Download this whitepaper to learn how real-¬time cluster optimization technology can be used in multi¬-tenancy Hadoop environments to: • Eliminate the expense of having to physically isolate workloads • Enforce service level agreements (SLAs) based on customer¬ defined policies • Enable cluster usage tracking by job, task and user to speed troubleshooting and help with chargebacks

Quality of service (QoS) is a critical enabling technology for enterprises and service providers wanting to deliver consistent primary storage performance to business-critical applications in a multi-tenant or enterprise infrastructure. The type of applications that require primary storage services typically demand greater levels of performance than what is readily available from traditional storage infrastructures today. However, simply providing raw performance is often not the only objective in these use cases. For a broad range of business-critical applications, consistent and predictable performance are the more important metrics. Unfortunately, neither is easily achievable within traditional storage arrays.

Data centers have become the epicenters of the digital world, and thus continue to grow in speed, complexity, and importance. Whether an efficiently-run data center is a means to deliver a service, e.g an Internet Content Provider (ICP), or if the data center is the primary business, e.g. a multi-tenant data center (MTDC) - testing is a critical element in meeting customer SLAs and/ or internal performance objectives.

Agile and Lean are built on a foundation of continuous improvement: You need to inspect, learn from and adapt your performance to keep improving. Enhancing performance begins with having accurate, comprehensive data. The multitenant architecture of CA Agile Central is uniquely positioned to provide access to anonymized industry benchmarking data from tens of thousands of agile teams. CA Agile Central Insights capabilities, part of a CA Agile Central Unlimited Edition subscription, provide performance metrics and benchmarking data for individual teams, teams of teams and even whole business units, departments and organizations.

Multi-tenancy is a key feature of Workday and enables multiple customers to share one physical instance of the Workday system in a highly secure environment. Multi-tenancy is enabled through the Workday Object Management Server (OMS). Workday OMS allows servers to host multiple customer tenants simultaneously and builds “security walls” between each of the tenants. Thanks to Workday OMS, there is no way for any worker in one tenant to access the information of another tenant. Workday delivers its software using a continuous development model. Builds are rolled out weekly that contain new features, bug fixes, or performance improvements. Twice a year, Workday takes all the features put into preview and releases them to production for all customers. Workday customers are never landlocked on an old release, and all customers can utilize new features for the products they purchased as soon as they are live.

Introduction to Guaranteed Quality of Service is an in-depth account of the crucial importance of incorporating Quality of Service (QoS) technology within data storage architecture, outlining how QoS is the critical factor in enabling dependable storage performance for business-critical applications in a multi-tenant or enterprise infrastructure.

By implementing the VMware App Volumes™ application management solution, OGL built a multitenant VDI environment that delivers an extensive range of applications to customers in real time, with full application functionality on any device, while also reducing OpEx and CapEx. Download this case study to learn how OGL Computer addressed these issues and more with VMware App Volumes: • Scale VDI service for more customers and applications. • Reduce expenses of Citrix VDI solution delivery. • Deliver and manage applications dynamically, in real time. • Give users desktop access on any Internet-connected device.

Transitioning from traditional IT to cloud IT is not an all-at-once, big bang effort. Rather, the cloud adoption process should be an agile, incremental process. And the first part of that process is understanding the different cloud models. Contrary to popular belief, cloud isn’t necessarily only public cloud, multi-tenant, and hosted in a vendor’s data center. It can also be private cloud, single-tenant, and/or hosted in a corporate data center. Often the best solution is a hybrid combination of these options. This paper will show you the advantages of hybrid cloud applications and explore the considerations you should make to find an optimal solution for your organization.

The shift to the cloud is changing how companies think about their IT infrastructure and what they must do to manage it. The on-demand applications and services that comprise a cloud services network enable companies to rapidly deploy powerful capabilities to a broad set of users at very low costs. However, they also introduce challenges associated with securing and controlling users and access, simplifying adoption and scaling of these applications, and providing insight into utilization to ensure the business is optimizing its cloud investments. Okta’s on-demand identity management service enables companies to address these challenges head-on by being designed from the ground up as a scalable, secure, multi-tenant service that protects your data through centralized access control.

