First Open Source GPU Could Change Future of Computing | @CloudExpo #Cloud

Researchers at Binghamton University recently became the first to create an open source graphics processor unit (GPU). The GPU they created, called Nyami, is appropriate for general purposes as well as graphics-specific work.

Nyami is significant in the research, computing and open source communities because it marks the first time open source has been used to design a GPU, as well as the first time a research team was able to test how different hardware and software configurations affect GPU performance. The results of the experiments the researchers performed are now part of the open source community, and that work will help others follow in the original research team’s footsteps. According to Timothy Miller, a computer science assistant professor at Binghamton, as others create their own GPUs using open source, it will push computing power to the next level.

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Developing a Microservices Pipeline | @DevOpsSummit #DevOps #Microservices

The rise of microservices has enabled teams to branch out from developing for innately complicated, monolithic applications and work with small, flexible and comparatively simple components. But when these components (numbering anywhere from the hundreds to the thousands for one application) need to work together, traditional tools and release processes can be lacking. Organizations need to adopt new delivery models, release strategies and tooling that can handle this new multitude of services and their dependencies.

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Parallels at UCISA 16: Learning Made Practical

Members of the Parallels team will be attending and presenting at UCISA16 in Manchester from March 16–18. Universities and Colleges Information Systems Association (UCISA) is an organization designed to increase the value of education and educational initiatives by offering a more comprehensive way for students to learn, giving them access to a higher educational standard through […]

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Artifact Repository in Continuous Delivery | @DevOpsSummit #DevOps #APM

Both prospects and customers often ask me why we need an artifact repository. Some think that as their favorite CI (Continuous Integration) server such as Jenkins already stores the output of each build, maybe there’s no need to add an artifact repository to their existing tool chain. Others simply wonder why they need such a repository at all.
In this blog post I’ll discuss why it’s essential for any continuous delivery and deployment project to version everything, and why artifact repositories such as Artifactory or Nexus are great choices for managing binary and other artifacts.

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Trends in Hyper-Scale Storage for Growing Data Center Workloads

Storage has finally become an interesting field, full of innovation and change, addressing growing new requirements for storage flexibility, density and performance. The falling prices of flash, the introduction of various flavors of storage class memory, combined with increasing appetite for commoditization of the data center infrastructure, has helped fuel the innovation in how data is stored and accessed.

Companies are faced with the challenges of how to store their ever growing data efficiently, at a cost point that is palatable to CTOs and CFOs, while keeping the right levels of performance and SLAs in order to provide storage services to end users and applications. At the same time, internal IT organizations are facing the challenge of competing with flexibility and price points offered externally through public clouds.

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A Revolution in IoT | @ThingsExpo #IoT #IIoT #M2M #ML #InternetOfThings

Sensors allow us to digitally monitor our physical world, and take real-time action on the data from afar. Plant managers, in fact, can manage multiple manufacturing locations around the world in real-time via sensors and Internet connectivity. Drone pilots in the Nevada desert; project military force by flying combat missions around the world via sensors and remote control. Trucking companies can track and manage, via telematics, thousands of trucks, trailers and their cargo all across the country in real-time. As automation increases due to advances in sensors, bandwidth, artificial intelligence, algorithms and machine learning – precision becomes not only possible, but all-important.

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Expanding @Exosite’s IoT Platform | @ThingsExpo #IoT #InternetOfThings

Exosite has announced its Taipei Office has formally been established. Exosite’s Taiwan operations have grown from the Taichung team, primarily focused on research and development, into a full-service IoT enablement organization with development and consulting capabilities. The new Taipei office is located in the Taipei Minsheng Dunhua district, surrounded by all its hardware and channel partners. Exosite will devote its time to the Taiwan market and expand its business into the Asia-Pacific market.

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Load Testing Defined | @DevOpsSummit #APM #DevOps #Microservices

Whether you’re a beginner simply looking to get started or a seasoned vet brushing up on your subject knowledge, this post will serve as a definitive guide on how to perform effective load testing on a web or mobile application.
Load Testing: A performance-related testing process that places simulated demand on software, web or mobile applications in order to measure responses and systems’ behavior under both normal and anticipated peak load conditions.

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Incidents Happen with Microservices | @DevOpsSummit #DevOps #Microservices

No matter how resiliently you build your application, incidents will happen. And as your application grows, the complexity of troubleshooting and resolving an incident also grows. With prior virtualization technologies, this might involve a virtualization admin, a network admin, a storage admin, and an applications developer to sort through the issue, put a resolution in place, and determine a root cause. With microservices architectures and Docker containers, this complexity is taken to the next level.

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Citrix App Center – Where it comes from and what it’s become

Citrix App Center – Where it comes from and what it’s become One of the main challenges in a virtualization environment is the management of the infrastructure. With thousands of VMs and users constantly being dynamically created and terminated, IT administrators have a tough time managing the network. In the early days, they had to […]

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