Cisco UCS Manager and Elastic Observability compete in the IT infrastructure management domain. Elastic Observability holds an advantage in hybrid cloud optimization and cost-effectiveness.
Features: Cisco UCS Manager unifies storage, networking, and compute through software for comprehensive control in SDDC environments, effortlessly manages servers, and provides flexible network configurations. Elastic Observability integrates logs and metrics, offering a robust platform for data visualization and search with Kibana, and is superior in hybrid cloud optimization.
Room for Improvement: Cisco UCS Manager needs enhancements in integration, user-friendliness, and firmware upgrade processes. It also requires improved automation and broader infrastructure compatibility. Elastic Observability could enhance visualization, application metrics, manual procedures in synthetic monitoring, and process management, addressing its steep learning curve.
Ease of Deployment and Customer Service: Cisco UCS Manager supports on-premises environments with responsive technical support. Elastic Observability supports public and hybrid clouds, providing flexible deployment options. It has a high customer service rating, although regional discrepancies exist with US-based support being more favorable.
Pricing and ROI: Cisco UCS Manager, though expensive, offers good ROI in comprehensive solutions but is costly compared to competitors like Dell and HP. Elastic Observability is more affordable, appealing for large-scale users due to its open-source benefits, though small businesses may find it comparatively high.
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.
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.
Adding new chassis and extra blades is streamlined.
I would rate the scalability at nine out of ten, probably.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
If there's a really complex problem, I would probably give it a ten since it gets escalated quickly.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
We would benefit from advancements in AI that offer firmware recommendations automatically, reducing the need for human intervention and vendor communication.
When changes are pushed, it can take their phone line off the system for twenty minutes to half an hour.
While it has been improved from using Java to HTML, simplifying the tabs would enhance user experience.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
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.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
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.
the most valued feature of Elastic is its log analytics capabilities.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
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