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
According to a recent Forrester report, enterprises saved upto 82% while migrating from AWS instances to containerized workloads
Gartner expects that by 2022, over 75% of organizations worldwide will run their containerized applications in production
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

Benefits of being in Kubernetes orchestration

Bin packing – fit right VM workloads into the right compute
Auto scaling – ability to spin up VM workloads on demand
Reduced Infrastructure costs & footprint costs

Single management & observability platform for VMs & Kubernetes


Multi-cloud & on-prem support


Workload segmentation based on priority


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