Key takeaways from VMworld 2018 – Containers and Kubernetes

Key Takeaways VMworld

Robin’s booth was the place to be at VMworld 2018 in Las Vegas. Throughout the week, many people stopped by our booth to learn about the Hyper-converged Kubernetes platform.

With more and more companies looking to modernize their applications for IoT, mobility, and the cloud – containers and Kubernetes have taken center stage. In fact, it was no surprise that Kubernetes was the first-class citizen in many keynotes.

VKE on AWS

VMware led the Kubernetes discussion at VMworld with a few sessions covering VKE (VMware Kubernetes Engine), its recent beta managed offering for Kubernetes. VKE is offered on AWS. VMware claims their key differentiation is that users do not need to worry about the underlying infrastructure. In contrast, users have to marshal the underlying EC2 instances on EKS, the native AWS Kubernetes offering. VKE comes as no surprise, given the twin sister PKS (Pivotal Container Service) offering introduced over a year ago.

Orchestration for Big Data and Databases

Clearly, Docker has taken the market by storm and is de-facto virtualization vehicle. Last few months we have seen Kubernetes picking up the same wave leading the orchestration end as the de-facto dominant option.

Arguably, VMware is late to the game but the race is still open. Looking at the VMware pedigree, I can’t help but wonder what can they offer that is different from existing Kubernetes solutions?

Well, for an ISV that invented virtualization with great solutions like NSX for networking and vSAN for storage they can certainly bring together pieces that can make Kubernetes a turnkey solution. They are not there yet, but they can eventually offer a Kubernetes solution based on the principles of hyper-convergence. We will see. Will VMware offer anything in the near future for stateful apps and stacks? Or for traditional RDBMS or Modern NoSQL? Or for AI/ML performance-based options?

Kubernetes, Microservices, and Stateful Apps/Stacks

We all know Kubernetes was not designed for stateful apps/stacks and mostly optimized for stateless microservices architecture and future looking edge. You must be asking yourself – where do the dots connect? Well, for now, they don’t.

At VMworld, Robin Systems officially introduced industry’s first Hyper-converged Kubernetes platform, extending Kubernetes to address stateful, distributed and clustered apps, databases, Big-Data, and AI/ML workloads.

Hyper-Converged Kubernetes

Hyper-converged Kubernetes is a software-defined application orchestration framework that combines software-defined storage, software-defined networking, virtualized compute (Kubernetes), and the application management layer into a single system. Our approach extends Kubernetes for data-intensive applications such as Hortonworks, Cloudera, Elastic stack, RDBMS, NoSQL databases, and AI/ML apps.

ROBIN hyper-converged Kubernetes architecture brings to life a 1-Click simplicity to data-heavy apps for deployment and lifecycle management functions such as snapshot, clone, patch, upgrade, backup, restore, scale, and control QoS of the entire application. This is done with a single mouse click or REST API call independent of the size and complexity of the application.

Hyper-Converged Kubernetes White PaperHyper-Converged Kubernetes White Paper

Here are some pictures from our booth at VMworld 2018 and feature presentations showcasing our automagical sauce…

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Author Razi Sharir, Vice President Products

More posts by Razi Sharir, Vice President Products
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