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Xangati Extends Cloud Service Assurance Analytics And Performance Control To AWS, Azure And Docker
Xangati today announced three new data-source compute extensions to its best-in-class service assurance analytics and performance control platform - the only live, cross-silo intelligence and IT efficiency solution engineered for hybrid-cloud infrastructures. With support for Amazon Web Services (AWS), Microsoft Azure and Docker, Xangati's virtual appliance software will correlate real-time data across on-premise virtualisation, containers and public clouds to enable self-healing optimisation.

Hybrid-cloud infrastructures are designed to accommodate multiple applications, a shared or converged physical layer and a software-defined layer, all of which expose the dynamic data centre to higher risk of unpredictable performance problems and resource inefficiency. But conventional infrastructure monitoring solutions are silo-specific and application unaware, while application performance management (APM) solutions alone are inadequate as they are largely infrastructure unaware.

Instead, Xangati maps infrastructure behaviour to autonomic controls across traditional silos in real time and analyses impacts to virtual application performance, efficiency and delivery to optimise the end-user quality of experience across any compute platform from private to hybrid cloud.

According to Gartner analysts Pankaj Prasad and Vivek Bhalla: "IT operations teams will need to move away from siloed operations for better synergies across various teams to take full advantage of ITOA tools. This is also necessitated by the fact that workloads are taking centre stage over the siloed domains of IT (servers, networks, databases, etc.), and IT operations teams have to work together to ensure these workloads are not impacted, while also improving the mean time to restore services (MTTR) in case of any outage." (Gartner, Modernize ECA With IT Infrastructure Monitoring Tools, Pankaj Prasad, Vivek Bhalla, 21 January 2016, G00291860).

"The contemporary enterprise now considers cloud infrastructure as the reality whereby hybrid/bi-modal IT incorporates an organisation's applications and data when they are distributed across multi-tiered environments," said Atchison Frazer, CMO, Xangati.

"While IT operations teams may not control all the siloed assets services run on, they still need to gain granular visibility into the performance of all functional components in order to drive attainment of business outcomes tied to metric-based service levels," added Frazer. "With new innovative cloud and container capabilities, Xangati allows cloud-virtualisation and IT operations managers to bank on the optimal performance of their entire hybrid infrastructure through one management console that automates prescriptive actions and drives greater efficiency."

The extensions for AWS, Azure and Docker are subscription licenses stackable on top of the core Xangati ESP for Cloud Infrastructure platform. The AWS and Azure Extensions analyse CPU, memory and storage utilisation of virtual machines and associated objects along with Virtual Private Cloud VMs hosted in an AWS or Azure account. With AWS and Azure extensions, system administrators can optimise the performance and utilisation of their hybrid-cloud infrastructure assets with agentless second-by-second accuracy.

In a classic hybrid-cloud infrastructure, any VM can be a Docker 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.

Product Features and Functionality
For more information about the Xangati ESP software modules and extensions, visit http://xangati.com/products/

Published Wednesday, April 13, 2016 8:32 AM by David Marshall
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