KubeSlice

KubeSlice Manager (UI)

Smart Scaler

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Orchestrate VMs With K8s

Multi Cloud

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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

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

Orchestrate VMs & microservices at scale with a single platform

Orchestrate VMs with Kubernetes

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

Low Latency

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

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

FinOps

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

Resiliency

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KubeSlice achieves multi-cluster database resiliency across Kubernetes clusters in multi-cloud and hybrid-cloud deployments

It simplifies multi-cluster connectivity, enables secure communication between DB replica set members, and creates virtual overlay networks to allow seamless communication across clusters, clouds, edges, and data centers. 

It enables FQDN/DNS-based communication across geographically distributed Kubernetes clusters without requiring Istio or any other service mesh.

It supports several deployment models for distributing databases: Single cloud/data center for high availability, active/standby for DR in multiple clouds/data centers, active/active "sharding based" deployment for HA/scalability in multiple clouds/data centers, and primary/secondary replica sets for DR in multiple clouds/data centers.

Multi Cloud Database Resiliency

KubeSlice enables cloud bursting by providing seamless connectivity between data centers and edge:

Application-level connectivity is established within minutes, improving performance and reducing latency for low latency applications like gaming.

Connectivity is secure and meets application SLAs and DevSecOps requirements.

Advanced resource optimization capabilities result in cost savings of up to 30% and enable seamless user experiences during peak periods without sacrificing performance or increasing costs.

Cloud Bursting for Gaming

KubeSlice provides efficient ETL processes by creating secure communication channels for ETL data flows in a dynamic and automated manner. Key features include:

Low latency data transfer between Kubernetes clusters in different regions

Bandwidth guarantees and secure east-west connectivity via KubeSlice overlay network

Single pane of glass for control and visibility into multiple clusters, making management of distributed ETL workloads seamless.

Multi Cluster ETL Workflows

Smart Scaler uses AI & Reinforcement Learning(RL) to optimize Kubernetes resources while reducing the cloud carbon footprint.

It predicts demand and scales resources accordingly to avoid over-provisioning and wasted energy

It makes data-driven decisions on resource allocation 

It continuously optimizes pod numbers, reducing energy used by idle resources

Reducing Carbon Footprint in the Cloud

Smart Scaler is an intelligent auto-scaling solution that helps organizations reduce cloud costs by up to 70% by predicting demand ahead of time and scaling resources accordingly.

It uses AI and Reinforcement Learning (RL) to optimize K8s resource allocations

It predicts traffic based on learned patterns and avoids under or over-provisioning of resources

It works in multi-cluster, multi-cloud environments

It proactively scales pods up or down based on variations in demand and eliminates manual intervention

It reduces carbon footprint while maintaining application SLAs 

Its autonomous nature increases deployment velocity by freeing up DevOps time

Reducing Cloud Costs by up to 70%

Smart Scaler for the first time leverages AI & Reinforcement Learning (RL) to guarantee Service Level Agreements (SLAs) for cloud applications by precisely scaling Kubernetes resources. 

Its predictive capabilities prevent any decline in application performance.

Its precise scaling eliminates underutilization or overprovisioning of resources.

RL accurately predicts microservice behavior and estimates K8s resource allocations, resulting in an intelligent HPA.

Guarantee SLAs in the Cloud

KubeSlice enables distributed application architecture, helping SaaS companies overcome upload challenges that can frustrate customers and negatively impact the user experience.

It enables distributed application architecture with secure data transfer across multiple locations, ensuring smooth uploads for customers.

KubeSlice optimizes upload performance with overlay network tunnels.

The UI enables real-time monitoring for issue resolution.

It automates and streamlines upload workflows for multi-cluster and multi-cloud  deployments.

It supports multi-cloud and hybrid cloud environments for resiliency and disaster recovery.

Improving Saas Upload Performance

DevPro Journal Features Avesha: Three Ways to Reduce the Carbon Footprint of Kubernetes 

Join Avesha at KubeCon + CloudNativeCon North America 2023

Avesha named to the 100 Edge computing companies to watch in 2023