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:
|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.|
Enables application connectivity across clusters/clouds with zero touch provisioning.
Constructs virtual clusters across physical clusters by establishing an overlay network.
Guarantees the ability to dependably run high-priority applications and traffic with QoS configuration for inter-cluster network connections.
Define QoS profiles on a per slice basis; thus providing the ability to isolate microservices on one Slice from another.
Auto deploys network policies across clusters participating in the slice configuration, marshaling configuration drift.
Ensures namespace sameness on a Slice across multi-cluster/cloud.
Enables the aggregation of a group of namespaces across clusters thus allowing segmentation for multi-tenancy.
RBAC functionality is propagated across all clusters participating in the Slice configuration.
Auto discovery of services
Enables automatic service discovery across clusters participating in the Slice configuration.
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
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.
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.