Find out in this report how the two AIOps solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
It can save you the cost of the product by reducing expenses and downtimes in 12 to 18 months.
They are fast, responsive, and have technical expertise.
The product is very scalable, to the maximum.
I rate the stability of the product as ten on a scale of one to ten, indicating that it is very stable.
DX NetOps is somewhat convoluted, and some of the programming constructs can be documented or driven through languages such as Python, Perl, and shell scripting, but they have their proprietary language, which may not be very user-friendly.
It would be useful to have more AI features.
The licensing cost of DX NetOps is expensive, not very affordable, and on the top of the price range in the market.
I think the pricing is expensive.
The product features include automation through AI, allowing out-of-the-box analysis of performance data, building baseline trends, and enabling configuration of dynamic thresholds relative to collected data.
The best features I've seen so far with DX NetOps are that it can work with large scale systems, and it has a lot of functionalities and matrices.
DX NetOps by CA Technologies, a Broadcom company, improves your time to value through advanced AI capabilities and unified network visibility that delivers simplified NetOps intelligence into the user experience that traverses modern architectures. DX NetOps accomplishes this through high scale, unified network monitoring that enables full-stack analytics for assuring traditional and modern architectures. DX NetOps converts inventory, topology, device metrics, faults, flow and packet analysis into actionable intelligence for network operations teams. Complimented by our AIOps solution, DX NetOps enables IT teams to establish proactive, autonomous remediation capabilities across the applications, infrastructure, and networks that fuel superior user experiences.
IBM Turbonomic offers automation, planning, and right-sizing recommendations to streamline resource management, improve efficiencies, and optimize costs across virtualized environments and cloud platforms.
IBM Turbonomic is valued for its capability to optimize resource allocation and monitor virtual environments efficiently. It facilitates automated decision-making in VM sizing, load balancing, and cost optimization for both on-premises and cloud deployments. Users can leverage insights for workload placement, ensure peak performance assurance, and effectively right-size across VMware and Azure. The ongoing transition to HTML5 aims to improve visual and navigational ease, while expanded reporting features are anticipated. Opportunities for improved training, documentation, and integrations enhance platform usability and functionality.
What Are the Key Features?In finance, IBM Turbonomic aids in maintaining platform efficiency during market fluctuations. Healthcare organizations leverage its capability for resource optimization during high-demand periods to enhance patient care support. Retailers use it for planning in peak seasons, ensuring resources align with fluctuating demand to maintain performance continuity.
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