Optimising Hybrid Cloud infrastructures

The Xangati ESP is a virtual appliance built on a common in-memory architecture that visualises performance data with unprecedented speed and scale across multiple dashboard software modules. Crunching hundreds of thousands of interactions in real time, without the use of agents or probes, Xangati enables predictive analytics based on dynamic threshold algorithms that determine acceptable service levels for performance, efficiency, capacity, availability and cost.

 

Xangati has also launched four new compute ESP extensions to its best-in-class monitoring solution: NVIDIA physical GPU, Amazon Web Services (AWS), Microsoft Azure and Docker. Xangati’s virtual appliance software correlates real-time data across on-premise virtualisation, containers and public clouds.

 

From a networking perspective, Xangati has added a new index for pattern anomalies, including end-user behavioural metrics correlated and analysed across the spectrum of ESP modules and extensions. The anomaly index measures unusual or suspicious activity associated with VMs, services and hosts, while also screening for anomalous interactions such as ‘affinity counts’, or the number of objects interacting with the anomaly index.  Such anomalous interactions typically indicate potential security breaches such as malware, DDoS, SpamBot and data leakage. The anomaly index is another useful source of threat intelligence for hybrid-cloud environments where data protection, data privacy and high availability are always key priorities.

 

“With enterprises focused primarily 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 conventional on-prem orthodoxies,” said Atchison Frazer, CMO, Xangati. ”This includes the two most popular public cloud resources, the predominant containerisation standard and several new data sources and analytics indices around one management console to assure service delivery quality and self-healing functions for virtual apps across conventional infrastructure silos.”

Product Features and Functionality

Additional information on the Xangati ESP platform:

·         Xangati ESP Extension for NVIDIA pGPU gives cloud workspace system administrators deep visibility into the performance of XenServer’s hypervisor pGPU utilisation.

·         Xangati AWS and Azure Extensions analyse CPU, memory and storage utilisation of an organisation’s virtual machines and associated objects and Virtual Private Cloud VMs hosted in an AWS or Azure account. This allows system administrators to optimise the performance and utilisation of their hybrid-cloud infrastructure assets with agentless, second-by-second accuracy.

·         The Xangati ESP Extension for Docker tracks and correlates metrics for Docker containers and images supporting business services, 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.

 

Additional new features:

·         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 utilisation and overall network bit-rates are collected.

·         Xangati ESP Storage Module is 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 v-storm driven remediation) and for prescriptive remediation actions (migration, modify memory or CPU, scale up or down, power off or on).

·         Live visibility into and on-demand reporting of XenApp, XenDesktop and Horizon View availability and performance VDI metrics