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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.”
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.
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, loadbalancing, and storage connections - Sometimes referred to as "Infrastructure 2.0". a Fabric), and network switches, loadbalancers, etc.
Nick Schmidt talks about using GitOps with the NSX Advanced LoadBalancer. 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!),
If we think of "fabric computing" as abstraction and orchestration of IT components, then there is a logical progression of what gets abstracted, and then, what services can be constructed via logically manipulating the pieces: 1. Provisioning of the network, VLANs, IP loadbalancing, etc. 1 comment: Jon Toor.
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 loadbalancing, etc.), From an architectural perspective, this approach may also be referred to as a compute fabric or Processing Area Network.
The instantiation of these observations was a product that put almost all of the datacenter on "autopilot" -- Servers, VMs, switches, load-balancers, even server power controllers and power strips. Does it sound like Amazons recent CloudWatch, Auto-Scaling and Elastic LoadBalancing announcement? 3 comments: MHAner said.
This is an awesome overview of the OpenStack Folsom architecture , courtesy of Ken Pepple. In any case, this article by Frank Denneman on Storage DRS loadbalancing frequency might be useful to you. This is also why I’ve been spending time with Open vSwitch, which is a critical construct in Quantum.).
Lees spends some time reviewing the basics of Kubernetes networking, reviewing the core constructs leveraged by Kubernetes. Loadbalancing 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.
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.
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