Sold by: PagerDuty
Deployed on AWS
The PagerDuty Operations Cloud is essential infrastructure for all unplanned, time-sensitive, critical work. It automatically detects and diagnoses disruptive events mobilizes the right team members to respond and automate infrastructure and workflows across your digital operations. This means you can resolve unplanned, unstructured, time-sensitive, and high-impact issues quickly - with fewer escalations to your technical teams while minimizing the impact on your customers and maintaining brand trust.
4.5
Overview
High customer expectations and increasingly distributed systems mean disruptions to digital service can have catastrophic effects on sales, brand loyalty, and operating costs. The PagerDuty Operations Cloud deflects unnecessary work from teams and subject matter experts so they can focus on delivering business value. Urgent work is escalated to the right teams and routine work is made self-service. Teams can automate and accelerate issue resolutions with minimal human interruption -and improve system resilience and team capacity while reducing the strain of operational complexity and the unexpected.
With more than 700 integrations, APIs, and apps for customer service, the PagerDuty Operations Cloud empowers rapid responses in any environment. And thanks to more than 10 years of data ingestion, its machine learning-powered AIOps functionality can reduce alert noise by up to 98% and drive down MTTR with critical context for faster triage and effective automation.
PagerDuty integrates with various AWS services, including AWS CloudWatch, Amazon GuardDuty, AWS CloudTrail, AWS Personal Health Dashboard, Amazon EventBridge, AWS Security Hub, Amazon DevOps Guru, AWS Control Tower, AWS Outposts, and AWS S3 Storage Lens.
AIOps PagerDuty AIOps helps teams reduce noise, triage efficiently to drive the right actions towards resolution, and remove manual, repetitive work from the incident response process. Noise reduction baked in with an ML model that learns and adapts based on user behavior means teams see fewer incidents overall. And automating toil from manual event processing results in greater efficiency, saving teams valuable time for innovating.
Process Automation PagerDuty Runbook Automation is a managed cloud service that enables DevOps teams and SREs to create and delegate operational tasks in automated runbooks to other stakeholders such as developers, NOC personnel, and incident responders. Runbook Automation provides automated workflows and task automation focused on IT and developer process automation. Examples include service provisioning, CI/CD, configuration management, incident diagnosis and remediation, and more. With PagerDuty Runbook Automation, you can resolve requests in minutes, rather than days, optimize security and compliance, and give your engineers more time to spend on innovation rather than firefighting.
Incident Response PagerDuty helps you save time and money by bringing together the right teams with the right information to resolve incidents faster. Replace manual processes with automation to streamline incident response, freeing up time and resources for more innovation. Orchestrate end-to-end incident response with a service ownership model that only brings in the teams you need. Over 21K organizations trust PagerDuty to help them adopt DevOps best practices and build more resilient operational practices to minimize costly downtime and protect the customer experience.
Custom Private Offer We can create a custom offer tailored to your needs. Please contact us at aws-sales@pagerduty.com
Highlights
- Incident Response - Manage incidents end-to-end
- Process Automation - Automate and delegate business and IT processes
- AIOps - Maximize IT capacity with fewer incidents and faster resolution
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Delivery method
Deployed on AWS
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Buyer guide
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Professional | On-call and incident response for growing teams | $252.00 |
Business | Streamlined incident response for the enterprise | $492.00 |
CustomerServProfessional | Bi-directional comms between CS & Dev, protect SLAs, & lower MTTR | $252.00 |
CustomerService Business | Bi-directional comms between CS & Dev, protect SLAs, & lower MTTR | $492.00 |
Runbook Automation | Automate manual procedures in runbooks | $1,500.00 |
Automation Actions | Add-on: Automate steps to diagnose & remediate incidents | $240.00 |
Live Call Routing | Add-on: For on-call schedules & escalations (by line) | $1,890.00 |
Runbook Auto Job Runner | Add-on: For Runbook Automation | $750.00 |
Stakeholder Users | Bundle of 50 Stakeholder users | $1,800.00 |
PagerDuty Status Pages | 1000 User Pack | $1,068.00 |
Dimension | Cost/unit |
|---|---|
Additional events over contracted value | $0.06 |
Dimensions summary
Pricing centers on per-user incident response plans. You pick Professional or Business based on the depth of workflow and admin features your team needs. CustomerServProfessional and CustomerService Business apply the same tiering to support-to-engineering coordination. Several dimensions are usage- or add-on-based: AIOps bills by annual events, with a separate charge for events over your contracted amount. Runbook Automation, Automation Actions, Live Call Routing, and Runbook Auto Job Runner add capabilities on top of a plan. Stakeholder Users sell in bundles of 50, and Status Pages sell in 1,000-user packs.
