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Showing 17 - 20 of 20 white papers, page 2 of 2.
Austin Solution Provider Powers DaaS Offering with IGEL and Parallels
In 2014, Austin-based Trinsic Technologies introduced Anytime Cloud. Anytime Cloud is a Desktop-as-a-Service (DaaS) solution designed to help SMB clients improve the end user computing experience and streamline business operations. Through Anytime Cloud, customers gain access to the latest cloud and virtualization technologies using IGEL thin clients with Parallels, a virtual application and desktop delivery software application.

Headquartered in Austin, Texas, Trinsic Technologies is a technology solutions provider focused on delivering managed IT and cloud solutions to SMBs since 2005.

In 2014, Trinsic introduced Anytime Cloud, a Desktop-as-a-Service (DaaS) designed to help SMB clients improve the end user computing experience and streamline business operations. To support Anytime Cloud, the solution provider was looking for a desktop delivery and endpoint management solution that would fulfill a variety of different end user needs and requirements across the multiple industries it serves. Trinsic also wanted a solution that provided ease of management and robust security features for clients operating within regulated industries such as healthcare and financial services.

The solution provider selected the IGEL Universal Desktop (UD) thin clients, the IGEL Universal Desktop Converter (UDC), the IGEL OS and the IGEL Universal Management Suite. As a result, some of the key benefits Trinsic has experienced include ease of management and configuration, security and data protection, improved resource allocation and cost savings.

IBM Spectrum Protect Plus Overview
IBM Spectrum Protect Plus is a new data protection and availability solution that simplifies VM and file recovery and access. It unlocks your data to provide value for emerging use cases, and can either be implemented as a stand-alone solution or integrate with your IBM Spectrum Protect environment to offload copies for long-term storage and governance efficiently at scale.
Organizations need a solution that focuses on virtual environments, deploys quickly without costly service engagements, and is easy to manage. For many large organizations, the solution also needs to be capable of delivering enterprise-proven scale, efficiency and data governance.

IBM Spectrum Protect Plus is a new data protection and availability solution that simplifies VM and file recovery and access. It unlocks your data to provide value for emerging use cases, and can either be implemented as a stand-alone solution or integrate with your IBM Spectrum Protect environment to offload copies for long-term storage and governance efficiently at scale.

Remove complexity in protecting your virtual infrastructure with IBM Spectrum Protect Plus
This white paper focuses on the deployment and basic setup of IBM Spectrum Protect Plus for protecting VMware. Readers will be taken through a step-by-step explanation of what is required to install and configure IBM Spectrum Protect Plus for basic backup and recovery of VMware virtual machines (VMs). Integration with Spectrum Protect for long-term data retention is also discussed.
IBM Spectrum Protectâ„¢ Plus is a new data protection and availability solution for virtual environments that can unlock your valuable data for emerging use cases. You can deploy it in minutes and have your environment fully protected within an hour. IBM Spectrum Protect Plus can be implemented as a stand-alone solution or can integrate easily with your IBM Spectrum Protect environment to off-load copies for long-term storage and governance with scale and efficiency.

This white paper focuses on the deployment and basic setup of IBM Spectrum Protect Plus for protecting VMware. Readers will be taken through a step-by-step explanation of what is required to install and configure IBM Spectrum Protect Plus for basic backup and recovery of VMware virtual machines (VMs). Integration with Spectrum Protect for long-term data retention is also discussed.
A Hybrid Approach to Big Data
We consider a scenario where a data science team needs to analyze a dataset that resides within an object storage service on a public cloud. This is a common scenario when an externally exposed service is deployed on a public cloud and telemetry data is stored for future analysis. In this scenario, we make use of a specific set of technologies which are representative of those that are typically adopted as part of big data and cloud computing deployment paradigms. We demonstrate how you can us

All IT managers understand the critical role they play in ensuring that the enterprise computing infrastructure under their control is effective in meeting the business goals of the organization. Indeed, staying competitive in the rapidly evolving world of today requires that businesses take a proactive mindset towards leveraging their IT investments to deliver key insights through big data initiatives.

The adoption of this mentality is often reflected by the inclusion of dedicated data science teams capable of driving these projects. These groups apply advanced analytical algorithms and artificial intelligence to large datasets with a goal of deriving competitive advantages for the organization.

The specific implementations vary and may impact a variety of business processes such as product development, marketing initiatives, sales management, etc. However, as the adoption of these practices continues to increase, IT teams need to be prepared to effectively support them. While on the surface it may seem that big data workloads are simply another application to deploy and manage, in practice they entail multiple challenges.

In this paper, we demonstrate the ability to implement a big data use case in practice using a hybrid cloud deployment strategy. We provide an overview of our sample scenario, followed by a detailed deployment walk through that enables users to easily replicate the scenario in their own environments. By the end of this paper, readers should have a clear understanding of how big data use cases can be implemented using the underlying technologies covered and how the adoption of hybrid cloud computing environments enables IT leaders to successfully meet the needs of these initiatives within their organizations.