

BigPanda and Cisco UCS Manager are competing products in the realm of IT management and monitoring. BigPanda has an advantage with its dynamic incident response capabilities, while Cisco UCS Manager excels in robust infrastructure management.
Features:BigPanda focuses on incident management and automation, providing advanced alert correlation, seamless integration with diverse tools, and agile incident response capabilities. Cisco UCS Manager offers comprehensive infrastructure management, efficient resource provisioning, and detailed resource control.
Room for Improvement:BigPanda could enhance custom reporting functionalities, broaden its integration ecosystem, and improve analytics for proactive incident management. Cisco UCS Manager might streamline its interface, facilitate easier navigation, and enhance real-time monitoring capabilities.
Ease of Deployment and Customer Service:BigPanda provides a cloud-based deployment model, ensuring a straightforward setup and swift service engagement. Cisco UCS Manager requires an on-premises setup, allowing extensive customization and offering strong post-deployment support.
Pricing and ROI:BigPanda has moderate initial setup costs, focusing on maximizing ROI through rapid implementation and operational efficiency. Cisco UCS Manager demands higher upfront investment due to its extensive features, yet offers significant long-term value for robust infrastructure control.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
Resource count has probably reduced by about ten to twenty percent due to the reduced incident count, which enables me to identify issues faster, meaning business recovery is quicker.
There's no need for an extra management device or virtual machine, as everything runs within the fabric interconnect.
Cisco UCS Manager provides cost savings by reducing the time support staff spend on long deployments.
If BigPanda can consistently provide such competent contacts, I would rate the support ten out of ten, otherwise, it is an eight out of ten.
Companies like CoreLogix, which is a log platform, achieve ten out of ten due to their responsiveness.
For technical support, we have only had to address password resets and alert mismatching.
For a severity one case, a call ensures immediate assistance and resolution of the matter.
With Intersight, service requests are automatically generated, enhancing the user experience and providing timely resolutions.
Regarding Cisco tech, they are pretty good.
It handles large volumes of alerts without limitations.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
I rate the scalability of BigPanda at eight.
Adding new chassis and extra blades is streamlined.
I would rate the scalability at nine out of ten, probably.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
If there's a really complex problem, I would probably give it a ten since it gets escalated quickly.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
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.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
There are indirect costs related to managing open-source products, leading to resource investment in maintaining the dashboards for these capabilities.
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.
Its automation has significantly improved incident response times, reducing the process to within one minute.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
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.
| Product | Mindshare (%) |
|---|---|
| BigPanda | 0.7% |
| Cisco UCS Manager | 1.3% |
| Other | 98.0% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 3 |
| Large Enterprise | 19 |
BigPanda enhances incident management through root cause analysis, alert deduplication, and event correlation. The AI-driven platform is designed for environments with high alert volumes, providing insights for data-driven decisions and seamless integration with tools like ServiceNow and Teams.
BigPanda addresses the complexities of incident management by offering an AI-focused approach to anomaly detection. Automation improves response times, while unified analytics supports informed decision-making. Despite AI integration and usability needing enhancement, the platform simplifies observability and ticketing through integrations with New Relic and Slack. Features like enrichment mapping and unified search improve functionality, though reporting and visualization aspects require development.
What are the key features of BigPanda?BigPanda is widely implemented in industries focusing on observability and predictive analysis, providing efficient alert processing and incident management. Users utilize its capabilities to seamlessly integrate with solutions like Dynatrace, particularly in environments that handle high volumes of alerts, ensuring effective notification delivery through various platforms.
Cisco UCS Manager enables streamlined operations through unified storage, networking, and computing management, offering enhanced reliability and flexibility.
Cisco UCS Manager provides enhanced management capabilities for infrastructures, simplifying server deployment and operations. Its user-friendly interface aids in easy configuration and visibility, including robust reporting. UCS Manager supports efficient firmware and OS updates for large deployments, ensuring smooth operations across physical and virtual environments.
What key features does Cisco UCS Manager offer?In industries managing extensive IT infrastructures, such as healthcare and finance, Cisco UCS Manager is crucial for optimizing server and network operations. It enables efficient creation of server profiles, integration with networking systems, and comprehensive monitoring, ensuring high availability and reduced setup time for complex environments.
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