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ScienceLogic Achieves Validation for Cisco UCS

ScienceLogic is now validated on the Cisco Unified Computing System (UCS), the industry’s first converged data center platform that delivers smart, programmable infrastructure to simplify and accelerate enterprise-class application and service deployment in bare-metal, virtualized, and cloud-computing environments.

The ScienceLogic management platform provides consolidated visibility and control for heterogeneous, multi-vendor systems located in data centers, private clouds, and public clouds.

The ScienceLogic platform has been a network management module in the Cisco Smart Business Architecture (SBA) since 2009. Cisco SBA provides reference architectures that simplify and speed deployment of Cisco solutions for midsize to enterprise networks.

Selected for its ease of use and speed of deployment, the ScienceLogic solution includes a set of management templates that begin to provide availability, performance, and configuration information immediately, covering the spectrum of Cisco devices and services, including:

- Borderless Networks – routing, switching, wireless, networking, security

- Collaboration – voice, video, telepresence

- Data Center and Virtualization – Cisco UCS, VCE Vblock, data center switches

Extensive Cisco SBA testing served as a basis for the validation of the ScienceLogic management platform for Cisco UCS management.

Beyond the breadth of coverage for Cisco solutions, the ScienceLogic platform was designed to manage dynamic, heterogeneous compute environments from the data center to the cloud, making it well-suited for Cisco UCS, which combines leading solutions, infrastructure, and tools from multiple vendors.

ScienceLogic provides both holistic and granular views for Cisco UCS – from overall availability and performance to real-time alerts and performance trending on Cisco networking components, blade servers, and physical and virtual machines. Starting with intelligent auto-discovery, ScienceLogic management for Cisco UCS provides a consolidated view of physical and virtual infrastructure components, tracking and updating the relationships between components as they change in dynamic, virtualized, and cloud-computing environments.

“ScienceLogic is committed to providing the most comprehensive, advanced, yet easy-to-use Cisco management solution on the market,” said Jeremy Sherwood, Product Manager for Cloud, Virtualization, and Storage Management at ScienceLogic. “For core Cisco networking gear and advanced technologies like Cisco UCS, Cisco TelePresence, and VCE Vblock, ScienceLogic provides a single platform for consistent monitoring and management of the Cisco solutions you have today and the ones you will deploy tomorrow.”

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ScienceLogic Achieves Validation for Cisco UCS

ScienceLogic is now validated on the Cisco Unified Computing System (UCS), the industry’s first converged data center platform that delivers smart, programmable infrastructure to simplify and accelerate enterprise-class application and service deployment in bare-metal, virtualized, and cloud-computing environments.

The ScienceLogic management platform provides consolidated visibility and control for heterogeneous, multi-vendor systems located in data centers, private clouds, and public clouds.

The ScienceLogic platform has been a network management module in the Cisco Smart Business Architecture (SBA) since 2009. Cisco SBA provides reference architectures that simplify and speed deployment of Cisco solutions for midsize to enterprise networks.

Selected for its ease of use and speed of deployment, the ScienceLogic solution includes a set of management templates that begin to provide availability, performance, and configuration information immediately, covering the spectrum of Cisco devices and services, including:

- Borderless Networks – routing, switching, wireless, networking, security

- Collaboration – voice, video, telepresence

- Data Center and Virtualization – Cisco UCS, VCE Vblock, data center switches

Extensive Cisco SBA testing served as a basis for the validation of the ScienceLogic management platform for Cisco UCS management.

Beyond the breadth of coverage for Cisco solutions, the ScienceLogic platform was designed to manage dynamic, heterogeneous compute environments from the data center to the cloud, making it well-suited for Cisco UCS, which combines leading solutions, infrastructure, and tools from multiple vendors.

ScienceLogic provides both holistic and granular views for Cisco UCS – from overall availability and performance to real-time alerts and performance trending on Cisco networking components, blade servers, and physical and virtual machines. Starting with intelligent auto-discovery, ScienceLogic management for Cisco UCS provides a consolidated view of physical and virtual infrastructure components, tracking and updating the relationships between components as they change in dynamic, virtualized, and cloud-computing environments.

“ScienceLogic is committed to providing the most comprehensive, advanced, yet easy-to-use Cisco management solution on the market,” said Jeremy Sherwood, Product Manager for Cloud, Virtualization, and Storage Management at ScienceLogic. “For core Cisco networking gear and advanced technologies like Cisco UCS, Cisco TelePresence, and VCE Vblock, ScienceLogic provides a single platform for consistent monitoring and management of the Cisco solutions you have today and the ones you will deploy tomorrow.”

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People want to be doing more engaging work, yet their day often gets overrun by addressing urgent IT tickets. But thanks to advances in AI "vibe coding," where a user describes what they want in plain English and the AI turns it into working code, IT teams can automate ticketing workflows and offload much of that work. Password resets that used to take 5 minutes per request now get resolved automatically ...

Governments and social platforms face an escalating challenge: hyperrealistic synthetic media now spreads faster than legacy moderation systems can react. From pandemic-related conspiracies to manipulated election content, disinformation has moved beyond "false text" into the realm of convincing audiovisual deception ...

Traditional monitoring often stops at uptime and server health without any integrated insights. Cross-platform observability covers not just infrastructure telemetry but also client-side behavior, distributed service interactions, and the contextual data that connects them. Emerging technologies like OpenTelemetry, eBPF, and AI-driven anomaly detection have made this vision more achievable, but only if organizations ground their observability strategy in well-defined pillars. Here are the five foundational pillars of cross-platform observability that modern engineering teams should focus on for seamless platform performance ...

For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...