Centralized alerts have reduced incident response time and now streamline SME on-call collaboration
What is our primary use case?
In my organization, we use PagerDuty Operations Cloud to acknowledge alerts. PagerDuty Operations Cloud is organized so that it is often used to page the SMEs. Whenever we work on any tasks and face critical situations where we are unable to troubleshoot from our end, we page for the SMEs. Irrespective of the team, if it is infra-related issues, we page to infra. If it is related to some other product, we page to that product's SMEs and involve them into a PagerDuty Operations Cloud call. We inform them regarding the issues, and then they acknowledge the alerts. After acknowledging the alerts, they start working on that particular error.
PagerDuty Operations Cloud is also organized so that if there is any critical issue, it will create an alert that will go in a particular notification form to the SME with a phone call, stating that there is a critical issue which is in progress. The particular SME will acknowledge the alert and come and join the call, mentioning that they have been paged for this issue. Then we will start working with that particular team to resolve the issue from our end.
Regarding the incident command system, we use the Freshservice tool. Freshservice and PagerDuty Operations Cloud have been synced in my organization. The incident command system is a structured way for major incidents. Whenever there would be any outage, in order to proceed with the communication flow, we use the incident command system in PagerDuty Operations Cloud. Everyone will jump into a call, and then multiple people will start fixing the issues. Everyone will be working hard to bring that instance back online or to restore that particular environment.
What is most valuable?
The best feature that I like about PagerDuty Operations Cloud is whenever we page a particular team. There is a specific feature where we can directly page a person. Usually, once we trigger the alert, it goes to a particular person, and if that person does not acknowledge it, then it will go to their reporting person. Even if they also do not acknowledge it, then it will go to some other person. In that case, it tends to take a bit of time because whenever we see the alerts, the alerts will be shifting to other people. Some people might not acknowledge the alerts due to various reasons, and it may get missed. In PagerDuty Operations Cloud, there is a specific feature where we can page a specific person or a specific user. If we give the particular team name, then in the subfield, we can specifically page a person. This feature attracts me a lot.
Additionally, there is another feature where we can check the SME calendar. In my organization, for a particular week, one person will be allotted as an SME. That calendar shows which person is the SME for the particular week regarding the particular product. These are the features I enjoy the most in PagerDuty Operations Cloud.
The main benefits I can say from using PagerDuty Operations Cloud are that we can easily page them. It is also widely used in our operations team for faster incident response, leading to a reduction of the MTTR, mean time to resolution. The smart on-call management allows us to create a call for the on-call people and to involve the backup engineers as well. One special thing in PagerDuty Operations Cloud is it has time zone-based scheduling. As per that particular time zone, we can schedule them. I witnessed automated escalation, where the particular person missed acknowledging the alert in PagerDuty Operations Cloud, leading to an automated escalation to their associate director or VP. This escalation policy is also very good in PagerDuty Operations Cloud.
The impact of integrating PagerDuty Operations Cloud with Freshservice is very good because earlier, when it was not integrated, there were many problems while paging the alerts. Now, when we have integrated it to Freshservice, once the alert comes into the queue of Freshservice, automatically a PagerDuty Operations Cloud alert will be created. So automatically, it syncs. Once it gets synced, the alert will be automatically created in PagerDuty Operations Cloud and will go to that particular person who is allotted as an SME for that particular product.
The measurable benefits from PagerDuty Operations Cloud are that it has made our work easier, where the alerts will be synced and then directly create an alert to the SMEs. Instead of doing it manually, if it is automated in such a way that an alert gets triggered and routed directly to the SME, then that is a great benefit.
What needs improvement?
To improve PagerDuty Operations Cloud, I can mention that we can improve the escalation policies. Nowadays, many people miss the alerts. There was an issue in a particular product, and when we paged it, that particular paged alert went to other product people. I do not know how that happened in PagerDuty Operations Cloud; it might be some configuration changes or anything in the backend. The point is we can improve on this setting, where the actual PagerDuty Operations Cloud alert should be routed and assigned to the correct person of that particular product. If it gets triggered to some other person unnecessarily, even that day, the particular person came into the Slack channel asking why they got paged for a product they were not part of. This is something we can improve on.
One feature I would like to see included in PagerDuty Operations Cloud is for a particular week, each person is assigned as an SME. It would be beneficial to add a note in the particular calendar where if this person is not available, then the backup engineer's name can be included.
For how long have I used the solution?
I have been working with PagerDuty Operations Cloud for four and a half years.
What do I think about the stability of the solution?
