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feat(docs): add documentation
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README.md

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With this solution, the resiliency is guaranteed by the usual `etcd` mechanism, and the pods' count remains under control, so it solves the main goal of resiliency and costs optimization. The trade-off here is that we have to operate an external `etcd` cluster and manage the access to be sure that each tenant cluster uses only its data. Also, there are limits in size in `etcd`, defaulted to 2GB and configurable to a maximum of 8GB. We’re solving this issue by pooling multiple `etcd` and sharding the tenant control planes.
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## Use cases
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Kamaji project has been initially started as a solution for actual and common problems such as minimizing the Total Cost of Ownership - TCO while running Kubernetes at scale. However, it can open a wider range of use cases. Here are a few:
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Kamaji project has been initially started as a solution for actual and common problems such as minimizing the Total Cost of Ownership while running Kubernetes at scale. However, it can open a wider range of use cases. Here are a few:
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### Managed Kubernetes
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Enabling companies to provide Cloud Native Infrastructure with ease by introducing a strong separation of concerns between management and workloads. Centralize clusters management, monitoring, and observability by leaving developers to focus on the applications, increase productivity and reduce operational costs.
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## Roadmap
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- [ ] Benchmarking and stress-test
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- [ ] Support for dynamic address allocation on native Load Balancer
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- [x] Support for dynamic address allocation on native Load Balancer
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- [x] Zero Downtime Tenant Control Plane upgrade
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- [ ] `konnectivity` integration
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- [ ] Provisioning of Tenant Control Plane through Cluster APIs
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Q. So I need a costly cloud infrastructure to try Kamaji?
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A. No, it is possible to try Kamaji on your laptop with [KinD](./deploy/kind/README.md). We're porting it also on Canonical MicroK8s as an add-on, _tbd_.
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A. No, it is possible to try Kamaji on your laptop with [KinD](./deploy/kind/README.md).

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