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Foglight Evolve Operate vs Huawei iBMC comparison

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Foglight Evolve Operate

0 views|0 comparisons
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Huawei iBMC

256 views|223 comparisons
Ranking
25th
out of 25 in Data Center Infrastructure Management
Views
0
Comparisons
0
Reviews
0
Average Words per Review
0
Rating
N/A
24th
out of 42 in Server Monitoring
Views
256
Comparisons
223
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
iBMC Server Intelligent Management System
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Quest Software
Huawei
Overview

Foglight Evolve takes a holistic and proactive approach to hybrid cloud management so you can simplify the complexity of your data center, reduce infrastructure costs, maximize system performance, and predict future costs with more accuracy.

The core of server management, iBMC, uses the Hi1710 BMC chip developed by Huawei to provide refined management and control for servers. iBMC adopts multiple innovative technologies and maximizes RAS features — all to improve server reliability, availability, and serviceability.

Sample Customers
American Airlines, Bank of America, BARCLAYS, ebay, Ford, intel, MARS, MERCK, Microsoft, UBER, VISA
Information Not Available
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company16%
Financial Services Firm11%
Real Estate/Law Firm10%
University10%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business25%
Midsize Enterprise13%
Large Enterprise62%

Foglight Evolve Operate is ranked 25th in Data Center Infrastructure Management while Huawei iBMC is ranked 24th in Server Monitoring. Foglight Evolve Operate is rated 0.0, while Huawei iBMC is rated 0.0. On the other hand, Foglight Evolve Operate is most compared with , whereas Huawei iBMC is most compared with Zabbix, PRTG Network Monitor, Lenovo XClarity Controller, Huawei eSight and Splunk Enterprise Security.

We monitor all Data Center Infrastructure Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.