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
Get personalized pricing in minutes - New
If qualified, an express private offer gets you custom pricing and terms. Finalize your purchase in the AWS Marketplace console.
Details
Sold by
Delivery method
Deployed on AWS
Features and programs
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
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 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Our team provides multiple resources for customers to find answers to questions and get help with our product. Users may browse our integration guides (pagerduty.com/integrations) to integrate with partner tools, our knowledge base (support.pagerduty.com) to learn more about using PagerDuty, and our developer docs (developer.pagerduty.com) to use our APIs. Additionally, anyone can interact with other PagerDuty users and PagerDuty employees via the PagerDuty Community (community.pagerduty.com). Our Support team is available during regular business hours around the globe, Monday through Friday, and can be contacted at: Email: support@pagerduty.com or via a ticket submitted at tickets.pagerduty.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By PagerDuty
By SolarWinds
By StreamScape
Top
10
In Agile Lifecycle Management, IT Business Management, ML Solutions
Top
25
In Log Analysis
Top
100
In Data Governance
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
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
Incident Response Orchestration
End-to-end incident management with service ownership model that mobilizes appropriate team members and automates infrastructure workflows
Runbook Automation
Managed cloud service enabling creation and delegation of automated operational tasks including service provisioning, CI/CD, configuration management, and incident remediation
Multi-Platform Integration
Over 700 integrations, APIs, and applications supporting integration with AWS services including CloudWatch, GuardDuty, CloudTrail, EventBridge, Security Hub, and DevOps Guru
Event Detection and Diagnosis
Automatic detection and diagnosis of disruptive events with machine learning-powered AIOps functionality leveraging over 10 years of data ingestion
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 and Integration
Quick installation with automated setup and easy integration with SolarWinds Hybrid Cloud Observability for reduced time to value
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 real-time metrics collection for comprehensive application monitoring
Automated Incident Response and Remediation
Provides root cause analysis, corrective action recommendations, and automated response actions integrated with ServiceNow, email, and Slack
Multi-Region Failover and Business Continuity
Supports automatic failover, failback coordination, and state monitoring across multiple AWS regions with automated recovery processors
Application Topology and Resource Management
Delivers topology views, task lists, notifications, and automation runbooks for resource management and operational reporting
Standard contract
No
No
No
Customer reviews
Mukul Bhati
Automation has reduced manual support effort and has improved incident response accuracy
Reviewed on Jul 16, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for PagerDuty Operations Cloud is for doing the automation part and minimizing the efforts. It decreases the count of the L1 support team because most of the tasks have been handled by the operation of PagerDuty Operations Cloud and the AI.
What is most valuable?
PagerDuty Operations Cloud offers several valuable features that have significantly benefited our operations. The solution keeps the person available and only rings the alert while there is any outage or any issue generated in the live environment. Additionally, it has an automated section where it handles similar issues if they happen again and is able to troubleshoot them by itself by running those jobs or actions that have been put in PagerDuty Operations Cloud.
PagerDuty Operations Cloud positively impacts our organization by helping us increase the overall SLA delivery. Earlier, we were having a delivery count of 87% or 88%, but after setting up PagerDuty Operations Cloud, we were able to achieve the SLA up to 99.5% post-installation. The improvement in SLA and SLI is mostly because of the faster incident response and fixing the issues that are most generic and reoccurring, which has been minimized and helped us increase the SLA and SLI.
What needs improvement?
PagerDuty Operations Cloud is already at its best, but AI can be integrated just to set it up and continue learning and provide a list of fixes that can be applied as suggestions, as that might help improve PagerDuty Operations Cloud operations.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud for around three years or more.
What do I think about the stability of the solution?
PagerDuty Operations Cloud is stable and much more stable than previous solutions.
What do I think about the scalability of the solution?
PagerDuty Operations Cloud's scalability is much more stable than expected. We can scale it up whatever the requirements are, so scalability is good.
How are customer service and support?
Regarding customer support, we never found any reason to get support from the customer. We were already supported while setting up the infrastructure and it was good. I would rate the customer support on a scale of one to ten as ten out of ten.
Which solution did I use previously and why did I switch?
Previously, we were using Teams for generating the alerts and Slack, but we prefer PagerDuty Operations Cloud, which offers many more options and setups that can be used.
How was the initial setup?
To deploy PagerDuty Operations Cloud in our organization, we have used public and private cloud. Earlier it was on-premises but we switched to private cloud.
What about the implementation team?
We have implemented the AI and automation through PagerDuty Operations Cloud for incident response. As mentioned earlier, it increased the SLA from 87% to 99% and our operations have been improved, and there is a very low count of clear or false alerts.
What was our ROI?
We have seen a return on investment. We have cost-cutting on the employees as we have decreased the headcount since there is less man labor required while PagerDuty Operations Cloud is able to handle all the alerts first as an L1. There is a lot of money saved compared to the pricing or the license that we have spent.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing for PagerDuty Operations Cloud is that pricing and license are good to go. Everything is perfect as per the licensing and pricing setup cost. There is no more suggestion I can provide based on that. We completely achieved whatever we are spending.
Which other solutions did I evaluate?
Before choosing PagerDuty Operations Cloud, we evaluated other options and chose Teams.
What other advice do I have?
