Find out what your peers are saying about Zabbix, Datadog, Microsoft and others in Cloud Monitoring Software.
I would rate their technical support a nine out of ten.
Improving direct support for end customers, similar to Microsoft’s model, would be beneficial.
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.
The solution helps with capacity management, enabling us to determine when we need to scale up the network.
The stability and scalability depend on architectural considerations and the company's specific situation.
We are following approximately 10,000 metrics and logs, and the platform performs pretty well.
There are some complexities with deployment that could be improved in BMC TrueSight.
The technical support should improve to provide more accessible and open information.
You need to see the big picture and understand what the customer's pain points are to find the right tuning.
Splunk is more business-friendly due to its prettier interface.
BMC TrueSight licensing costs are on the more expensive side.
The pricing of DX Unified Infrastructure Management is high and often a concern for customers.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
Automated root cause analysis and predictive capabilities are powerful features that assist in resource utilization and capacity planning.
The solution is flexible, user-friendly, and offers essential functionality for transaction monitoring.
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 (%) |
|---|---|
| OpenText AI Operations Management | 1.0% |
| BMC TrueSight | 1.3% |
| DX Unified Infrastructure Management | 1.2% |
| Other | 96.5% |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 6 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 20 |
| Large Enterprise | 80 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
BMC TrueSight offers extensive event management and seamless integration, providing comprehensive monitoring across varied infrastructures through its centralized console and Knowledge Modules.
BMC TrueSight delivers robust event management capabilities with seamless integration and comprehensive monitoring of diverse infrastructures. Its single console simplifies management, offering automated triage for standardized alerts, enhancing efficiency. Knowledge Modules support services from hardware to cloud, while proactive monitoring and capacity optimization enhance customization. It efficiently supports mixed environments by providing detailed insights and intelligently routing alerts to reduce noise. While improvements are needed in deployment, integration, AI, automation, reporting, and complexity reduction, it still meets diverse operational needs effectively.
What are BMC TrueSight's key features?
What benefits and ROI should users seek in BMC TrueSight?
BMC TrueSight is widely used in performance and availability monitoring for infrastructure and applications, supporting the monitoring of servers, databases, networks, and IT environments. It is implemented to improve management and reduce downtime, serving needs in data centers and cloud services. Organizations leverage it for event management, comprehensive data center monitoring, and cloud services, using its capabilities for alerting, ticket creation, troubleshooting, and compliance, enhancing operational efficiency globally.
DX Unified Infrastructure Management is the only solution that provides an open architecture, full-stack observability and zero-touch configuration for monitoring traditional data center, public cloud, and hybrid infrastructure environments.
Designed to ensure an optimal end-user experience, this solution provides a modern HTML5 operations console that makes it easy and fast for today’s IT teams to implement, use, and scale – leading to faster time to value.
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.
