IBM Turbonomic and Cisco Intersight are contenders in IT infrastructure optimization. IBM Turbonomic appears stronger in automation and resource optimization, while Cisco Intersight leads in integration and orchestration.
Features: IBM Turbonomic is known for automation, dynamic workload placement, and right-sizing recommendations. Cisco Intersight excels in hybrid cloud integration, workflow automation, and system orchestration.
Room for Improvement: IBM Turbonomic's UI could be more intuitive, with enhanced reporting and dashboard customization. Cisco Intersight could improve hybrid cloud management and simplify deployment processes.
Ease of Deployment and Customer Service: IBM Turbonomic focuses on-premises environments with highly responsive customer service. Cisco Intersight supports hybrid and public cloud environments with attentive customer support and quick issue resolution.
Pricing and ROI: IBM Turbonomic offers competitive pricing with flexible licensing, although initial costs can be high. Cisco Intersight is noted for cost-effective pricing, appealing for comprehensive infrastructure management.
It simplifies the onboarding of new hardware, reducing time spent on manual installations and configurations.
For complex issues, it's challenging to get the right engineer quickly unless you have a specific contract like CX.
Cisco provides better support than anyone else.
Cisco technical support is helpful.
I rate its scalability a ten out of ten due to its capability to manage multiple domains and automate service requests.
Cisco Intersight is scalable enough for our needs, allowing management in a multi-environment setup and working remotely while deploying servers.
Some steps are not included in the official documentation, which can create challenges.
It is always accessible online, secure, and allows access from any location, following strict authentication standards.
There is a significant issue regarding migration from UCS Manager into Intersight without formatting the Fabric Interconnects (FI), which is problematic in a production environment.
When registering our devices and servers using tokens, auto-detection could make it easier by automatically identifying resources and adding them to the platform.
It would be great to have a chat session mode AI so that when I am on standby and encountering issues, I could engage with it, much like ChatGPT.
Cisco Intersight's license cost is very high compared to AWS and Azure solutions, which have lower initiation costs.
The pricing is fair and reasonable, particularly for enterprises.
The pricing mechanism sounds fair.
It also provides predictive analysis, predicting data leaks and making it easy to scale up servers remotely without requiring physical interference.
It provides visibility into other products and storage, and is beneficial for environments where Cisco and other vendors coexist, allowing full visibility of the entire infrastructure.
This solution has provided time savings and required fewer people to operate this tool, rather than direct cost savings.
| Product | Mindshare (%) |
|---|---|
| IBM Turbonomic | 4.7% |
| Cisco Intersight | 1.6% |
| Other | 93.7% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 41 |
| Midsize Enterprise | 57 |
| Large Enterprise | 147 |
Cisco Intersight delivers advanced data center management with cloud integration, remote server scaling, and predictive analytics, promoting efficient infrastructure management. It supports hybrid environments and is suitable for scaling across enterprises.
Cisco Intersight offers a comprehensive view of data centers with seamless cloud platform integration, enhancing manageability across environments. It is known for workflow automation, inventory management, and predictive analysis, allowing users to optimize workloads. Users leverage its scalability and ease of use, with features that aid in remote management and integration with both Cisco and non-Cisco products. However, improvements are needed in usability, automation, and third-party tool integration, especially for on-premises and hybrid cloud management. Users often face challenges with firmware management and transitioning from UCS Manager. Desired enhancements include better software compatibility, third-party integrations, expanded microservices support, enhanced AI features, and more automation capabilities, addressing setup complexity, support, and high maintenance costs.
What are the main features of Cisco Intersight?In industries where data center management and integration are critical, such as finance, healthcare, and telecommunications, Cisco Intersight is used to monitor and manage infrastructure across multiple sites. Its capability to combine platforms like HyperFlex and VMware allows organizations to maintain hardware status effectively, supporting both on-premises and cloud environments for efficient service delivery.
IBM Turbonomic enhances IT efficiency with automation, capacity planning, and reporting features, enabling organizations to optimize resource utilization and improve performance through advanced workload management and scenario analysis.
IBM Turbonomic equips organizations with robust capabilities for dynamic resource allocation and informed decision-making. Its planning module provides scenario analysis, right-sizing recommendations, and a customizable dashboard for tailored insights. Automation features improve workload placements and resource efficiency, while forecasting capabilities enhance performance. Simulation of environments helps in decision-making, leading to significant savings in cloud and hardware management. There is a need for a more intuitive interface, enhanced navigation, and improved customization in reporting with integration potential with third-party applications. Transition to the HTML5 interface and stronger training resources are among anticipated improvements.
What are the key features of IBM Turbonomic?IBMTurbonomic is implemented across industries such as cloud management and virtualization, helping organizations balance clusters, optimize virtual machine performance, and manage Azure configurations. In resource-monitored environments like VMware and XenServer, its features facilitate load balancing, VM rightsizing, and automation shutoffs. Industries can rely on its insights for cost-saving measures, ensuring efficient resource allocation for hybrid and cloud environments.
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