

OpenText AI Operations Management and LogicMonitor compete in AI-powered IT operations management. LogicMonitor appears to have the upper hand due to its robust data visualization, integration capabilities, and competitive pricing.
Features: OpenText AI Operations Management is known for its scalability, event correlation capabilities, and automation of repetitive tasks. Its integration with other systems and root cause analysis capabilities are also appreciated. LogicMonitor is recognized for robust data visualization, customizable dashboards, and integration capabilities. The fast and reliable dashboards and granular alert tuning are key features.
Room for Improvement: OpenText AI Operations Management's setup process is cumbersome, and its costs are high. It requires better scalability and usability improvements, with more intuitive dashboards. LogicMonitor's reporting capabilities could be more robust and customizable, and its setup process needs simplification. Enhancements in alert management and role-based permissions are desired by users.
Ease of Deployment and Customer Service: OpenText AI Operations Management offers deployment flexibility across on-premises and hybrid cloud environments but faces challenges in ease of use and setup. Its customer service reviews are mixed, indicating reliability issues. LogicMonitor offers various deployment options including public, private, and hybrid clouds. Initially strong customer service has become inconsistent recently.
Pricing and ROI: OpenText AI Operations Management has high pricing, with a complex licensing model challenging to manage across deployment sizes. Despite the complexity, ROI is improved with integration and automation. LogicMonitor is praised for competitive pricing, a straightforward licensing model, and value-added features. Its pricing flexibility and efficient monitoring capabilities contribute to favorable ROI, especially for large-scale deployments.
The return is more of value and savings in preventing costly downtime, making the savings of about $60,000 which we would have lost without LogicMonitor, and in IT staff efficiency, we save approximately 15 hours a week.
Because of LogicMonitor, we have reduced our EC2 infrastructure significantly, which has helped us reduce costs by 20%.
I can definitely notice a difference in our posture, uptime, and ability to solve problems and resolve outages much quicker since we have had LogicMonitor in place.
Within one day, I received a script, and LogicMonitor was able to provide the firewall configuration in LogicMonitor on the same day I submitted the request.
Customer support is on point and very well trained.
We need to be able to reach them in real-time, and without those kinds of options available, we have to set up ad hoc calls, which could be improved.
OpenText goes out to bring the right people to answer any inquiries I have.
My team works with the customer success team for technical support and customer service for OpenText AI Operations Management.
They are not licensed, so you could deploy one collector or 1,000 collectors for the same cost.
LogicMonitor's scalability absolutely meets our organization's growth needs.
LogicMonitor is pretty good at scaling things when it comes to monitoring AWS infrastructure because I can see that it scales very well for us.
The stability and scalability depend on architectural considerations and the company's specific situation.
The platform is reliable, alerts are consistent, and once collectors and integrations are in place, monitoring runs smoothly with minimal disruption.
It is very stable. I have never seen LogicMonitor itself go down.
Since we implemented LogicMonitor and got it working in production, there has been no downtime, no reliability issues, and nothing major regarding flare-ups from LogicMonitor's perspective.
We are following approximately 10,000 metrics and logs, and the platform performs pretty well.
I would also appreciate a stronger out-of-the-box AWS correlation, such as automatically grouping related issues across EC2, EBS, and ALBs in a way that reads as a single incident story.
I wish the user interface would be customizable to allow users to create personal context-specific workspaces to hide irrelevant data, rather than trying to have a one-size-fits-all interface.
The container monitoring seems to be really behind compared to some bespoke cloud-native monitoring solutions that are designed around Kubernetes, containers, and ephemeral environments.
Normally, predictive features can be more useful, but this is an end-to-end solution that needs to be customized.
Splunk is more business-friendly due to its prettier interface.
For small businesses that want to utilize LogicMonitor and are just starting out with limited customers, a pricing model targeted to this segment would be beneficial, perhaps at three or two dollars per device per month.
I experienced no issues with pricing, setup cost, and licensing; it was very transparent, and the licensing model is very clear and easy to understand.
From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours.
The dynamic alerting and root cause analysis have helped us fix issues before they cause a full-blown outage or degrade performance for end users.
Our SLAs and SLOs were averaging about 10 to 15 failed SLAs and SLOs that were over the time allotted to get those resolved, and those are now down to about two to three per week.
When talking about the statistics, it has helped us reduce downtime to about 40 to 50% because without LogicMonitor, we used to know about the downtime only when the application was actually down.
This integration ensures that when monitoring systems alert and subsequently resolve, tickets are automatically created and closed.
We have a platform where we are collecting metrics, logs, and traces for OpenText AI Operations Management, and if there is an anomaly, we directly open a ticket in our ITSM system.
| Product | Market Share (%) |
|---|---|
| LogicMonitor | 2.8% |
| OpenText AI Operations Management | 0.9% |
| Other | 96.3% |

| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 11 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
LogicMonitor offers flexible IT monitoring with customizable dashboards and robust alerting capabilities. It integrates seamlessly with third-party apps like ServiceNow and provides a single-pane view for diverse IT environments, aiding in proactive issue resolution and enhancing operational efficiency.
LogicMonitor stands out with its capability to monitor diverse infrastructures including Cisco Voice systems, data centers, and virtual environments. Supporting servers, storage, networking devices, and applications, it provides seamless integration with cloud services like AWS and Azure. Users leverage its scalability and flexibility, benefiting from dynamic thresholds, anomaly detection, and detailed visualization. All these features contribute to improved management of IT assets and streamlined operations. Users suggest improvements in mapping, reporting, and automation for remediation, desiring more customizations and an expansive application performance monitoring toolset.
What are LogicMonitor's key features?LogicMonitor is widely implemented across industries, providing monitoring for infrastructure in sectors like telecommunications, cloud computing, and managed services. Managed service providers particularly value its ability to track client environments, deliver proactive alerts, and generate comprehensive reports, while its integration with cloud platforms like AWS and Azure offers users centralized management and visibility into IT assets worldwide.
OpenText AI Operations Management centralizes event correlation and monitoring across infrastructures, prioritizing scalability and automation for efficient alert management. It empowers organizations with transparency and insights essential for effective IT resource management in hybrid cloud environments.
OpenText AI Operations Management offers comprehensive solutions for event correlation, integration, and centralized alert management. With capabilities that streamline operations, this tool supports efficient IT management across AWS, GCP, and on-premises environments. Despite requiring improvements in performance and usability, its robust reporting and seamless monitoring provide valuable insights for root cause analysis. Users leverage this platform to integrate event data, automate incidents, and manage hybrid infrastructures effectively, making it a key component in enhancing service perspectives globally. Its heavy architecture and reliance on Java and Flash, coupled with complex licensing and pricing, necessitate attention to functionality and support areas.
What are the key features of OpenText AI Operations Management?OpenText AI Operations Management is widely implemented in industries requiring comprehensive monitoring capabilities. Organizations benefit from its ability to consolidate tools and manage events effectively across hybrid environments. The integration of incident automation and performance evaluation tools is particularly beneficial for those looking to enhance compliance support and reduce response times. Despite some challenges, the platform remains a valuable asset in managing complex IT environments and improving operational effectiveness.
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