We have not used the real-time digital operations management feature. The advanced analytics feature is being used by another product in my cloud operations team. In my team, we have not used it.
How are customer service and support?
Regarding customer service and technical support teams of PagerDuty Operations Cloud, we never reached out to the technical support team. In my team, the technical support will handle the cloud-based platforms and everything. However, regarding PagerDuty Operations Cloud, in my organization, we do not have any technical team related to it.
Which solution did I use previously and why did I switch?
Prior to PagerDuty Operations Cloud, I have not seen any product of the same kind in my company. We do use PagerDuty Operations Cloud and also New Relic. A similar application, I have not seen before.
How was the initial setup?
I have not found any complexity in the initial setup process of PagerDuty Operations Cloud. The deployment was already pre-deployed.
Which other solutions did I evaluate?
I have not come across any other options or solutions available in the market. I am not sure if the on-call policy in Splunk is similar to PagerDuty Operations Cloud.
What other advice do I have?
We have integrated PagerDuty Operations Cloud with the Freshservice tool. Regarding automation in PagerDuty Operations Cloud, in my team, the admin access has been given to the onshore employees, not to Indian employees. I am not sure about that because I have been requesting admin access for a long time, but I have not been granted it yet. Given my experience with PagerDuty Operations Cloud, I recommend increasing the on-call primary escalation time to ten minutes. Additionally, for one hundred alerts, if we can manage that to one particular incident for one hundred alerts, that would also be beneficial. This adjustment will help with the mean time to resolution in all organizations. My overall rating for this product is ten out of ten.
On-call automation has transformed alert handling and now creates a faster, competitive workflow
What is our primary use case?
My use case for PagerDuty Operations Cloud is from the SRE and DevOps team. We use PagerDuty Operations Cloud for specific alerting purposes and for the pipeline process. When we build a pipeline and it suddenly fails due to some job and issues, we receive an error. We set up PagerDuty Operations Cloud with our monitoring services, which we are currently using, Datadog. Datadog is connected with PagerDuty Operations Cloud, and whenever Datadog receives an alert or a spike or anything critical, it will trigger an alert to PagerDuty Operations Cloud, and we quickly get a notification. We are currently using this process, and we are also maintaining our on-shift call rotation. For example, on Monday, Wednesday, and Friday, I am working as a shift lead, and then on Tuesday, Saturday, and Sunday, someone else is the shift lead. Regarding MTTR and all those statistics, we can see how many alerts we received, how many alerts we acknowledged this month, and we have a timeline as well. One of the valuable parts of PagerDuty Operations Cloud is that in our team, we can have a competitive environment. For example, if I resolved the most alerts triggered and resolved this month, then someone else can do it next month, and whoever resolves the most critical alerts on time receives appreciation every month.
What is most valuable?
One feature of PagerDuty Operations Cloud that I find valuable is the on-call schedule. We can manage our on-call scheduling, and we have various alert and notification delivery methods available, including mobile. We can receive phone calls, emails, SMS, and push notifications. For example, if someone missed the notification, they will get a phone call, which is very straightforward. We also have incident automation, making collaboration with any third-party monitoring services we use very straightforward, such as Datadog. We can seamlessly automate things with PagerDuty Operations Cloud. The AI features are also beneficial; for example, noisy alerts that trigger regularly and false positive alerts get suppressed. It checks the past month's alerts, showing us that this alert triggered 60 percent, this alert triggered 20 percent, this alert is rare, and this alert is not rare. The escalation policy is excellent as well, as if I did not pick up the call, my manager will get the call; if my manager did not pick up, then his manager gets the call. These are some of the most valuable parts we use in PagerDuty Operations Cloud.
In Datadog, we have multiple dashboards and monitoring systems where we see our spikes and alerts. When we integrated with PagerDuty Operations Cloud, we got better signal and less noise. When we are seeing a spike that is concurrent, in PagerDuty Operations Cloud, the AI feature already signifies that alert as a noisy alert, and it suppresses that alert. This significantly improves our workflow with both Datadog and PagerDuty Operations Cloud. We have faster response and faster escalation. Previously, in Datadog, we did not get notifications, and people would refresh it and check the spike every hour. Now that we integrated PagerDuty Operations Cloud, any alert triggers, and we quickly get a notification or a phone call. Therefore, we do not sit in front of a computer and refresh repeatedly. Additionally, we have a centralized incident workflow; PagerDuty Operations Cloud and Datadog feed into PagerDuty Operations Cloud incident timeline, so we see everything there. We do not need to open Datadog again and again, and if we need to deep dive into an alert from Datadog, we can click the link inside PagerDuty Operations Cloud, redirecting us to the Datadog dashboard where everything is noted down and visible.
