Datadog and Cisco UCS Manager compete in IT infrastructure monitoring and management. Datadog has an edge due to its comprehensive integration and cloud-native features ideal for software-centric environments, whereas Cisco UCS Manager is tailored for hardware management.
Features: Datadog provides robust cloud and software monitoring through integrations with AWS and Docker, offering features like anomaly detection, dashboards, and alerting that support complex infrastructures. It enables users to easily create and share customizable dashboards. Cisco UCS Manager excels in managing hardware by offering flexibility in network and SAN configuration, with a focus on simplifying management and provisioning tasks within on-premises environments.
Room for Improvement: Datadog users commonly express challenges with pricing complexity, dashboard customization, and a need for more intuitive interfaces alongside advanced query capabilities. Suggestions for more stable product versions and enhanced AI-powered insights have been identified. Cisco UCS Manager users mention concerns with interface complexity, scalability issues, and the need for better performance monitoring tools, with an emphasis on improved hardware-centric integration and user experience.
Ease of Deployment and Customer Service: Datadog supports private, hybrid, and public cloud deployments, and offers proactive customer service, though some users report delays in response and complexity in troubleshooting. Cisco UCS Manager is designed for on-premises deployment, providing a controlled environment ideal for hardware focus. Its customer service is regarded as reliable, although some users find the cost and complexity of resolution a barrier.
Pricing and ROI: Datadog's pricing is perceived as complex, requiring careful resource management to avoid high costs, which may impact ROI. Despite this, its capabilities are valued for reducing troubleshooting time and enhancing operational efficiency. Cisco UCS Manager, while costly in terms of memory and licensing, is valued for its stable hardware performance and reliability, with ROI mainly linked to consistent hardware performance rather than innovative cost savings that Datadog offers.
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.
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.
