KubeSlice

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Edge To Cloud in Real-Time

 Achieve 100% Operational Availability

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Enables creation of a virtual cluster that allows pods to be directly interconnected across distributed clusters.

Observability & manageability for single & multiple clusters

Reduce your cloud costs from 20-70% with continuous predictive autoscaling of Kubernetes resources driven by AI

Revolutionize your infrastructure with our AI and RL-powered Global Load Balancer

Smart Traffic Director

Orchestrate VMs & microservices at scale with a single platform

Orchestrate VMs with Kubernetes

Avesha’s KubeSlice enables management, control, connectivity and workload placement.

Modernize with Hybrid Cloud as we seamlessly connect workloads between private data centers and clouds.

Enable real time movement of workloads between cloud and edge enabling low latency use cases like gaming or medical AI.

Low Latency

Achieve the best in cloud optimization through a split-stack across clusters.

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Avesha’s KubeSlice offers superior resiliency as it doesn't have the limitation of needing the failover of the entire stack.

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In this report we evaluate five edge computing use cases that are strong potential areas of focus, and evaluate the maturity, benefits and challenges of addressing each.

The market outlook for edge computing: evaluating five key use cases