Datadog and Cisco UCS Manager compete in the infrastructure management and monitoring category. Datadog seems to have the upper hand for cloud environments due to its flexibility with integrations and dashboard visualization, while Cisco UCS Manager excels with robust centralized server management for on-premise infrastructures.
Features: Datadog stands out for its hosted model, ensuring users don't need their infrastructure for operation. Its integrations, including AWS and Docker, provide a comprehensive view through seamless visualization tools like dashboards and monitoring features that aid in root cause analysis. Cisco UCS Manager provides centralized control for managing hardware resources, simplifying server management with service profiles and easy deployment of resources.
Room for Improvement: Datadog users point out the need for a clearer pricing model, improved real-time data insights, and better customization options for dashboard sharing. In contrast, Cisco UCS Manager users seek easier firmware upgrades, enhanced integration capabilities, and more intuitive interfaces for configuration. Datadog focuses on user experience, while Cisco UCS aims at technical enhancements.
Ease of Deployment and Customer Service: Datadog is praised for versatile cloud deployments with extensive integration possibilities, though there are occasional speed and support inconsistencies. On the other hand, Cisco UCS Manager offers strong support and stable systems for on-premises deployments, though its complexity requires technical expertise. Datadog provides good support despite occasional delays, while Cisco's deployment benefits from robust management despite its complexity.
Pricing and ROI: Datadog's usage-based pricing can be expensive but is often justified by its vast feature set, with a focus on operational efficiency and monitoring costs closely. Cisco UCS Manager tends to be more expensive but offers value through bundled pricing and reliability, with a notable ROI seen in performance stability and integration with existing infrastructures despite higher costs.
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.
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.
Adding new chassis and extra blades is streamlined.
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.
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.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
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.
The setup cost for Datadog is more than $100.
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.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
The technology itself is generally very useful.
Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.
Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.
What are the key features of Datadog?
What benefits and ROI should users look for in reviews?
Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.
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