KubeSlice
Avesha Enterprise for KubeSlice
Service Connectivity Layer for managing fleet of clusters for better application performance
KubeBurst
On demand cloud capacity for datacenters
KubeTally
Multi - cluster chargeback by application and teams
KubeAccess
Service gateway for multi-cloud applications
Smart Scaler
Smart Scaler
Predictive autoscaling based on application behaviors
Smart Karpenter
Predictive autonomous scaling of pods and nodes
Elastic GPU Service
EGS
Single/Multi-cluster and multi-cloud GPU provisioning and management platform
KubeAgent
KubeAgent
KubeAgent adds intelligence and autonomy to Kubernetes
EGS Resources
Explore Resources for Elastic GPU Service
Analyst Reports
Navigating Key Metrics for Growth and Success
Blog
Source for Trends, Tips, and Timely Topics
Documentation
The Blueprint for Mastering Tools and Processes
Customer Case Studies
Success stories from our valued customers and partners
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
How does it work?
Avesha’s KubeSlice connects edges to cloud with secure overlay tunnels allowing for secure east-west traffic flow.