We are using PagerDuty Operations Cloud to our maximum capacity and we appreciate the support that it has for continuing to learn from the issues that we have and to predict the outages or any alerts or whatever escalation is required. It can fulfill that.
PagerDuty Operations Cloud's embedded AI has significantly influenced revenue protection in terms of reducing alert fatigue and incident costs. We have improved a lot, and we have improved 25 to 27% of our overall incident management.
The alert reduction feature of PagerDuty Operations Cloud has a significant impact on preventing costly incidents in our organization. Alert reduction has been decreased as a result of removing false alerts. Earlier, we were getting 30 to 35 alerts per day. Now, there are only four or five general alerts that are genuine. That is a significant amount of alert reduction.
For others looking into using PagerDuty Operations Cloud, I would completely suggest that PagerDuty Operations Cloud is a good option to install or set up in infrastructure. It handles the infrastructure very well. I would rate this review nine out of ten overall.
Information Technology and Services
Real-Time Alerting and Powerful Incident Automation
Reviewed on Jul 11, 2026
Review provided by G2
What do you like best about the product?
The best about PagerDuty is its realtime alerting and incident mechanisms. The great thing is its automated incident reponse workbook and its automation mechanisms
What do you dislike about the product?
If the configuration is not done properly then we may end up in getting false positive or true negative alerts and that will cause confusion. The pagerduty customizations are very limited
What problems is the product solving and how is that benefiting you?
The problem that PagerDuty solving is realtime incidenting and alert creation. PagerDuty is completely scalable. Its reporting and analytical capabilities are really helpful in tracking the metrics accurately
Kushal S.
A Valuable Tool for Production Support and On-Call Management
Reviewed on Jul 07, 2026
Review provided by G2
What do you like best about the product?
What I like best about PagerDuty is its ability to quickly notify the right people during incidents and help coordinate responses efficiently. The alerting system is reliable, and the escalation policies ensure that critical issues don't get missed. As someone involved in application support, I find the mobile app especially useful because it allows me to acknowledge and track incidents even when I'm away from my desk. The integration with monitoring and ticketing tools also helps streamline incident management and reduces response times. Also it does provide competetive pricing as per market requirements. It does come with great support where users can get the support on priority, and user interface is so interactable for easy understandings.
What do you dislike about the product?
One thing I dislike about PagerDuty is that the initial setup and configuration of escalation policies, schedules, and integrations can be a bit complex, especially for new users. The platform also has many features, which can make the interface feel overwhelming at first. Additionally, frequent alerts during high-volume incidents can sometimes contribute to alert fatigue if the notification rules are not properly tuned.
What problems is the product solving and how is that benefiting you?
PagerDuty helps us manage production incidents more effectively by ensuring that alerts are routed to the correct support teams without delay. Before using a dedicated incident management platform, there was a higher risk of missing critical alerts or delays in escalation. With PagerDuty, incidents are tracked, escalated automatically when needed, and resolved faster through better team coordination. This has improved our response times, reduced downtime, and helped us meet SLA commitments more consistently, which ultimately leads to a better experience for both internal teams and end users.
Information Technology and Services
Reliable incident management tool
Reviewed on Jul 02, 2026
Review provided by G2
What do you like best about the product?
PagerDuty makes incident management much more efficient by sending instant alerts to the right team members. I like its reliable notification system, escalation policies, and on-call scheduling, which help ensure critical issues are addressed quickly. The integration with monitoring tools and collaboration platforms is smooth, and the mobile app allows me to respond to incidents even when I’m away from my desk. Overall, it helps reduce downtime and improves operational efficiency.
What do you dislike about the product?
If alrts are not configured properly engineers can receive multiple notifications making it harder to to identify critical issue alert tuning is required
What problems is the product solving and how is that benefiting you?
Help reduce downtime and respond it incidents faster it ensures right engineer is notified immediately when the issue occurs through automated alerts.
Sankalp M.
Reliable Alerts, Seamless Integrations
Reviewed on Jul 02, 2026
Review provided by G2
What do you like best about the product?
I use PagerDuty to manage incidents and on-call alerts for our team. I like how reliable the alerting system is; notifications are fast, ensuring the right person gets notified immediately, which reduces response time and helps us resolve incidents quickly. The on-call scheduling is easy to set up and manage, making it clear who is responsible at any given moment and avoiding confusion. PagerDuty works well with tools like Slack and Jira, which makes the incident response process much smoother. These integrations save us time since we don't have to switch between different applications. Alerts are shared in Slack, so the team can start discussions immediately, and if an issue needs tracking, we can create or update a Jira ticket, keeping all communication and tracking in one place. Overall, PagerDuty fits well with the tools our team already uses, adding significant value to our workflow.
What do you dislike about the product?
There are a few things that could be improved. The initial setup can take some time, especially if you're configuring complex alert rules and integrations. Some advanced features also have a learning curve for new users. The pricing can be a bit expensive for smaller teams, and it would be nice if more features were available in the lower-tier plans. The user interface could also be improved as some settings are spread across different sections, making it difficult to find what you're looking for, especially if you're a new user. It would also be helpful if the reporting and dashboards were more customizable without needing extra setup.
What problems is the product solving and how is that benefiting you?
PagerDuty helps us manage incidents effectively, ensuring quick alerts and reducing response time. It integrates with Slack and Jira, centralizing communication and incident tracking. On-call scheduling eliminates confusion about responsibilities.