Splunk Observability Cloud and Cisco UCS Manager compete in the IT oversight and management category. Splunk leads in data integration and advanced analytics, while Cisco excels in infrastructure management and centralized control.
Features: Splunk Observability Cloud focuses on log analysis, security, and real-time performance monitoring. It provides robust data integration and customizable dashboards with advanced analytics for effective troubleshooting and operational efficiency. Cisco UCS Manager is designed for network and storage management, offering flexible deployment options and centralized control of server configurations. Cisco excels in streamlined administration and ease of infrastructure management.
Room for Improvement: Users suggest Splunk improve data aggregation, integration ease, and cost-effectiveness, along with better documentation and entry-level training resources. Cisco UCS Manager needs enhancements in upgrade processes, automation, and user interface simplicity. Efficient firmware upgrades and more versatile integration capabilities are recommended for diverse deployment environments.
Ease of Deployment and Customer Service: Splunk Observability Cloud provides deployment flexibility across cloud and hybrid environments with responsive though variable technical support. Cisco UCS Manager ensures consistent on-premises deployment but often requires technical expertise for effective setup. Both offer satisfactory customer service, with Cisco noted for hardware support and Splunk for cloud integration.
Pricing and ROI: Splunk Observability Cloud is viewed as costly, but its analytics and monitoring capabilities are considered valuable investments yielding high ROI through improved efficiency. Cisco UCS Manager's pricing is also high, mainly due to hardware costs, yet its perceived reliability and bundled offerings provide good value, with users often accepting the cost for its stability and effectiveness in managing complex infrastructure.
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.
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.
They often require multiple questions, with five or six emails to get a response.
They did respond to us, but they did not explicitly inform us about the feature's absence.
If any issues arise, we can raise a vendor case, and resolutions are provided in a timely and accurate manner.
Adding new chassis and extra blades is streamlined.
I would rate the scalability at nine out of ten, probably.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability an eight out of ten.
If there's a really complex problem, I would probably give it a ten since it gets escalated quickly.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
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.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
It would be beneficial if server details could be retrieved directly in synthetic monitoring.
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.
It appears to be expensive compared to competitors.
Splunk Observability Cloud is expensive.
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.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
Splunk APM provides a holistic view of the application.
Splunk Observability Cloud combines log search, data integration, and dashboards for seamless monitoring, enhancing infrastructure visibility and security. Its cloud integration and scalability support diverse environments, improving operational efficiency.
Splunk Observability Cloud offers comprehensive monitoring tools with user-friendly interfaces, enabling end-to-end infrastructure visibility. Its real-time alerting and predictive capabilities enhance security monitoring, while centralized dashboards provide cross-platform visibility. Users benefit from fast data integration and extensive insights into application performance. Despite its advantages, improvements could be made in integration with other tools, data reliability, scalability, and cost management. Users face challenges in configuration complexity and require better automation and endpoint protection features. Enhancing AI integration, alerts, and adaptation for high-throughput services could further improve usability.
What are the key features of Splunk Observability Cloud?In industries like finance and healthcare, Splunk Observability Cloud is implemented for application performance monitoring and infrastructure metrics. Its ability to track incidents and analyze machine data benefits network infrastructure, while distributed tracing and log analysis aid in tackling security threats. Organizations often integrate it for compliance and auditing purposes, enhancing visibility into network traffic and optimizing performance.
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