Key Features

KubeSlice makes Kubernetes simple at scale for multi cluster/multi-tenant/ multi-region/multi-cloud application deployments. It is a platform that combines network, application, Kubernetes, and deployment services to bring uniformity across clusters for multi-cluster applications, thus dramatically increasing development velocity for platform and product teams.

KubeSlice bundles the following services into its architecture:

Services	Feature	Description
Application	Namespace sameness	Allows the freedom to deploy applications across clusters with namespace parity.
	Service exports and Service imports	Automatic service imports and exports allow service discovery across cluster boundaries.
	Isolation	Allows isolation by association of application namespaces with a slice.-
Network	East-West cluster communication	Enabled by automatically creating tunnels between clusters, on a per slice basis, establishing an overlay network enabling service-to-service communication as a flat Layer 3 network. KubeSlice can also be configured to utilize East-West ingress and egress gateways.
	Remove IP Addressing Complexity-	KubeSlice solves the complex problem of overlapping IP addressing between clusters across cloud providers, data centers, and edge locations. The overlay network is configured with a non-overlapping RFC1918 address space removing overlapping CNI CIDR concerns.
	QoS Profiling	Slices in a cluster have a QoS profile defined per slice, allowing granular traffic control between clusters.
Security	Cross cluster Layer 3 secure connectivity	KubeSlice gateway nodes establish encrypted VPN tunnels between all registered clusters.
	Network Policy Management	KubeSlice provides Network Policies that are normalized across all clusters. The clusters registered in the slice configuration can be tied to a slice forming network segmentation at Layer 3 that allow/deny traffic to applications external from the slice application and allowed namespaces.
	Multi-Tenancy	KubeSlice manages namespaces that are associated with a slice, creating application isolation and reducing the blast radius.

Multi-Cluster Support

Application Connectivity

Enables application connectivity across clusters/clouds with zero touch provisioning.

Virtual Overlay

Constructs virtual clusters across physical clusters by establishing an overlay network.

Traffic Prioritization

Guarantees the ability to dependably run high-priority applications and traffic with QoS configuration for inter-cluster network connections.

Multi-Tenancy Support

App Segmentation

Define QoS profiles on a per slice basis; thus providing the ability to isolate microservices on one Slice from another.

Network Policies

Auto deploys network policies across clusters participating in the slice configuration, marshaling configuration drift.

Namespace sameness

Multi-cluster namespace

Ensures namespace sameness on a Slice across multi-cluster/cloud.

Multi-cluster

Enables the aggregation of a group of namespaces across clusters thus allowing segmentation for multi-tenancy.

Access Controls

RBAC functionality is propagated across all clusters participating in the Slice configuration.

Service Discovery

Auto discovery of services

Enables automatic service discovery across clusters participating in the Slice configuration.

DNS Entry

When a service is exported on the Slice by installing a Service Export object, the Slice Operator creates a DNS entry for the service in the Slice DNS and a similar entry is created in the other clusters that are a part of the Slice.

IP Address Management

IP Address Management (IPAM) is a method of planning, tracking, and managing the IP address space used in a network. On the KubeSlice Manager, the Maximum Clusters parameter of the slice creation page helps with IPAM. The corresponding YAML parameter is maxClusters.

This parameter sets the maximum number of worker clusters that you can connect to a slice. The maximum number of worker clusters affects the subnet calculation of a worker cluster. The subnet in turn determines the number of host addresses a worker cluster gets for its application pods.

For example, if the slice subnet is 10.1.0.0/16 and the maximum number of clusters is 16, then each cluster gets a subnet of 10.1.x.0/20, where x = 0, 16, or 32.

This is a significant parameter that can only be configured during slice creation. If this parameter is not set, it defaults to 16.

caution

The subnet of a worker cluster determines the number of host addresses that are available to that cluster. Hence, you must be prudent and cautious when you set the maximum worker clusters. The value of the maximum number of clusters set remains constant for the entire life of a slice, and it is immutable after a slice is created.

The fewer the clusters, the more IP addresses are available for the application pods of every worker cluster that is part of a slice. By default, the value of the Maximum Clusters parameter is 16. The supported value range is 2 to 32 clusters.