OpenText AI Operations Management and Azure Monitor are prominent in operations management and monitoring. Although users prefer OpenText's pricing and support, Azure Monitor often has an edge due to its comprehensive features and seamless cloud integration.
Features: OpenText AI Operations Management offers comprehensive event correlation, integration of multiple data sources, and cost optimization. Its scalable design and single dashboard view transform infrastructure management. Azure Monitor excels in monitoring cloud resources, provides real-time alert capabilities, and excels in log and metric analysis, making it suitable for environments with multiple cloud subscriptions.
Room for Improvement: OpenText AI Operations Management needs enhanced scalability, simpler licensing, and improved implementation interfaces. Its complexity is a concern. Azure Monitor could use more AI-driven automation, improved initial setup, and better visualization features. Users also note the high administrative burden in multi-cloud environments.
Ease of Deployment and Customer Service: OpenText AI Operations Management is mainly deployed on-premises and receives mixed feedback on technical support reliability. It is generally praised for customer service dedication. Azure Monitor provides flexible deployment options across hybrid and public clouds, receiving positive remarks for customer service but facing challenges with offshore technical support handling.
Pricing and ROI: OpenText AI Operations Management is viewed as costly, with complex licensing. Despite offering substantial ROI through automation, its pricing is a barrier for smaller businesses. Azure Monitor uses a data ingestion-based pricing model, which can be flexible yet potentially expensive. Its affordability is appreciated when integrated with Azure services, providing balanced cost-benefit ratios in cloud-native environments.
Azure Monitor helps prevent impacts on their system.
Users end up getting no resolution from their team because they're outsourced vendors, and they don't have deeper expertise over any of the products they are referring to.
However, the second-line support is good.
I would rate the support for Azure Monitor as a seven.
OpenText goes out to bring the right people to answer any inquiries I have.
Azure Monitor is very scalable; there are no issues with scalability for different kinds of businesses.
Azure Monitor is working fine, yet I face a costing issue as if there are a lot of logs collected in the workspace or in the center, it becomes very costly.
The challenges with Azure Monitor are that it's initially complex to set up because you need multiple components.
If Azure Monitor can independently add one gigabyte, two gigabytes, or five gigabytes at least to log storage, I can fix the logs without syncing with Log Analytics Workspace and Sentinel.
The cost skyrockets once you start using it, and there are complaints that the actual cost of the Kubernetes cluster was less than the cost they were incurring for Azure Monitor.
Splunk is more business-friendly due to its prettier interface.
When I export logs into the application, workspace, log analytic workspace, and into Sentinel to read reports, I need to add storage, which increases the cost.
From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours.
Azure Monitor full stack visibility in managing applications' health helps with APM, infrastructure monitoring, multi-cloud monitoring, security and compliance monitoring, and DevOps and automation monitoring.
Resource monitoring is essential.
The ease of access in Azure is significant because it's native to the platform and easy to integrate.
This integration ensures that when monitoring systems alert and subsequently resolve, tickets are automatically created and closed.
Product | Market Share (%) |
---|---|
Azure Monitor | 5.0% |
OpenText AI Operations Management | 0.5% |
Other | 94.5% |
Company Size | Count |
---|---|
Small Business | 23 |
Midsize Enterprise | 6 |
Large Enterprise | 29 |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 7 |
Large Enterprise | 35 |
Azure Monitor is a comprehensive monitoring solution offered by Microsoft Azure. It provides a centralized platform for monitoring the performance and health of various Azure resources, applications, and infrastructure.
With Azure Monitor, users can gain insights into the availability, performance, and usage of their applications and infrastructure. The key features of Azure Monitor include metrics, logs, alerts, and dashboards. Metrics allow users to collect and analyze performance data from various Azure resources, such as virtual machines, databases, and storage accounts.
Logs enable users to collect and analyze log data from different sources, including Azure resources, applications, and operating systems. Azure Monitor also provides a robust alerting mechanism that allows users to set up alerts based on specific conditions or thresholds. These alerts can be configured to notify users via email, SMS, or other notification channels. Additionally, Azure Monitor offers customizable dashboards that allow users to visualize and analyze their monitoring data in a personalized and intuitive manner.
Azure Monitor integrates seamlessly with other Azure services, such as Azure Automation and Azure Logic Apps, enabling users to automate actions based on monitoring data. It also supports integration with third-party monitoring tools and services, providing flexibility and extensibility.
Overall, Azure Monitor is a powerful and versatile monitoring solution that helps users gain deep insights into the performance and health of their Azure resources and applications. It offers a wide range of features and integrations, making it a comprehensive solution for monitoring and managing Azure environments.
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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