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Orchestrate VMs with Kubernetes & deploy anywhere

Avesha's VMKubed product fast-tracks your digital transformation & brings ease, agility & scale to your legacy application deployments.

Enterprises have a pressing need to modernize

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According to a recent Forrester report, enterprises saved upto 82% while migrating from AWS instances to containerized workloads

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Gartner expects that by 2022, over 75% of organizations worldwide will run their containerized applications in production

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In a recent Kubernetes survey run by Canonical, 47% of respondents have a need to integrate their legacy apps with cloud services

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Avesha VMKubed

Getting VMs into a container orchestration platform is just half the battle. Once your VM is inside a Kubernetes pod, how does it communicate with other Pods in and out of the cluster. Avesha VMKubed offers the complete solution starting from VMs to easy application networking between VMs & other containers. Watch this.

Avesha VMKubed – Features & Architecture

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Benefits of being in Kubernetes orchestration

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Bin packing – fit right VM workloads into the right compute

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Auto scaling – ability to spin up VM workloads on demand

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Reduced Infrastructure costs & footprint costs

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Single management & observability platform for VMs & Kubernetes

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Multi-cloud & on-prem support

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Workload segmentation based on priority

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Simplified and secure networking across clusters for both http and non-http traffic in an East-West connectivity without needing to traverse firewalls

Vmkubed Architecture

How does it work?

Here are the steps used by Avesha VMKubed to modernize your VMs and get them on a Kubernetes platform ready to communicate with other microservices

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Prepare your VMs to be moved to Kubernetes/Kubevirt orchestration. Kubevirt supports several VM image formats (Kubevirt Image Formats) and others can be translated into those formats.
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Define the KubeVirt .yaml files to specify to Kubernetes how it should manage your VM-based services.
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Onboard applications onto Avesha KubeSlice to ensure app to app connectivity between VM pods and traditional microservices