Multi Cloud with Ease
Avesha’s KubeSlice enables management, control, connectivity and workload placement, no longer do applications need to be bound to a single cloud.
Multi Cloud Benefits and Adoption
76% of companies are adopting multi cloud and hybrid cloud approaches according to State of the Cloud Report by 451 Research
Average number of clouds in use is 2.3. Larger companies use more clouds. Companies with more than $1bn in revenue are twice as likely to be using three or more clouds than small businesses.
Average savings possible by using multiple cloud providers for a simple application (compute, storage, bandwidth) is 45%. For a more complex deployments (adding databases and serverless), the global average savings is 29%.
Multi-Cloud with KubeSlice
KubeSlice works seamlessly for all clouds, without having to tweak to particular cloud environments. With KubeSlice, application workloads can seamlessly operate across distributed, heterogeneous infrastructures reducing costs, enhancing time to market for teams.
Multi Cloud Architecture with KubeSlice
Easy Application Connectivity across multi cloud clusters
Real-time, policy-based workload placement across cloud clusters
Monitoring and management of workload traffic across clusters
Multi cloud observability with metrics on traffic flow between clouds
Segmentation of applications by teams or releases across clusters and clouds
How does it work?
Avesha’s KubeSlice works with every Cloud and Kubernetes platform. It provides observability, resiliency, security and application-level connectivity for all applications in Kubernetes and VMs distributed across clouds and regions.
Register clusters in each cloud with Avesha Controller.
Create KubeSlices across clouds 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
