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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.

Delivering a CI/CD Pipeline On-Prem - Solution Reference
In this solution reference, we demonstrate the ability to implement web services delivered through CI/CD using the Stratoscale private cloud environment. Specifically, we utilize an open source workplace messaging service, as an example web application along with Jenkins, an open source automation server which includes support for continuous delivery use cases. We provide an overview of our sample scenario, followed by a detailed deployment walk through that enables readers to easily replicate t

Modern enterprise IT teams are increasingly adopting cloud computing technologies as a foundational component of their strategy to deliver business value for internal stakeholders.

While public cloud infrastructures are often an initial launching point for experimenting with these environments, private cloud solutions are an attractive alternative due to their ability to meet specific functional and security requirements while extending comparable benefits. To truly realize the potential of these investments, however, organizations need to be able to instantiate their high value use cases via private cloud capabilities such as those offered by Stratoscale’s solution.

A critical area of responsibility for IT teams is that they identify appropriate solutions for line-of-business (LOB) applications to meet the requirements of the business units that they support. As part of this, they take on the ownership of deploying, managing, and accommodating the customization of these workloads as needed. Many applications capable of meeting LOB requirements today are packaged and delivered as web services due to the fact that these configurations offer multiple operational advantages including scalability and resiliency. In addition, they allow providers to meet demands from users that they be able to access application functionality seamlessly across their various screens including desktops and mobile devices. For IT teams, this translates into the need for deploying internal facing web services using their private cloud infrastructures.

As opposed to traditional desktop software which may be updated on an infrequent basis, web services engender a model where functionality is continuously under development. This implies that IT teams work closely with developers to ensure that application improvements are released to users in a methodical and timely manner. Continuous integration and continuous delivery (CI/CD) pipelines can be built to accommodate this interaction so that value created by developers can be rapidly and safely delivered to users in an iterative manner.