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Changing the calculus of containers in the cloud

All Things Distributed

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.

Cloud 149
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Technology Short Take 151

Scott Lowe

Nick Schmidt talks about using GitOps with the NSX Advanced Load Balancer. 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.

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Technology Short Take 103

Scott Lowe

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 load balancing , CoreDNS , dynamic kubelet configuration , and resizing persistent volumes in Kubernetes. Operating Systems/Applications. Networking.

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Technology Short Take #81

Scott Lowe

Operating Systems/Applications. Here’s a Windows-centric walkthrough to using Nginx to load balance 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!).

Vmware 60
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Technology Short Take #25

Scott Lowe

Operating Systems/Applications. In any case, this article by Frank Denneman on Storage DRS load balancing 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.

Storage 92
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Lift-and-shift: Why does it undermine BSS-on-cloud transformation?

TM Forum

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.

Cloud 130
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Mastering machine learning deployment: 9 tools you need to know

Dataconomy

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.

Tools 77