Emerging data center models are based on flexibility and non-disruptive, on-demand scalability. Infrastructure must not only support these capabilities, but be able itself to provide these same benefits and capabilities. F5 ScaleN is a breakthrough in high availability and scalability, offering the robust capabilities required to enable multi-tenant solutions, elastic applications, and infrastructure for any environment.

In this paper, EMA explores this question and examines Okta as an example of centralized, multi-tenant identity and access management that offers new

Many organizations seeking to get started with Hadoop implementation have resorted to the public cloud to avoid the complexities of deployment. Organizations are always looking for an opportunity to take advantage of the simplicity of cloud deployment and the efficiencies of multi-tenant operations on premise. Download this white paper to see why there is a greater need to simplify on-premise deployment and see how this will greatly improve manageability and security.

"By implementing the VMware App Volumes™ application management solution, OGL built a multitenant VDI environment that delivers an extensive range of applications to customers in real time, with full application functionality on any device, while also reducing OpEx and CapEx. Download this case study to learn how OGL Computer addressed these issues and more with VMware App Volumes: • Scale VDI service for more customers and applications. • Reduce expenses of Citrix VDI solution delivery. • Deliver and manage applications dynamically, in real time. • Give users desktop access on any Internet-connected device. "

This brief focuses on performance gains when using SteelHead SaaS with Office 365 for multi-tenant cloud services.

Learn why NetScaler is the most fexible and effective application delivery solution for building high-density, multi-tenant data centers and cloud services.

Cisco's Virtualized Multi-tenant Data Center (VMDC) system defines an end-to-end architecture, which an organization may reference for the migration or build out of virtualized, multi-tenant data centers for new cloud-based service models such as Infrastructure as a Service (IaaS).

When it comes to performance, Azure SQL Database is built for you, the developer. Azure SQL Database is designed to make your work easier and let you focus on other priorities. It scales on the fly, without downtime, with capabilities that make it great for building multitenant software as a service (SaaS) apps. Plus, it learns and adapts to your database workload, whatever that may be, using built-in intelligence to continually adjust and improve over time. That said, there’s more to a successful app than impressive performance. That’s why we built Azure SQL Database to be just as intelligent in other areas, such as availability and security, so that you won’t need to worry about those essentials either. Finally, we built Azure SQL Database to let you work the way you want, using the tools and platforms you prefer. It’s why we call Azure SQL Database the intelligent database for developers. Read on to learn more, and we’re sure you’ll agree.

This document educates end-users and decision makers on Software-as-a-Service (SaaS), where it differs from traditional software, and what the key benefits are when deploying SaaS applications. In addition, this document also provides the reader with a comprehensive look at the Total Cost of Ownership (TCO) analysis any decision maker should complete before making a choice between a SaaS or a traditional software deployment.

Learn how massive storage economies can be achieved without sacrificing security, even in a multi-tenant environment.

Since business-wide deployment of ad hoc reporting tools can be a resource-intensive process, this white paper offers five-step roadmap of evaluation steps to help fully assess the quality of the products under consideration.

Gartner predicts that by 2016, 40 percent of the global workforce will be mobile, and, by 2018, 70 percent of workers will be mobile. This white paper discusses how to choose a mobile ad hoc BI solution.

Getting ad hoc reporting tools into users’ hands can be a logistical challenge. This white paper offers five tips for easing that process and discusses how to effectively deploy ad hoc reporting for business users.

Encouraging self-service BI adoption is both a technical and a human resource effort. This white paper offers a 10-point checklist for improving this process, and includes these questions and more in this easy-to-read white paper.

When it comes to explaining information, this white paper outlines a few basic data visualization tips to improve the impact of visualizations, ensuring that the story in the data is expressed as effectively as possible.

This white paper discusses the forces shaping today’s data centers and describes the capabilities businesses should look for when selecting PDUs.