

OpenText AI Operations Management and Gigamon Deep Observability Pipeline compete in IT operations and network observability. OpenText has an upper hand in comprehensive features and support, while Gigamon focuses on network functionalities.
Features: OpenText AI Operations Management offers a consolidated dashboard for event correlation, emphasizes cost optimization and scalability, and includes comprehensive reporting capabilities. Gigamon Deep Observability Pipeline specializes in network traffic analysis, packet filtering, and provides insights for operational efficiency and security.
Room for Improvement: OpenText AI Operations Management needs improvement in integration complexity, UI modernization, and licensing simplification. Gigamon users suggest enhancements in cloud monitoring capabilities and better traffic visibility.
Ease of Deployment and Customer Service: OpenText AI Operations Management supports hybrid cloud and on-premises deployments, with mixed customer support reviews. Gigamon focuses on on-premises solutions, offers strong customer service, but shares challenges with offshore support consistency.
Pricing and ROI: OpenText AI Operations Management pricing varies by modules and is viewed as high, yet offers automation and ROI benefits. Gigamon Deep Observability Pipeline is considered expensive, often rated between eight and nine out of ten. Module selection impacts costs and ROI for both solutions.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
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 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.
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.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
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 | 7.6% |
| Gigamon Deep Observability Pipeline | 1.7% |
| Other | 90.7% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
Gigamon Deep Observability Pipeline is a comprehensive network visibility solution that provides real-time insights into network traffic. It offers SSL inspection and mobile network monitoring for traffic monitoring purposes. The solution optimizes networks, aids in security inspection, and improves firewall performance. It is praised for its performance, power, straightforward integration, stability, and ease of initial setup.
With Gigamon, organizations can gain complete visibility into their network traffic, identify potential threats, and take proactive measures to prevent them. The solution is ideal for organizations of all sizes, including enterprises, service providers, and government agencies.
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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