OpenText Operations Bridge and Elastic Observability are key players in the centralized monitoring and observability category. Elastic Observability appears to have the upper hand due to its flexibility, cost-effectiveness for large-scale users, and strong integration with modern cloud services.
Features: OpenText Operations Bridge offers comprehensive event correlation, integration capabilities, and centralized monitoring efficiency, which are highly valued for managing diverse platforms. Elastic Observability is highlighted for its flexible data search, logging capabilities, and integration with modern cloud services, making it ideal for open-source and tailored monitoring.
Room for Improvement: OpenText Operations Bridge can benefit from a simpler setup process, enhanced scalability, and more straightforward licensing options. Elastic Observability would improve with better visualization, easier metric analysis, and intuitive performance monitoring operations.
Ease of Deployment and Customer Service: OpenText Operations Bridge is used primarily for on-premises environments and is noted for its complex deployment and varying customer service experiences. Elastic Observability provides both on-premises and public cloud options, offering scalability benefits but facing inconsistent customer service quality.
Pricing and ROI: OpenText Operations Bridge is considered expensive for smaller companies, although it offers a solid ROI thanks to its integration and monitoring capabilities. Elastic Observability is more cost-effective for large-scale users due to its open-source nature, although it remains costly for smaller users. However, its competitive features make it a valuable investment for those able to utilize its full toolset.
OpenText goes out to bring the right people to answer any inquiries I have.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
Splunk is more business-friendly due to its prettier interface.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
This automation significantly reduces manual intervention in ticket handling.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
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