Xangati announced a next-generation service assurance analytics and performance control platform, Xangati ESP for Cloud Workspace and Cloud Infrastructure, with self-healing support for new compute environments, new storage and networking data sources, and enhanced visibility into end-user metrics, spanning a range of software-dashboard modules for Virtual Infrastructure, Virtual Desktop Infrastructure (VDI) and Virtual Applications.
The Xangati ESP platform, a virtual appliance built on a common in-memory architecture that visualizes performance data with unprecedented speed and scale across multiple software-dashboard modules, crunches hundreds of thousands of interactions live, second-by-second, without the use of agents or probes, to enable predictive analytics based on dynamic threshold algorithms and machine-learned heuristics that determine acceptable service levels for:
- Performance: How fast is the infrastructure or platform running applications, and what impacts are there to the end-user experience?
- Efficiency: How well-utilized is the infrastructure or platform?
- Capacity: When does the infrastructure or platform need to be expanded to meet application needs to drive greater operations agility and productivity?
- Availability: Is the infrastructure or platform accessible/usable/active to mitigate risk to business disruptions or threat-related pattern anomalies?
- Cost: What are the right-sized IT investments to support the enterprise KPI’s and infrastructure ROI goals, and reasonable business outcomes?
Xangati launched four new ESP extensions to its best-in-class monitoring solution: NVIDIA physical GPU, Amazon Web Services (AWS), Microsoft Azure and Docker, in which Xangati’s virtual appliance software correlates real-time data across on-premise virtualization, containers and public clouds.
The Xangati ESP Extension for NVIDIA pGPU empowers cloud workspace system administrators with deep visibility into the performance of XenServer’s hypervisor pGPU utilization. Sysadmins can now optimize their pGPU resources by visualizing per-VM and percentage utilization metrics of pGPU, memory and frame buffers, and ensure optimal performance for VDI graphics acceleration.
The extensions for AWS, Azure and Docker are subscription licenses stackable on top of a required license for the core Xangati ESP for Cloud Infrastructure platform. The AWS and Azure Extensions analyze CPU, memory and storage utilization of an organization’s virtual machines and associated objects, and Virtual Private Cloud VMs hosted in an AWS or Azure account.
In a classic hybrid-cloud infrastructure, any VM can be a Docker-container host if the proper credentials to collect data are granted, such as for micro-services that execute one service or app (each Docker host consists of containers and images supporting a business service). The Xangati ESP Extension for Docker tracks and correlates metrics for containers and images so that they can be profiled and alerted upon within the overall context of end-to-end visibility and performance control services provided by Xangati.
From a networking perspective, Xangati is adding a new index for pattern anomalies, including end-user behavioral metrics that are correlated and analyzed across the spectrum of ESP modules and extensions:
- Measures unusual or suspicious activity associated with VMs, services and hosts
- Screens for anomalous interactions such as “affinity counts,” or the number of objects the anomaly index is interacting with; such anomalous interactions typically indicate potential security breaches (malware, DDoS, SpamBots, Data Leakage/Privacy)
- Comparison analysis benefits: The anomaly index is another useful source of threat intelligence for hybrid-cloud environments whereby data protection, data privacy and high availability are always top priorities.
Additional net new features and functionality to the Xangati ESP platform are:
- Xangati ESP Extension for EMC VNX: Deep integration into EMC VNX storage pools that reports the IOPS, throughput and latency metrics that EMC VNX is contributing to the hypervisors (file, block, unified). Additionally, data on NFS or CIFS shares, iSCSI or Fibre Channel LUNs and CPU utilization and overall network bit-rates are collected.
- Xangati ESP Storage Module: Designed for the storage infrastructure and virtual storage objects, Xangati collects metrics on the IOPS, throughput and latency of each datastore as well as the number of hypervisors and guest VMs using each. Xangati monitors the choke-points for storage systems, typically the network interfaces through which storage talks to the controllers that perform read/write transactions, the disks’ ability to deliver I/O, and/or the flash memory’s ability to cache and deliver I/O.
- Control enhancements of automated contention-storm analysis including for efficiency (alert driven remediation to avoid degrading conditions, and storm-driven remediation) and for prescriptive remediation actions (migration, modify memory or CPU, scale up or down, power off or on).
- Live visibility and on-demand insights of Citrix XenApp/XenDesktop and VMware Horizon availability and performance VDI metrics
- Device-independent, app-driven Visual Trouble Ticket capability
“Enterprises are focused on progressing their hybrid-cloud strategies; Xangati helps mitigate migration risk with its next-gen platform by extending its real-time performance analytics and IT efficiency solution beyond on-prem orthodoxies to include the two most popular public cloud resources, the predominant containerization standard, and several new data sources and analytics indices to create even greater gravity around one management console that assures service delivery quality and self-healing functions for virtual apps across conventional infrastructure silos,” said Atchison Frazer, CMO, Xangati.
The Latest
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...
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 ...