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Paul Speciale is Chief Marketing Officer at Appcara , which is a provider of a model-based cloud application platform. Numerous IT management tools are available today for use with the cloud, but the rubber meets the road at the level of the application because this is what a user will actually “use.” Cloud Application Management.
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. . Branches and other offices.
But when it comes to migrating to the cloud, many software vendors and CSPs in the past decade have taken a 'lift-and-shift' approach, which involves taking modular applications and containerizing them in the belief that they are cloud-ready. It is therefore vital to assess application performance before taking the plunge.
In our industry, four years is a long time, but I think we've only just started exploring how this combination of code packaging, well-designed workflows, and the cloud can reshape the ability of developers to quickly build applications and innovate. How do you define and group services into applications? Getting Started.
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.
This is very much analogous to how OS virtualization componentizes and abstracts OS and application software stacks. The next step is to define in software the converged network, its switching, and even network devices such as loadbalancers. Provisioning of the network, VLANs, IP loadbalancing, etc.
Nick Schmidt talks about using GitOps with the NSX Advanced LoadBalancer. Operating Systems/Applications. 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.
Operating Systems/Applications. 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.). Cloud Computing/Cloud Management. Definitely worth reading, in my view.
One of the key points is that Kubernetes is more application-focused, whereas OpenStack is more machine-focused. 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.
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. Check out these articles talking about IPVS-based in-cluster loadbalancing , CoreDNS , dynamic kubelet configuration , and resizing persistent volumes in Kubernetes. Operating Systems/Applications. Networking.
Machine learning deployment is a crucial step in bringing the benefits of data science to real-world applications. In every case, a deployed model is associated with an application that fulfills a particular use case. This approach is best suited for applications that require periodic updates and can tolerate some delay in results.
Operating Systems/Applications. 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. Yes, folks, you can use “infrastructure as code” techniques and principles with vSphere!).
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