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Added Tinkerbell on Kubernetes Proposal
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--- | ||
id: 0025 | ||
title: Tinkerbell on Kubernetes | ||
status: ideation | ||
authors: Micah Hausler <[email protected]> | ||
--- | ||
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## Summary | ||
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This is a proposal to architect Tinkerbell as a Kubernetes native application. It is a rearchitecture of the 'control plane' backend, and leaves the 'data plane' components of Tink workers and actions unchanged. | ||
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## Goals and not Goals | ||
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Goals: | ||
* Compatibility with existing Tink workers, workflow execution, and actions. | ||
* More easily support non-request serving controllers in Tinkerbell. | ||
In this architecture, controllers like PBnJ could leverage Kubernetes primitives like [Custom Resource Definitions][crds] (CRDs), [WATCH APIs][watch], and [Field Management][fm] to complete workflow steps. | ||
* Migrate existing components of Hegel, Boots, and Tinkerbell API to use Kubernetes as the datastore | ||
* Reduce the security surface of the Tinkerbell API. | ||
Implementing multiple authorization modes is a non-trivial task. | ||
The fewer APIs, and authorization options, and lines of code that exist, the fewer opportunities there are for security issues to arise. | ||
Tinkerbell is a high-value component of data center infrastructure, so protection of DHCP infrastructure, BMC/IPMI management, needs to be treated as such. | ||
* Support a highly-available architecture. | ||
Postgres is a fantastic database, but managing high-availability with graceful failover is not trivial. | ||
Using an alternative data store that better supports failure would better help operators to have higher availability and not require downtime for upgrades or failover. | ||
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Non Goals: | ||
* Implement attribute-based authorization in Tink API. | ||
This is intentionally descoped from this proposal, but could be implemented in a separate proposal. | ||
* Require Tinkerbell to be operated as pods inside Kubernetes. | ||
The Kubernetes API would become a dependency of Tinkerbell, but that API could exist in a cloud provider or on-premise. | ||
* Require the use of Cluster API ([CAPI][capi]). | ||
The [Tinkerbell CAPI provider][capt] (CAPT) is mentioned in this proposal only for reference of a known Tinkerbell client. | ||
Implementation of this proposal will necessitate changes in CAPT, but that is not the core motivation for this proposal. | ||
* Implementation of PBnJ as a Kubernetes controller | ||
* Make the Tink worker a client of Kubernetes. | ||
Kubernetes doesn't natively support robust attribute-based identities for non-node identities. | ||
It does have the [Node Authorizer][node-authorizer], but that is specific to authorization of Kubelet communication to the Kubernetes API. | ||
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[crds]: https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/ | ||
[watch]: https://kubernetes.io/docs/reference/using-api/api-concepts/#efficient-detection-of-changes | ||
[fm]: https://kubernetes.io/docs/reference/using-api/server-side-apply/#field-management | ||
[capi]: https://cluster-api.sigs.k8s.io/ | ||
[capt]: https://github.com/tinkerbell/cluster-api-provider-tink | ||
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## Content | ||
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### Architectural Motivation | ||
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Tinkerbell is very flexible and uses standard protocols like PXE, DHCP, and HTTP to support provisioning hardware. | ||
In order to support more features, more API machinery work will be required. | ||
Listed below are some of the contributing architectural motivations. | ||
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* Streaming updates to clients is difficult with the current database | ||
* Multiple-worker workflows will require numerous API changes | ||
* There is no authorization in the Tinkerbell API today. | ||
In order to support a least-privilege access model, several new authorization modes would need to be supported | ||
* An attribute-based authorization method for Tink workers. | ||
At the time of writing, any Tink worker is authorized to list all hardware data, including possibly sensitive metadata for other hardware. | ||
Today, the Tinkerbell Cluster API (CAPI) provider stores machine CA private key data in Tinkerbell hardware metadata. | ||
Ideally, some authorizer that could make decisions based on authentication identity would be used (The Kubernetes analog would be the [Node Authorizer][node-authorizer]). | ||
The authenticatoin method in this model could be a network identity, a TPM, or some other bootstrapped authentication credential. | ||
* A role-based access method administrative clients. | ||
* Either a role-based access method, or some forwarding mechanism for passthrough clients like Boots and Hegel. | ||
* Operating high-availability Postgres is non-trivial in many environments. | ||
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[node-authorizer]: https://kubernetes.io/docs/reference/access-authn-authz/node/ | ||
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If we only focus on the Tinkerbell API clients as it exists in Q3 2021, the architecture looks something like the following: | ||
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[![current-architecture](./tink-arch-1.png)](.tink-arch-2.png) | ||
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In this proposal, all non-worker clients of Tinkerbell would become Kubernetes clients. | ||
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[![proposed-architecture](./tink-arch-2.png)](./tink-arch-2.png) | ||
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By using the Kubernetes API as the datastore, the motivations are addressed in the following ways: | ||
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* Kubernetes natively supports streaming watches for CRD types. | ||
Any process (PBnJ, Tink API, CAPT, etc) that need streaming updates can leverage Kubernetes Watches. | ||
* Multi-worker workflows will require some backend changes, but that will be opaque to Tink worker clients. | ||
* The only authorization mode required for the Tinkerbell API will be to support | ||
