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.

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.

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.

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

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.

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

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.

Positive

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

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.

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.

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.

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.

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.

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.

The system is very smooth right now.

We have been using the solution for about one year.

We have not experienced any stability issues.

We have not experienced any scalability issues.

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

I prefer not to use previous solutions.

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

I do not have any experience with the implementation team.

Time saved.

There was no relationship between setup cost and other factors.

We did not consider alternate solutions.

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.

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.

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.

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.

I have been using PagerDuty Operations Cloud for six years.

PagerDuty Operations Cloud is stable.

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

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

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

PagerDuty Operations Cloud is one of the most stable platforms.

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.

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.

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.

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.

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

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

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.

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.

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.