Server Virtualization is the process of presenting a logical grouping or subset of computing resources so that they can be accessed in ways that give benefits over the original configuration. This new virtual view of the resources is not restricted by the implementation, geographic location or the physical configuration of underlying resources. Commonly virtualized resources include computing power and data storage.
Learn how a simple, open and smart network can help with accelerating the deployment and delivery of applications. This Whitepaper on Network Virtualization best practices explains how to transform and bridge the virtual and physical networks.
Get our eBook on Virtualization and learn how you can improve business agility and service delivery via an open, agile network architecture. This eBook explains how to bridge the physical and virtual worlds and simplify connections across multiple data centers.
Virtualization promises cost savings, improved productivity, and the ability to transform your business. But too often security can either detract from the performance gains that virtualization promises, or just not give you the protection you need. Getting the balance right is critical.
Life gets easier when you pair Microsoft Azure and New Relic, especially now that New Relic is available directly in the Microsoft Azure Marketplace. Here are five best practices that can help you enhance the performance, customer experience, and business success of your Azure applications.
Application performance management (APM) focuses on monitoring, maintaining, and optimizing the performance and health of business applications across development, test, datacenter, and network environments. As mission-critical enterprise application environments become more complex because of the increased use of cloud, big data, and mobility, APM is becoming a top priority for IT teams that need to quickly and cost effectively track end-to-end application performance, identify and remediate the root cause of performance problems, and maintain service levels required by end users and business stakeholders. SaaS-delivered APM solutions offer rapid time to value for IT organizations that need to implement APM quickly with minimal disruption to the business.
The biggest change your technology management team must handle in executing a successful cloud strategy is prioritizing delivery against business priorities, not its own. The business wants faster time-to-market, greater agility, and more flexibility from the cloud strategy. This means setting priorities and creating metrics for previously unmeasured items.
This white paper will help you understand how you can achieve end-to-end visibility into application performance no matter where your application or parts of your application are running. You’ll learn what to look for when choosing an application performance monitoring solution and we’ll share some lessons learned about monitoring applications in the cloud.
Tintri VMstore and Tintri Global Center off er IT organizations the best choice for building and scaling virtualized environments. VMstore is the industry’s leading storage solution designed for virtualized environments, and Tintri Global Center adds the visibility and control to enable all VMstore systems to function as one. This winning combination of intelligent storage and deep insight makes Tintri the best choice for simply and predictably scaling storage in virtualized environments.
Tintri smart storage addresses the mismatch between storage and the demands of virtualization. Built on the industry’s first and leading intelligent application-aware architecture, VMstore and Tintri Global Center have the intelligence to deliver unparalleled performance and efficiency and end-to-end insights into the infrastructure, while allowing for unmatched VM control.
In this Buyer's Checklist, we describe how these storage systems differ from traditional arrays, provide insights into some of their unique features and offer guidance on evaluating, purchasing and deploying these storage systems.
Application-aware storage is designed to help achieve those goals by giving IT leaders and storage administrators VM-level visibility into application performance and availability, and by properly provisioning storage resources to meet those requirements in a virtualized environment.
IT organizations increasingly are turning to new storage solutions that are purpose-built for virtualization and cloud, with a focus on application-aware designs that provide VM-level visibility and control across the entire infrastructure.
This Field Report validates our impressive lab findings with feedback from the field: six customers who have Tintri storage in production environments. While each customer has a unique own story to tell, we found that everyone documented a compelling value proposition based on TCO factors. Throughout our research we found that Tintri’s approach provides significantly lower TCO than traditional storage solutions. Here is a quick review of some of the most significant items in light of what we’ve just heard.
This major Hollywood studio wanted to improve the computer time required to render animated films. Using HPC solution powered by Platform LSF increased compute capacity allowing release of two major feature films and multiple animated shorts.
University of East Anglia wished to create a “green” HPC resource, increase compute power and support research across multiple operating systems. Platform HPC increased compute power from 9 to 21.5 teraflops, cut power consumption rates and costs and provided flexible, responsive support.
Understanding new data center developments and how they can help you better serve your end users and driver operational efficiencies is an essential step in identifying the right colocation provider, so read this whitepaper today.
The term “Big Data” has become virtually synonymous with “schema on read” unstructured data analysis and handling techniques like Hadoop. These “schema on read” techniques have been most famously exploited on relatively ephemeral human-readable data like retail trends, twitter sentiment, social network mining, log files, etc.