cloud is hosted online, so my team does not need to install heavy software on our office computers.
I do not know which cloud provider is used for PagerDuty Operations Cloud because this is handled by the PagerDuty team.
The impact of the alert reduction feature is confidential.
We haven't used PagerDuty's generative AI for insights in decision-making; instead, we rely on our own human judgment.
My team has leveraged automation within PagerDuty Operations Cloud to optimize our incident management workflows, but specifics on the impact of this have been handled by higher authorities.
I rate PagerDuty Operations Cloud nine out of ten because it helps find bugs much faster, but I reduced one point because it is somewhat difficult for a new person to get acquainted with it.
I would recommend PagerDuty Operations Cloud as it is a good product.
Reliable Alerting and Clear Incident Escalations That Keep Teams Responsive
I also appreciate the overall user experience. The platform provides good visibility into incidents and helps teams collaborate during critical situations, which can significantly reduce response time and improve operational efficiency.
A more intuitive setup experience and clearer guidance for first-time users would make the platform easier to adopt.
For me, this improves visibility and response time during critical situations. It also reduces the need to manually monitor multiple sources for alerts and makes it easier for teams to collaborate, stay accountable, and resolve issues efficiently.