ScienceLogic and Cisco UCS Manager compete in the IT management and infrastructure space. ScienceLogic appears to have an advantage with its dynamic applications and comprehensive technology environment handling.
Features: ScienceLogic offers customizable dashboards, a multi-tenant environment, and dynamic applications tailored to client needs. Its comprehensive monitoring and integration capabilities include built-in automation and cloud support. Cisco UCS Manager provides centralized management and robust management tools for server and network configurations, with seamless hardware integration.
Room for Improvement: ScienceLogic users see a need to simplify its complex interface, enhance reporting capabilities, and improve network monitoring range. There is a call for better API integration and clearer documentation. Cisco UCS Manager could become more user-friendly, with improved firmware upgrade processes and enhanced scalability features.
Ease of Deployment and Customer Service: ScienceLogic offers flexibility with on-premises and cloud deployment options and is backed by high ratings for customer service and technical support, characterized by knowledgeable assistance and quick response times. Cisco UCS Manager focuses on on-premises deployment and has mixed reviews on customer service, highlighting the need for more intuitive support and expertise during deployment phases.
Pricing and ROI: ScienceLogic's pricing model is flexible yet can become costly with extensive device usage. It provides a strong ROI through improved service visibility and operational efficiency. Cisco UCS Manager, although perceived as expensive, is acknowledged for its reliable performance and hardware integration. Users seeking robust infrastructure solutions might favor Cisco despite higher costs, while ScienceLogic's pricing may attract enterprises valuing advanced features and adaptability.
I can manage all LAN uplinks and fiber channel storage uplinks directly from UCS Manager.
Cisco UCS Manager provides cost savings by reducing the time support staff spend on long deployments.
The return on investment is fair but often challenged by medium-sized businesses who may question its adequacy.
With Intersight, service requests are automatically generated, enhancing the user experience and providing timely resolutions.
For a severity one case, a call ensures immediate assistance and resolution of the matter.
Regarding Cisco tech, they are pretty good.
I received excellent support from ScienceLogic.
Problems with Skylar may require longer wait times due to limited resource expertise.
I can install the hypervisor, such as VMware, and add the servers into the cluster seamlessly.
I would rate the scalability at nine out of ten, probably.
If there's a really complex problem, I would probably give it a ten since it gets escalated quickly.
The stability rating is nine out of ten, acknowledging some bugs, but indicating these are minor issues.
We would benefit from advancements in AI that offer firmware recommendations automatically, reducing the need for human intervention and vendor communication.
It doesn't work straight out of the UCS, so someone who knows what they're doing is needed immediately, and it can be quite confusing.
While it has been improved from using Java to HTML, simplifying the tabs would enhance user experience.
While some other companies have easier APIs, using this solution demands significant expertise.
If the knowledge for implementation could be spread through articles, it would reduce this dependency.
Integrating observability and APM monitoring into the overall portfolio would be beneficial.
Recently, we acquired an excellent bundle with significant discounts, with offers like buying three servers and getting one free, along with UCSC and fabric included for free.
As long as they can afford it, there is a setup cost involved.
ScienceLogic is not that expensive and is cost-effective overall.
It could be cheaper.
It supports ease of deployment, allowing for quick mass deployments in the data center, saving time and resources by doing so from a remote location.
Whenever there's a failure of any component, it's very easy to swap because you just disassociate that profile, remove the faulty blade, connect the new blade, and associate that profile, maintaining the same MAC address and worldwide port name.
One of the valuable features is the user interface base, specifically the C user interface.
Notably, its automation features, such as Runbook action, enable domain experts like me to execute one-click automation solutions, which contributes significantly to reducing MTTR.
The solution excels in three areas: application monitoring, server monitoring, and network performance monitoring.
The CMDB update and the automatic CMDB update are valuable.
ScienceLogic is a comprehensive IT infrastructure monitoring solution that supports networks, servers, cloud environments, and applications, suitable for private cloud and on-premises deployments.
Organizations leverage ScienceLogic for its robust capabilities in monitoring IT infrastructures of all sizes. It offers granular discovery, integration with CMDB, and ticketing systems. Valued for its flexibility, incident automation, remediation, and real-time relationship mapping, it supports hybrid environments with scalable and efficient monitoring functionalities. AI and machine learning enhance its feature set, while ease of deployment and strong support are crucial benefits.
What are ScienceLogic's most important features?ScienceLogic is implemented across multiple industries, including large enterprises, for its capability to handle complex IT ecosystems. Its integration with CMDB and ticketing systems ensures it fits within existing workflows. Organizations use it to monitor diverse infrastructure landscapes, ensuring seamless performance and quick incident resolution.
We monitor all IT Infrastructure Monitoring 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.