In PagerDuty Operations Cloud, AI suppressing our alerts has helped streamline repetitive tasks. For example, very noisy alerts get suppressed automatically, aiding smarter routing. When we have new joiners in our team, they see alerts already suppressed, allowing them to focus on the critical ones instead of the lower ones. Additionally, alert prioritization is present; we receive critical alerts, high alerts, and then low alerts. The faster prioritization facilitated by AI enhances our alert management processes. Also, the root cause historical pattern assists us; if we get an alert similar to one from last month, it tells us how we resolved that alert previously. Historical patterns using AI greatly aid us in alert management.
What needs improvement?
I have already used PagerDuty Operations Cloud, and my previous monitoring tools were very poor for alerting. I had a good impression of PagerDuty Operations Cloud, but I believe it can improve with deeper root cause insights. I know there is automation to detect recent deployments causing incidents, but a deeper root cause analysis could provide more details. If PagerDuty Operations Cloud offers more information, we will not need to jump into the main dashboards where the alert triggered. For instance, if we get more insights directly in PagerDuty Operations Cloud, we would not need to check the Datadog dashboard. 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.
For how long have I used the solution?
I have been working with PagerDuty Operations Cloud for five years. I worked on two different projects, and in both projects, we use PagerDuty Operations Cloud.
What do I think about the stability of the solution?
In my previous project, we utilized the flexible incident command system to coordinate large-scale incidents, but in my current project with only Datadog, we have not received many alerts or incidents in the last couple of days.
How are customer service and support?
I do not have direct contact with PagerDuty Operations Cloud tech support or customer service teams, but my senior team members have connected with them when we received an alert related to our team failing to set it up properly. The customer support team promptly gave us insight and helped us within 24 hours.
Which solution did I use previously and why did I switch?
I am currently working with PagerDuty Operations Cloud. Previously, on my previous project, we were on BigPanda, but we faced multiple issues during BigPanda. At that time, there was no call schedule feature, and there was no alert triggered feature for BigPanda. We then moved it to PagerDuty Operations Cloud, and suddenly everything was smooth. We got a phone app as well; we set up PagerDuty Operations Cloud on the phone as well. Whenever any alert triggered for us, we used to quickly check from our phone to see if it was a false positive, a true P1, P2 alert, a major alert, or a critical alert. We then quickly jump into the alert and work on it. PagerDuty Operations Cloud changed the process and the flow in our team very smoothly.
How was the initial setup?
I found the initial setup of PagerDuty Operations Cloud straightforward; I did not face any complexities during the setup for alerts or during the initial configuration.
What's my experience with pricing, setup cost, and licensing?
Regarding pricing for PagerDuty Operations Cloud, I am currently a software engineer and a senior software engineer, so I do not handle the pricing aspect. However, 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. Many of us have low tier accounts that restrict us to acknowledging and viewing alerts, while a few have the ability to create and trigger alerts. Therefore, I do not think much about pricing, but I do believe it is somewhat high. However, I think this is valid because PagerDuty Operations Cloud provides a vast amount of benefits compared to other alerting systems.
Which other solutions did I evaluate?
Regarding the key differences, pros and cons of PagerDuty Operations Cloud compared to competitors, some pros include alert grouping, AI functionality, and the ability to easily integrate with Slack for quicker resolution. Additionally, we receive phone notifications and push notifications, which many of the other competitors do not provide. The pricing of PagerDuty Operations Cloud is also reasonable for the functionalities it offers compared to its competitors. These are some benefits I see in PagerDuty Operations Cloud, including helpful alert insights and direct links to dashboards we have integrated, such as Datadog and Grafana, which allow us to resolve issues quickly.
What other advice do I have?
The recommendation I share, based on my experience with PagerDuty Operations Cloud, is that it is one of the best platforms for synchronizing with your monitoring tools. It will improve your flow, and your team will definitely benefit from PagerDuty Operations Cloud compared to other competitors, as it offers numerous advantages. I give this review a rating of ten out of ten.
On-call teams have reduced downtime and respond faster through integrated alerting workflows
What is our primary use case?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been using PagerDuty Operations Cloud for six 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?
Its scalability is impressive; it scales very well, allowing us to add licenses, add services, and more very quickly and easily.
How are customer service and support?
The customer support is great; we have never had an issue when reaching out to someone in customer service when we have questions.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
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.
How was the initial setup?
