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Ease of Management and Flexibility Lead to Long-Term Relationship for IGEL at Texas Credit Union
Randolph-Brooks Federal Credit Union was looking for a more powerful endpoint computing solution to deliver e-mail and core financial applications through its Citrix-based infrastructure to its end-users, and IGEL’s Universal Desktop thin clients and Universal Management Suite (UMS) software fit the bill.

Randolph-Brooks Federal Credit Union is more than just a bank. It is a financial cooperative intent on helping its members save time, save money and earn money. Over the years, the credit union has grown from providing financial resources to military service members and their families to serving hundreds of thousands of members across Texas and around the world. RBFCU has a presence in three major market areas — Austin, Dallas and San Antonio — and has more than 55 branches dedicated to serving members and the community.

First and foremost, RBFCU is people. It’s the more than 1,800 employees who serve members’ needs each day. It’s the senior team and Board of Directors that guide the credit union’s growth. It’s the members who give their support and loyalty to the credit union each day.

To help its employees provide the credit union’s members with the highest levels of services and support, Randolph-Brooks Federal Credit Union relies on IGEL’s endpoint computing solutions.

Approaches and Benefits of Network Virtualization
Businesses today aspire to achieve a software-defined datacenter (SDDC) to enhance business agility and reduce operational complexity. However, the SDDC solutions available today forgot about the most complex part of your infrastructure — the network. Network virtualization is critical to simplify application scaling and improve application performance without lengthy maintenance windows and potential security risks.

Businesses today aspire to achieve a software-defined datacenter (SDDC) to enhance business agility and reduce operational complexity. However, the SDDC solutions available today forgot about the most complex part of your infrastructure—the network.

Network virtualization is critical to simplify application scaling and improve application performance without lengthy maintenance windows and potential security risks.
 
In this whitepaper you will be introduced to Cloudistics Ignite’s Adaptive Overlay Network (AON) technology that provides the following benefits:
◦    Simplifies and automates network provisioning, avoiding manual errors common when dealing with physical networks, VLANs, etc.

  • Enables you to scale your business to multi-site locations without unnecessary costly hardware purchases and lengthy maintenance windows
  • Enables you to fine-tune your application’s performance and security through dedicated virtual networks that can be deployed in minutes

Natively built-into the Ignite platform, lowering costs by eliminating the need for 3rd party software and hardware

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.