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Whether it is redundant hardware or a private hot-site, keeping an environment up and running 99.99% (insert more 9’s here) of the time is a tough job. With a well-planned deployment, and a good infrastructure, companies can efficiently load-balance their IT environment between multiple active, cloud-based, sites.
The user level elements that are managed within such an IaaS cloud are virtual servers, cloud storage and shared resources such as loadbalancers and firewalls. The last point is key, since modern Enterprise Apps are typically constructed on multiple servers. Cloud Application Management. Security policies. Firewall rules.
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.
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.
Nick Schmidt talks about using GitOps with the NSX Advanced LoadBalancer. Servers/Hardware. If you have any feedback for me—constructive criticism, praise, suggestions for where I can find more articles (especially if the site supports RSS!), What do you think microsegmentation means ? Read more here. Yes please!
Servers/Hardware. 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.). There’s a lot to digest there (for me, anyway, there is a lot to digest).
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.), and storage connectivity (LUN mapping, switch control) are all abstracted and defined/configured in software.
If you’re not familiar with VPCs and associated AWS constructs, you should read this article. Servers/Hardware. Check out these articles talking about IPVS-based in-cluster loadbalancing , CoreDNS , dynamic kubelet configuration , and resizing persistent volumes in Kubernetes. It’s really good.
Servers/Hardware. Here’s a Windows-centric walkthrough to using Nginx to loadbalance across a Docker Swarm cluster. Keep that in mind—try to always offer constructive feedback instead of just being critical. Yves Fauser discusses NSX integration with Kubernetes in this blog post. Intel NUC or SuperMicro E200-8D?
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