Edge to Cloud in Real-time
Avesha’s KubeSlice enables real time movement of workloads between cloud and edge enabling low latency use cases like gaming or medical AI
Low Latency & Edge Enablement
According to STL Partners, Edge computing is a US$500 billion opportunity, modelling total edge computing addressable revenue 2020–2030.
PwC says the market for edge data centers is expected to nearly triple to $13.5 billion in 2024 from $4 billion in 2017
5G, IoT proliferation, Real time AI in Healthcare and Retail, AR/VR, Gaming and Media streaming use cases all require ultra low latency and edge enablement for their applications.
Low Latency with KubeSlice
KubeSlice enables applications to offload workloads to an edge cloud in real-time based on demand. In an "Edge first" deployment, microservices are placed in edge cloud and results are synced back to a central cloud.
Secure Edge Architecture with KubeSlice
To create an enterprise edge, it’s challenging to connect a datacenter to the public cloud in a secure manner.
An application in an edge is usually dependent on other applications in the cloud for services. This interaction is quite insecure if done without the use of a firewall outside of a cluster.
However, a firewall prevents any type of necessary contact between clusters, and the only way to allow for interaction requires tedious manual work to secure VPNs.
Avesha provides the ability to extend the compute environment from the public cloud to the datacenter edges in a secure way so that workloads in the cloud can access the services that are enabled by the datacenter and vice versa
What is unique about KubeSlice's Low latency solution?
KubeSlice architecture provides much better Low latency compared to other solutions
We make the network complexity disappear with our application overlay
The application overlay installs over existing infrastructure and inherits existing policies, and its topology is driven by the needs of the application
A KubeSlice instantly connects pods in an E-W direction eliminating setup of gateways, IP address overlaps and tricky firewall configurations
This enables support for automated workload placement based on measured application metrics such as latency
Multiple slices can independently support different QoE profiles
How does it work?
Avesha’s KubeSlice connects edges to cloud with secure overlay tunnels allowing for secure east-west traffic flow.
Register clusters in each Edge or Datacenter with Avesha Controller.
Create KubeSlices across edge clusters and create network policies for each Slice. KubeSlice creates secure application connectivity (East-West) across clouds.
Bring applications onto each Slice with simple YAML edits and HELM charts. Applications can communicate, share data, send traffic freely across clouds as if they are in one network.
Simplifying Kubernetes Operations with AI