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.
What was our ROI?
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.
What's my experience with pricing, setup cost, and licensing?
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.
Which other solutions did I evaluate?
I did not evaluate other options before choosing PagerDuty Operations Cloud.
What other advice do I have?
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.
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?
Reliable Alerting and Seamless On-Call Management for 24x7 Teams
What do you like best about the product?
Reliable alerting
PagerDuty excels at getting the right alerts to the right people quickly through multiple channels like mobile app, phone, SMS, and email, which is crucial for reducing MTTR in production environments. Users consistently highlight that alerts are timely, granular, and dependable, which helps avoid missed incidents and supports 24x7 operations.
On‑call scheduling and escalations
The on‑call management features make it easy to build fair rotations, escalation policies, and handoffs without manual spreadsheets or ad‑hoc processes. This structure improves accountability, prevents burnout, and ensures someone is always available to respond, which is especially valuable for global or follow‑the‑sun teams.
Integrations and workflow automation
PagerDuty integrates with most major monitoring, logging, and ITSM tools, turning raw alerts into actionable incidents and routing them automatically. Automation capabilities (including AI-driven and runbook automation) can trigger diagnostics, remediation steps, and collaboration workflows, cutting noise and speeding up resolution.
Collaboration and visibility
Incident dashboards, status updates, and post‑incident features give teams and stakeholders a shared view of what is happening during outages. This improves coordination across SRE, infrastructure, app teams, and management, and makes it easier to learn from incidents and improve reliability over time.
What do you dislike about the product?
PagerDuty's most common drawbacks include high pricing, a clunky user interface, and alert overload during incidents.
UI and usability issues
The interface is often called unintuitive, overwhelming for schedule overrides, rotations, and configs, with extra steps for simple tasks like editing overrides (requiring delete/recreate). Mobile app notifications nag about settings, and setup complexity adds a steep learning curve, especially for non-experts managing on-call.
Alert noise and reliability
Multiple rapid alerts can overwhelm phones with repeated calls, preventing acknowledgment and escalating stress during outages. While upstream monitoring fixes help, PagerDuty's lack of built-in noise reduction in lower tiers contributes to fatigue and morale hits for on-call staff
What problems is the product solving and how is that benefiting you?
Core Problems Addressed
PagerDuty tackles unreliable alerting by providing real-time, multi-channel notifications (mobile, SMS, phone) that ensure critical issues reach the right responders without delay. It fixes chaotic on-call scheduling through flexible rotations, escalations, and handoffs, eliminating spreadsheets and ad-hoc emails for 24x7 coverage. Noise reduction via AIOps and automation filters out low-value alerts, while integrations with 600+ tools (Jira, Slack, Azure, Datadog) centralize workflows and prevent tool sprawl.
Operational Benefits
Teams see faster MTTR and reduced downtime from automated triage, guided remediation, and runbook automation that standardize responses and cut manual steps. On-call burnout drops with fair rotations and stakeholder updates, improving morale and accountability during outages. Post-incident analytics and PIRs drive continuous improvement, identifying trends for proactive reliability enhancements.
Business Impact
Downtime minimization protects revenue and SLAs, with users reporting 40% fewer unnecessary alerts and quicker resolutions. Cross-team visibility boosts collaboration, bridging ops, dev, and support for scaled service ownership. In your Azure/Jira/Slack setup, it would streamline Severity A escalations and incident war rooms by automating Jira pulls and Slack posts
Real-Time Alerts and Seamless Integrations Boost Incident Response
What do you like best about the product?
Real-time alerting provides immediate notifications for critical incidents, which helps reduce response times. The escalation policies ensure that if one engineer does not respond, the incident is automatically escalated to the next person, preventing incidents from being overlooked. On-call scheduling is straightforward, making it easy to manage rotation schedules and distribute on-call duties among team members. The integration capability is strong, as it works seamlessly with monitoring tools, ticketing systems, Slack, Teams, and various automation platforms. Incident timeline visibility is excellent, offering a clear view of the sequence of events, including who acknowledged the incident and what actions were taken. This setup helps reduce MTTR, as teams can respond more quickly and in a coordinated manner, leading to less downtime overall. Mobile app support is also available, allowing users to acknowledge and respond to incidents directly from their phones when they are away from their desks.
What do you dislike about the product?
