OpenText AI Operations Management and Azure Monitor compete in the IT operations management space. Based on capabilities and integration, OpenText seems to have the upper hand for diverse infrastructure environments, while Azure Monitor is more advantageous for Microsoft-focused enterprises.
Features: OpenText AI Operations Management offers integrated OS-level monitoring through OVPA plugins, effective event correlation, and customizable dashboards that enhance cost-efficiency while enabling scalability. It integrates seamlessly with other HPE products, optimizing network and application monitoring. Azure Monitor provides comprehensive cloud resource monitoring, customized alerts, and real-time data insights. Its seamless integration with Azure's ecosystem supports scalability and is appealing to enterprises utilizing Microsoft technologies.
Room for Improvement: OpenText AI Operations Management can improve its scalability, simplify licensing, and enhance performance with better event correlation functionalities. Users have noted a complex implementation process and high costs for smaller organizations. Azure Monitor requires enhanced visualization, better real-time monitoring, and increased support for non-Azure clouds. The consumption-based pricing model may lead to cost concerns, and its limited focus on Azure services poses challenges for multi-cloud strategies.
Ease of Deployment and Customer Service: OpenText AI Operations Management is mostly on-premises or hybrid cloud and noted for its complex deployment requirements, with average technical support and variable responsiveness. Azure Monitor is primarily public cloud, benefiting from quick deployment as a SaaS, and has strong support within Microsoft's ecosystem, though issue resolution can be slower due to offshore and ticket-based systems.
Pricing and ROI: OpenText AI Operations Management is considered expensive, with complex licensing favoring larger companies. It provides good ROI through automation reducing manual workloads. Azure Monitor's pricing fluctuates with its data ingestion model but is generally seen as cost-effective, particularly for Azure ecosystems. Both offer varied ROI based on organizational needs and integration depth.
However, the second-line support is good.
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.
OpenText goes out to bring the right people to answer any inquiries I have.
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 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.
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.
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.
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.
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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