ScienceLogic announced enhancements to the company’s data center and cloud management platform to give enterprise IT managers real-time and multi-tenant insight, visibility, and control over private cloud environments.
The ScienceLogic platform provides unified monitoring out-of-the-box for integrated converged compute stacks like FlexPod and VCE Vblock, and the underlying technologies – Cisco UCS, NetApp, EMC, VMware, Xen, Microsoft Hyper-V, – that are designed specifically to deploy agile private clouds.
“As more enterprises deploy private and hybrid cloud environments, they must deal with levels of complexity, scale, and speed unlike anything they have faced previously,” said Antonio Piraino, CTO, ScienceLogic. “Enterprise clouds require a highly integrated approach to monitoring and management, across a heterogeneous set of vendors and technologies. Traditional IT management provides only point solutions that were never engineered or architected to work together – per vendor, per technology, per data silo. Our customers are able to leapfrog the time and investment needed to integrate these disparate solutions, launch private and hybrid cloud environments confidently, and get to market faster for true competitive advantage.”
The ScienceLogic platform integrates the core IT infrastructure management functions needed to run today’s complex, distributed computing infrastructures – including physical and virtual systems, performance, network, service, event and asset management capabilities, as well as multi-tenancy, run book automation and service desk – all in one product with one unified code base, user interface and centralized data repository.
Key features of the newest version include:
- Dynamic visualization of Cisco UCS, EMC, NetApp, VMware, Xen, and Microsoft Hyper-V infrastructure components in real time and grouped logically according to customer, service, or function
- Automated correlation of infrastructure health and availability issues across the private or hybrid cloud technology stack to business and customer impact for business-aware alerts and notifications
- First vendor support of just launched Cisco UCS Central, for proactive monitoring of global and distributed Cisco UCS deployments at scale
- Extended support for FlexPod and Vblock stacks and component technologies
The Latest
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...
Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...
Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...
OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...
Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...
The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...
The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership ... As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes ...
More than half (51%) of companies are already leveraging AI agents, according to the PagerDuty Agentic AI Survey. Agentic AI adoption is poised to accelerate faster than generative AI (GenAI) while reshaping automation and decision-making across industries ...
Real privacy protection thanks to technology and processes is often portrayed as too hard and too costly to implement. So the most common strategy is to do as little as possible just to conform to formal requirements of current and incoming regulations. This is a missed opportunity ...
The expanding use of AI is driving enterprise interest in data operations (DataOps) to orchestrate data integration and processing and improve data quality and validity, according to a new report from Information Services Group (ISG) ...