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Technology Short Take #25

Scott Lowe

Erik Smith, notably known for his outstanding posts on storage and FCoE, takes a stab at describing some of the differences between SDN and network virtualization in this post. This is an awesome overview of the OpenStack Folsom architecture , courtesy of Ken Pepple. Is Cisco’s Insieme effort producing a storage product?

Storage 92
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Mastering machine learning deployment: 9 tools you need to know

Dataconomy

Understanding machine learning deployment architecture Machine learning model deployment architecture refers to the design pattern or approach used to deploy a machine learning model. Dedicated Model API architecture, where a separate API is created specifically for the model and serves as an interface for model interaction.

Tools 77
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When Using Cloud Computing to Replicate is the Right Idea

Data Center Knowledge

Cloud Computing » Storage. With a well-planned deployment, and a good infrastructure, companies can efficiently load-balance their IT environment between multiple active, cloud-based, sites. So, if one site should go down – users would transparently be balanced to the next nearest or most available data center. .

Cloud 250
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Fountainhead: Converged Infrastructure. Part 1

Fountainhead

Converged Infrastructure and Unified Computing are both terms referring to technology where the complete server profile, including I/O (NICs, HBAs, KVM), networking (VLANs, IP load balancing, etc.), and storage connectivity (LUN mapping, switch control) are all abstracted and defined/configured in software.

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Fountainhead: Differing Target Uses for IT Automation Types

Fountainhead

A specific angle I want to address here is that of infrastructure automation ; that is, the dynamic manipulation of physical resources (virtualized or not) such as I/O, networking, load balancing, and storage connections - Sometimes referred to as "Infrastructure 2.0". a Fabric), and network switches, load balancers, etc.

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Fountainhead: Emergence of Fabric as an IT Management Enabler

Fountainhead

Think of it this way: Fabric Computing is the componentization and abstraction of infrastructure (such as CPU, Memory, Network and Storage). The next step is to define in software the converged network, its switching, and even network devices such as load balancers. Provisioning of the network, VLANs, IP load balancing, etc.