Top-of-mind questions for buyers
AIOps is licensed per accepted event. An accepted event is any valid event sent to and processed by PagerDuty with a successful 2xx response. Your contract covers up to 96,000 annual events. If you exceed that amount, the Additional events over contracted value dimension charges for the overflow.
Every person added to your PagerDuty account is a paid user. This includes anyone who receives notifications or appears in an on-call schedule. Read-only business stakeholders are handled separately through Stakeholder Users, which sell in bundles of 50.
No. You must first purchase at least one user on a Professional or Business incident response plan before you can add AIOps. Add-ons such as Automation Actions, Live Call Routing, and Runbook Auto Job Runner layer on top of a base plan rather than standing alone.
www.pagerduty.com
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Our team provides multiple resources for customers to find answers to questions and get help with our product. Users may browse our integration guides (pagerduty.com/integrations) to integrate with partner tools, our knowledge base (support.pagerduty.com) to learn more about using PagerDuty, and our developer docs (developer.pagerduty.com) to use our APIs. Additionally, anyone can interact with other PagerDuty users and PagerDuty employees via the PagerDuty Community (community.pagerduty.com). Our Support team is available during regular business hours around the globe, Monday through Friday, and can be contacted at: Email: support@pagerduty.com or via a ticket submitted at tickets.pagerduty.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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AI generated from product descriptions
Alert Noise Reduction
Machine learning-powered functionality that reduces alert noise by up to 98% through adaptive models based on user behavior patterns and 10+ years of data ingestion.
Incident Response Orchestration
End-to-end incident response orchestration with service ownership model that mobilizes appropriate team members and automates infrastructure workflows across digital operations.
Process Automation and Runbook Management
Managed cloud service enabling creation and delegation of automated operational tasks including service provisioning, CI/CD, configuration management, and incident diagnosis and remediation.
Multi-Platform Integration
Over 700 integrations, APIs, and applications supporting connectivity with AWS services including CloudWatch, GuardDuty, CloudTrail, EventBridge, Security Hub, DevOps Guru, Control Tower, Outposts, and S3 Storage Lens.
Mean Time to Resolution Acceleration
Critical context delivery for faster triage and effective automation to drive down MTTR with machine learning-powered AIOps functionality.
Unified Observability Platform
Comprehensive visibility across applications, infrastructure, logs, databases, networks, and digital experiences through a single-pane-of-glass interface
AIOps and Machine Learning
AIOps enhanced with machine learning capabilities to simplify management of distributed environments and automatically prioritize alerts to reduce alert fatigue
Automated Instrumentation and Dependency Mapping
Automated instrumentation with dependency mapping and service relationship views to identify multi-level relationships across services
Open-Source and Container Support
Support for open-source frameworks, container technologies, and third-party integrations for cloud-native environments
Rapid Deployment
Quick installation and easy configuration designed for rapid time to value with minimal setup complexity
AI-Powered Monitoring and Anomaly Detection
Cognitive AI engine automates issue classification, pattern detection, and anomaly identification across managed applications
Multi-Source Data Integration
Combines CloudWatch, CloudTrail logging, and fully configurable real-time metrics collection for comprehensive application monitoring
Automated Root Cause Analysis and Response
System provides root cause analysis, corrective action recommendations, and automated response actions integrated with ServiceNow, email, and Slack
Multi-Region Failover and Business Continuity
Supports multi-region deployment with automatic failover, failback coordination, and state monitoring across AWS regions
Application Topology and Automation Management
Enables definition of application topology views, task lists, notifications, and automation runbooks for resource management and reporting
Standard contract
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Customer reviews
Satvik Dumbre
Reliable alerts have protected our small team’s website uptime and prevented client losses
Reviewed on Oct 07, 2026
Review from a verified AWS customer
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?