Alert fatigue can be an issue, as the system sometimes generates an excessive number of alerts, many of which are not critical. This can make it harder to maintain focus and respond with the necessary urgency. Additionally, there is a lot of noise from duplicate or repeated alarms—if thresholds or integrations are not properly configured, the same problem may trigger multiple alerts, which can be distracting. The pressure of being on-call is also significant; during particularly busy periods, the constant stream of notifications can be stressful and negatively affect work-life balance. Configuring escalation chains, routing rules, and service dependencies can be complex, especially for new users, and is not always intuitive. Finally, the alerts themselves sometimes lack sufficient context, so you often have to consult monitoring tools or logs to get the full details, as the PagerDuty notification alone is frequently insufficient for diagnosis.
What problems is the product solving and how is that benefiting you?
PagerDuty addresses the issue of delayed incident response and the absence of a clear escalation process during critical network or service outages. By consolidating alerts from various monitoring tools into a single platform, it ensures that the appropriate engineer is notified right away. If the initial responder does not act, the system automatically escalates the alert to the next on-call team member, preventing incidents from being overlooked.
For me and our NOC, this results in faster response times, which helps minimize service downtime. The clear on-call structure eliminates confusion about who should take action, while real-time incident visibility makes it easier to monitor progress. With less need for manual coordination, the platform efficiently manages alerting and escalation. It also assists in distinguishing between critical and informational alerts, helping us focus on the most urgent issues.
Enhancing Incident Management with Pager Duty
What do you like best about the product?
I love that pager duty has several different audible alerts, some of them are hilarious. Since picking up pager duty, I've been able to respond to incident and engage teams more efficiently.
What do you dislike about the product?
The only thing that I don't like about Pager Duty is that once I resolve an incident I can not re open the same incident if the issue recurs I have to start a new incident which sometimes can cause confusion with stakeholders and users.
What problems is the product solving and how is that benefiting you?
Pager Duty allows us to manage schedules and communicate with teams which makes it easier to respond to incidents in a timely manner, contact the appropriate people when needed and collaborate across teams to resolve issues, mitigate down time and provide excellent customer service.
Best Tool for Alert Management and on call support
What do you like best about the product?
1 - The services setup is evry easy
2 - The integration of services with various tools like slack and aws are very convinient and easy to integrate.
3 - The incident history helps in documenting the alerts as well
4 - Easy collaboration with Team
What do you dislike about the product?
The AI feature plan is very expensive in Pagerduty overall the experience is good.
What problems is the product solving and how is that benefiting you?
Being in the Devops Team our main concern is alert and responses monitoring , with the help of Pagerduty we are able to send alert to them and via on call we get the calls as well as notifications in our slack channel that helps in early acknowledgement and resolution of alerts.
PagerDuty Has Transformed Our On-Call Experience
What do you like best about the product?
What i like best about PagerDuty is how reliable and easy it is for managing on-call alerts. The mobile app is super handy, and the customizable notifications make sure i never miss a critical issue. It integrates well with our tools and just works when it matters most.
What do you dislike about the product?
Sometimes the alert noise can be overwhelming, especially when multiple systems trigger for the same issue. It takes a bit of effort to fine-tune alerts and avoid unnecessary pages. Also, the UI can feel a little cluttered a times, especially when navigating schedules or incident history.
What problems is the product solving and how is that benefiting you?
PagerDuty helps us respond to incidents faster by alerting the right people automatically. It reduces confusion during outages, improves team coordination, and cuts down on alert fatigue.
Best tool In market of Incident and On call management
What do you like best about the product?
Its a really good tool which provides very good features like you can create multiple service in pagerduty to mange multiple endpoints alerts also It has good features for on call which allows smooth on call rotation and incident management.
What do you dislike about the product?
Price is bit towards the higher side that be one thing they can make better
What problems is the product solving and how is that benefiting you?
It help us in incident and on call management
A Must-Have Tool for On-Call and Incident Management
What do you like best about the product?
It’s incredibly reliable when it comes to sending real-time alerts for critical issues.
Escalation policies, on-call schedules, and notification flexibility (calls, SMS, email) ensure that the right person is always alerted without delay.
It seamlessly integrates with our monitoring tools Zabbix and and Prometheus, making our incident response fast and efficient.
What do you dislike about the product?
Nothing to mention at all, its an essential software every enterprise should have
What problems is the product solving and how is that benefiting you?
PagerDuty solves the critical issue of missed or delayed alerts during infrastructure or application failures.
Before using it, we often relied on emails or dashboards, which weren’t reliable outside working hours.
Now, we get real-time alerts with smart escalations, ensuring that incidents are acknowledged and acted upon quickly.
It’s drastically reduced our MTTA and MTTR and brought peace of mind to the on-call team.
