

PagerDuty Operations Cloud and Temporal compete in the incident management and workflow orchestration categories. PagerDuty Operations Cloud has the upper hand in operational efficiency and support responsiveness, while Temporal excels in handling complex workflows and distributed transactions.
Features: PagerDuty Operations Cloud offers advanced alerting, scheduling, and escalation capabilities. Its seamless integration and versatile notifications contribute to robust incident management. Temporal is known for its durable execution of complex workflows, fault tolerance, and excellent retry mechanisms, making it suitable for developer-centric environments.
Room for Improvement: PagerDuty Operations Cloud could improve user management, integration with external applications, and alert noise reduction. Enhancements in app user experience and schedule management are also suggested. Temporal needs to enhance user-friendliness for beginners, provide more learning resources, and address latency in microservices. Users also recommend refining its dashboard and simplifying configuration for non-advanced users.
Ease of Deployment and Customer Service: Both products support deployment in public, private, and on-premises environments. PagerDuty's customer service is praised for its responsiveness and effectiveness in issue resolution. Temporal provides comprehensive deployment options but lacks extensive mentions of customer service, indicating possible reliance on internal support systems.
Pricing and ROI: PagerDuty Operations Cloud's pricing is viewed as higher, based on user count and features, which can be costly for larger teams. The ROI is often justified by operational efficiency and reduced downtime. Temporal offers cost advantages due to its open-source nature, especially for organizations managing their infrastructure. Cloud versions of Temporal can be costly, but the open-source model provides significant cost savings and strong ROI.
The escalation was not possible at all before, which led to the L1 team being under too much stress.
The alert reduction feature has greatly impacted our ability to prevent costly incidents, as we can accurately respond to alerts with the help of autonomous AI agents, which reduces erroneous notifications.
We definitely save time with PagerDuty Operations Cloud. It saves more than half an hour—30 minutes—for each incident.
The ROI is apparent in terms of business case automation; previously, a bunch of people filled in data in NetSuite or managed stocks between warehouses and Amazon, but now everything is automated, saving time.
we have never had an issue when reaching out to someone in customer service
They understand our concerns and are willing to implement solutions that integrate into PagerDuty Operations Cloud effectively.
I received good responses from PagerDuty Operations Cloud, and they provide informative assistance when required.
Scalability for PagerDuty Operations Cloud is excellent, and I rate it at 9.9.
Whatever top-notch tools we are using as an enterprise solution, PagerDuty Operations Cloud has kept itself current and integrates nicely with all the tools we use these days.
The product was highly scalable, with no limits on the number of applications or event routing rules.
We have never experienced any downtime or latency issues from PagerDuty Operations Cloud.
It never breaks down for us, and considering I have devoted 20 years of my career to IT infrastructure operations, where everything typically breaks down, including Jira and ServiceNow, it is impressive to say that PagerDuty Operations Cloud has not caused disruptions.
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.
It would be useful to have a way to define all configurations in code that is similar to how Terraform operates.
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 think a sandbox mode would be helpful for new team members, allowing us to guide them in simulating alerts, performing escalation policies, and creating PagerDuty Operations Cloud channels.
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.
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.
I hear from my manager that the pricing is very high for PagerDuty Operations Cloud, and only a few of us have the main business tier accounts.
It integrates with multiple applications and is highly customizable, with policies, escalation procedures, and an event routing tool that ensures contacting the right person.
In addition to those features, I also find the integration and reporting aspects of PagerDuty Operations Cloud valuable, as it records all triggered calls and incidents, enabling us to analyze patterns and identify the times when systems go down, thus assisting us in understanding and addressing the underlying causes.
Before, setting up everything was very difficult. Now, we don't have to think about it. We can simply set it up in PagerDuty and it works.
The deployment process is quite straightforward as it provides both Kubernetes and Docker Compose versions, allowing us to run it in ECS containers.
| Product | Mindshare (%) |
|---|---|
| Temporal | 4.4% |
| PagerDuty Operations Cloud | 0.6% |
| Other | 95.0% |
| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 16 |
| Large Enterprise | 44 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 6 |
PagerDuty Operations Cloud specializes in incident management and alert automation, with integration to 700+ platforms, reducing resolution time and manual workloads through AI-driven features and automated alerts.
PagerDuty Operations Cloud is a robust tool for automated incident management, integrating seamlessly with platforms like ServiceNow, Datadog, New Relic, and AWS. It provides AI-driven alert grouping, customizable escalation policies, and multiple notification methods, including SMS and mobile apps. Despite its intricate interface and cost concerns, it significantly enhances reliability and response times. Users utilize it for shift scheduling and automated responses via webhooks, optimizing operational management and improving reaction to high-severity alerts.
What are the key features of PagerDuty Operations Cloud?Organizations, especially in IT and DevOps, find PagerDuty Operations Cloud beneficial for automated incident management. Integrating with platforms such as Slack and cloud providers, it aids in efficient incident handling. Teams use it for monitoring and resolving critical issues effectively, leveraging webhooks and notifications to maintain operational efficiency.
Temporal automates and manages workflows efficiently, offering resilience in distributed systems with features like retry and fault tolerance. Its capabilities in handling complex workflows and integrating with programming languages make it a valuable tool for managing diverse business logic.
Temporal excels in workflow orchestration, automating tasks across multiple platforms, and ensuring durability in asynchronous operations. It supports long-running workflows and simplifies handling distributed transactions, reducing boilerplate code. Temporal is noted for its durable execution and built-in retry policies, enhancing resilience. Despite its complexity and steep learning curve, it is valued for its integration with popular programming languages and relatively easy setup process, though it requires improvements in user-friendly features, documentation, community support, and security.
What are Temporal's key features?Temporal is implemented in sectors requiring robust workflow orchestration, such as managing data pipelines, API integration, and scheduling tasks. Organizations in a Kubernetes environment leverage it for its scalability and infrastructure management capabilities, securing integrations and enhancing reliability across IT operations.
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