I have been using PagerDuty Operations Cloud for three to four months.
What do I think about the stability of the solution?
PagerDuty Operations Cloud is very stable; I haven't experienced any crashes, especially since we've been using it for three months.
What do I think about the scalability of the solution?
The scalability of PagerDuty Operations Cloud is good; I have never found any issues related to crashing.
How are customer service and support?
I haven't used customer support, so I can't provide feedback on it. Since I haven't used customer support, I haven't rated it on a scale of one to ten.
Which solution did I use previously and why did I switch?
We haven't used any other solution before.
How was the initial setup?
PagerDuty Operations Cloud is deployed by the company itself, so we don't have to deploy it on our own; the version we are using is on the public cloud AWS.
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?
We evaluated other options before choosing PagerDuty Operations Cloud, but I don't remember their names.
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?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Adarsh-Singh
Real-time alerts have reduced user-facing errors and enable faster incident resolution
Reviewed on Oct 06, 2026
Review from a verified AWS customer
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.
Anuradha Dwivedi
Automation has protected our restaurant sites from traffic spikes and improved incident response
Reviewed on Sep 26, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for PagerDuty Operations Cloud is that we use it for the system to automatically send alerts to my team members so we can identify what is wrong with the websites or the apps that we are maintaining.
A specific example of when PagerDuty Operations Cloud helped my team catch an issue with our website occurred last month, when a sudden traffic spike impacted my client's database connection, so we had to fix the restaurant search page crash for our users. PagerDuty Operations Cloud helped us find the right error rate at that time and sent an emergency alert directly to the engineer, who fixed it quickly and restored the database server.
We also use PagerDuty Operations Cloud for continuous errors and prioritizing critical infrastructure.
What is most valuable?
The best features PagerDuty Operations Cloud offers are the automatic alerts system and the reporting dashboard.
Regarding what I appreciate about the automatic alerts and reporting, our engineers do not have to watch the screens all day because the system alerts when something is broken, and the reporting helps us. PagerDuty Operations Cloud has impacted my organization positively because before we had to investigate what the issue was, and now it works wonderfully.
What needs improvement?
Regarding how PagerDuty Operations Cloud can be improved, I believe everything is functioning correctly. However, for a smaller team, it is hard to configure everything, so if a greater manual were provided with the team size included, that would be beneficial.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud for four to five months.
What do I think about the stability of the solution?
PagerDuty Operations Cloud is very stable; I have not experienced any crashing or downtime.
What do I think about the scalability of the solution?
PagerDuty Operations Cloud has very good scalability. We are currently handling around seven US-based restaurant websites, and we have not experienced any scalability issues. Next week we will be onboarding one more website.
How are customer service and support?
I have not used customer support much.
Which solution did I use previously and why did I switch?
I did not previously use a different solution because we were doing things manually before this.
How was the initial setup?
My experience with pricing, setup cost, and licensing was quite positive.
What was our ROI?
I have seen a return on investment because in the first two months, due to some spike crashes, some clients used to end their contracts with us. However, now, because we are quite efficient with spike control, our monthly retainer has grown by 40 percent.
Which other solutions did I evaluate?
Before choosing PagerDuty Operations Cloud, we were considering one more solution, but I do not remember its name.
What other advice do I have?
Regarding PagerDuty Operations Cloud's security and governance, I believe it is very solid because I have never felt that my data is being compromised, and I have never experienced a faster problem-solving approach or anything to keep my client's website running smoothly.
Regarding PagerDuty Operations Cloud's AI capabilities, I believe we have not tested its AI capabilities and other advanced features yet because we are a smaller team. We have not implemented AI and automation through PagerDuty Operations Cloud for incident response, so I cannot say it has changed our operational efficiency.
My advice to others looking into using PagerDuty Operations Cloud is that it is a good product, and you can definitely switch from other products. However, if you are not handling US clients or cannot pay for PagerDuty Operations Cloud business cloud prices, then I would recommend going for a more affordable product in the market. I would rate this product nine out of ten.
