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Lift-and-shift: Why does it undermine BSS-on-cloud transformation?

TM Forum

A comprehensive and systematic approach is required to identify the right platform and ensure a smooth BSS migration, based on a well thought out design-construct. Not all applications may be suited for the cloud and its multi-tenant architecture. Technical Evaluation - Application Maturity.

Cloud 130
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Technology Short Take 151

Scott Lowe

Nick Schmidt talks about using GitOps with the NSX Advanced Load Balancer. Chris Evans revisits the discussion regarding Arm processor architectures in the public cloud. If you have any feedback for me—constructive criticism, praise, suggestions for where I can find more articles (especially if the site supports RSS!),

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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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Kubernetes on OpenStack: The Technical Details

Scott Lowe

Lees spends some time reviewing the basics of Kubernetes networking, reviewing the core constructs leveraged by Kubernetes. Load balancing is the next connection point that Lees reviews. In the process of reviewing Kubernetes networking, Lees points out that there are lots of solutions for pod-to-pod (east-west) traffic flows.

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When Using Cloud Computing to Replicate is the Right Idea

Data Center Knowledge

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. . Building a “business-in-a-box.”

Cloud 250
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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: 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.), From an architectural perspective, this approach may also be referred to as a compute fabric or Processing Area Network.