Yuvashree Yuvashree
Intelligent incident automation has improved on-call routing and reduced downtime risks
Reviewed on Sep 21, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for PagerDuty Operations Cloud is integrating with ITOM, incident management, and also using PagerDuty for automation.
A quick specific example of how I use PagerDuty Operations Cloud for incident management is that I commonly use it for critical server down alerts for certain application performance issues, database capacity alerts, network device failures, etc.
In addition to that, for a network device failure when a core switch or a router goes offline, SolarWinds detects the node status is down alert. So whenever an alert is detected, PagerDuty Operations Cloud opens a P1 incident and relevant teams like the NOC team, network team, and incident management team get notified. They automatically get paged through PagerDuty Operations Cloud, and if the incident is not acknowledged, it gets escalated to the managers. This is the automation use case which I created for the network device failure alerts.
The feature I find myself using the most is the best use case from Datadog to PagerDuty Operations Cloud to the Linux team, which I have created. Datadog detects CPU memory or disk or service failure alerts for the Linux server, and PagerDuty Operations Cloud automatically creates the incident and notifies the Linux on-call engineer.
What is most valuable?
According to PagerDuty Operations Cloud, the best features offered are intelligent incident management, AI Ops and alert noise reduction, automation and runbook execution, cloud and hybrid infrastructure monitoring, ChatOps integration, AI-powered operations, service ownerships, and business visibility.
PagerDuty Operations Cloud has positively impacted my organization by reducing mean time to resolution, automatically routing incidents to the correct on-call engineers, reducing alert fatigue, whereas PagerDuty Operations Cloud AI Ops correlates duplicate and related alerts. It also provides 24/7 operational coverage, faster incident management, increased automation, better visibility and accountability, and improved knowledge management.
What needs improvement?
PagerDuty Operations Cloud can be improved by eliminating alert storms, automating common incident resolutions, improving major incident management, using AI for faster troubleshooting, and improving operational metrics.
I could add a feature to automate common incident resolution where engineers perform repetitive actions like restarting servers, clearing disk space, collecting logs, or running diagnostics.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud for almost six plus 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?
PagerDuty Operations Cloud is highly scalable and is desired for organizations ranging from small operation teams to larger enterprises managing thousands of services, responders, and alerts.
How are customer service and support?
PagerDuty's customer support is generally considered strong from enterprise customers, particularly those running mission-critical operations and requiring 24/7 incident management.
Which solution did I use previously and why did I switch?
Before adopting PagerDuty Operations Cloud, I primarily relied on monitoring platforms such as Datadog and SolarWinds and native cloud monitoring solutions for alert generation.
What was our ROI?
Organizations commonly see ROI from PagerDuty Operations Cloud in both time-saving and downtime reduction, especially when integrated with monitoring platforms and automation workflows.
What's my experience with pricing, setup cost, and licensing?
From my experience evaluating and implementing PagerDuty Operations Cloud for incident management and on-call operation, PagerDuty Operations Cloud offers tiered plans that cost varies based on features such as incident management, AI Ops, event orchestration, automation, and AI capabilities.
Which other solutions did I evaluate?
During the evaluation phase, I considered other incident management platforms such as ServiceNow, Opsgenie, etc., before selecting PagerDuty Operations Cloud.
What other advice do I have?
PagerDuty Operations Cloud helps my team focus on core tasks, which means it helps engineers spend less time on operations overhead and more time on engineering work.
My team has leveraged automation within PagerDuty Operations Cloud by integrating it with monitoring platforms such as Datadog, SolarWinds, and cloud monitoring tools to automate the end-to-end incident management process. Alerts are automatically correlated, routed through the appropriate on-call engineers, escalated when required, and tracked through resolution. The team also leverages automated runbooks and AI-assisted triage to reduce manual intervention during incidents.
PagerDuty Operations Cloud's alert reduction feature has significantly reduced the risk of costly outages in my organization by ensuring critical issues are identified, routed, and escalated to the appropriate responders in real-time. Automation, notifications, intelligent alert grouping, and escalation policies help prevent incidents from being overlooked, reducing downtime and business impact.
I use workflows to standardize the incident response process by automatically engaging the correct support teams, creating collaboration channels, notifying stakeholders, and tracking incidents through resolution. I have also utilized event orchestration to filter, enrich, suppress, and route alerts from monitoring tools such as Datadog and SolarWinds.
Organizations get the highest value from PagerDuty Operations Cloud when they use it for full operation platforms combining incident management, event orchestration, AI Ops, automation, governance, and service ownership.
Regarding governance and security, PagerDuty Operations Cloud provides strong controls that help the cloud operations team maintain compliance, accountability, and operational resilience.
For cloud operations, AI is valuable only if it is accurate, reliable, and actionable. PagerDuty Operations Cloud improves this through an AI-first operation platform, which is built on large-scale operational data, event correlation, and incident response workflows.
I rate this product a 10 out of 10.
Alexey Dubrovin
Centralized incident hub has improved real-time visibility and accelerated team response
Reviewed on Sep 21, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for PagerDuty Operations Cloud is to use it as a main hub to see incidents, to get proper responses to incidents, and to log resolutions and post-mortems.
A recent specific example of how I use PagerDuty Operations Cloud for incidents or post-mortems involves wanting global visibility of an incident to react. When something happens, such as an external provider of the data that we integrate with starts giving us an error on our call, we immediately see it on the PagerDuty dashboard and in our Slack channel alerts, and somebody from the Ops teams is also notified immediately on their phone. We then assign a responsible person, which can be someone from Ops, dev, or product, depending on the system that fails, and whoever is responsible starts resolving the incident. If it is critical, we react immediately; if it is not critical for revenue-generating streams, it may wait and be prioritized in the following sprints.
Everything is logged in PagerDuty, allowing all interested parties, such as product owners and top management, to track progress.
What is most valuable?
PagerDuty Operations Cloud integrates easily into our communication tools, such as Slack, which is super convenient. I get notified there and on my phone, allowing me to quickly click on the link, get to the dashboard, and see what is going on.
Instant notifications help reduce response times, as I do not need to always open the PagerDuty Operations Cloud portal. I see the incident in Slack and can quickly assess if I need to react. When I do, it is super easy to get the information I need.
PagerDuty Operations Cloud automates notifications about incidents, preventing overwhelm with different kinds of incidents.
PagerDuty Operations Cloud has impacted our organization positively by enabling faster reactions to incidents and providing greater visibility, as all parties that need to be notified are notified automatically, creating high visibility.
What needs improvement?
While configuring PagerDuty Operations Cloud with Ops, it was not super intuitive to figure out which fields to use to assign a responsible person and who is writing the post-mortem, but once everything was figured out, it works really well.
PagerDuty Operations Cloud can be improved by continuing to focus on user experiences. The initial setup can be streamlined better, as it feels overwhelming with many configurations and integrations, though once we got the hang of it, it became much easier to understand, and now the user experience for people such as me is absolutely great.
Integrations with external tools such as Tableau could be useful, as I have not explored that yet myself.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud at CARFAX Europe for maybe a year and a half to two years.
What do I think about the stability of the solution?
PagerDuty Operations Cloud is quite stable.
What do I think about the scalability of the solution?
I cannot judge PagerDuty Operations Cloud's scalability, but we are not growing rapidly. Our growth is pretty organic, with user count and services increasing by maybe 20 percent a year, and so far I have no complaints.
Which solution did I use previously and why did I switch?
We previously used a different solution, a pretty lightweight status page that was static, requiring us to visit a website for a list of services and their statuses, and manually check which service had issues, but I do not remember the name.
How was the initial setup?
Take your time to set it up properly.
What about the implementation team?
Since I was not involved in the configuration, I cannot really tell if the documentation is good or not, so I do not have any further comments.
What was our ROI?
Although I do not think we measured return on investment, we definitely saved time, and time is money, so I guess we saved some amount of money for sure.
What's my experience with pricing, setup cost, and licensing?
I was not dealing with pricing, setup cost, or licensing, as that was the responsibility of the Operations team in our company, so I cannot comment.
Which other solutions did I evaluate?
I think we evaluated other options before choosing PagerDuty Operations Cloud, but I was not a part of the evaluation.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)