* All Kubernetes clients (Boots, Hegel, PBnJ, etc) can have least-permission RBAC policies to limit the permissions for each respective client. | ||
* High-availability Kubernetes and etcd can be delegated to a cloud provider or an on-premise Kubernetes cluster | ||
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### Tradeoffs | ||
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TODO | ||
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### User Experience | ||
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In order to use Tinkerbell, clients would interact with the Kubernetes API. In order to provision a machine, the steps would be: | ||
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1. User creates a Hardware CRD object in Kubernetes. | ||
This is analogous to the current `tink hardware push < hardware.json` command. | ||
1. User creates a Template CRD object in Kubernetes. | ||
This is analogous to the current `tink template create < template.json` command | ||
1. User creates a Workflow CRD object in Kubernetes. | ||
All the user would need to specify in the object `.spec` would be a reference to the Template object, and mappings for devices. | ||
This is analogous to the current `tink workflow create -t $TEMPLATE_ID -r "{\"device_1\":\"$MAC_ADDR\"}` command. | ||
1. The Tinkerbell API would include a Kubernetes workflow controller that would watch for created workflows, and fill out the `.status` with most of the logic that currently exists in the [`CreateWorkflow()`][createwfrpc] RPC. | ||
1. The Tinkerbell API could subscribe to Workflow CRD changes, and stream them on to Tinkerbell worker clients over the existing [`GetWorkflowContexts()`][getwfctxs] streaming RPC. | ||
1. Tinkerbell worker clients would continue to call the existing Tinkerbell APIs to execute workflows. | ||
The Tinkerbell API would store updates in a Workflow CRD `.status` | ||
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[createwfrpc]: https://github.com/tinkerbell/tink/blob/b217be8/grpc-server/workflow.go#L19-L72 | ||
[getwfctxs]: https://github.com/tinkerbell/tink/blob/a56e5cf9/protos/workflow/workflow.proto#L75 | ||
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## System-context-diagram | ||
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See above diagrams. | ||
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## APIs | ||
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The following [Tinkerbell Workflow APIs][wf-apis] are used by the Tink worker, and would remain. | ||
All other Tinkerbell APIs would be removed. | ||
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[wf-apis]: https://github.com/tinkerbell/tink/blob/f6aa3930/protos/workflow/workflow.proto | ||
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```protobuf | ||
service WorkflowService { | ||
rpc GetWorkflowContexts(WorkflowContextRequest) returns (stream WorkflowContext) {} | ||
rpc GetWorkflowActions(WorkflowActionsRequest) returns (WorkflowActionList) {} | ||
rpc ReportActionStatus(WorkflowActionStatus) returns (Empty) {} | ||
rpc GetWorkflowData(GetWorkflowDataRequest) returns (GetWorkflowDataResponse) {} | ||
rpc UpdateWorkflowData(UpdateWorkflowDataRequest) returns (Empty) {} | ||
} | ||
``` | ||
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The structure of the Kubernetes CRD types will start out with those defined in the [Tinkerbell CAPI Provider][capt-types]. The code defining those types would be migrated into the tinkerbell/tink GitHub repository so other clients could import the Go packages. | ||
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[capt-types]: https://github.com/tinkerbell/cluster-api-provider-tink/tree/main/tink/api/v1alpha1 | ||
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## Threat Model | ||
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### Actors | ||
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**Machines** | ||
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In this proposal, a machine is not trusted any more than in Tinkerbell's API today. | ||
By design, in this proposal machines will have decreased access than they do today, with access to the APIs listed above. | ||
As it is in Tinkerbell today, the network is trusted when provisioning hardware. | ||
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**Hegel** | ||
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Hegel will only require read-only access to Hardware CRDs in Kubernetes. | ||
RBAC policies would govern the level of access to the Kubernetes API. | ||
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Hegel will need to guard against confused-deputy attacks and not return metadata to the wrong client. | ||
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**Boots** | ||
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Boots will only require read-only access to Hardware CRDs in Kubernetes. | ||
RBAC policies would govern the level of access to the Kubernetes API. | ||
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**PBnJ** | ||
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PBnJ will require: | ||
* Read-only access to Hardware CRDs to discover management interface connectivity | ||
* Mutating access to Workflow CRDs to execute workflow steps like power cycling and BIOS management | ||
* Some level of secret access to connect to management interfaces. Implementation and design of that access is out of scope of this proposal. | ||
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**Tink API** | ||
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The Tinkerbell API will require: | ||
* Read access to Hardware CRDs in Kubernetes | ||
* Read access to Template CRDs in Kubernetes | ||
* Write access to Workflow CRDs in Kubernetes | ||
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**Tinkerbell Workflow Controller** | ||
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There will need to be a controller to process creation of workflows. It will need: | ||
* Read access to Hardware CRDs in Kubernetes | ||
* Read access to Template CRDs in Kubernetes | ||
* Write access to Workflow CRDs `.spec` in Kubernetes | ||
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**Tinkerbell Validating Webhook** | ||
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A validating webhook will be used to validate Templates and Workflows as they are created. | ||
It will not require any Kubernetes API access, but needs to be reachable by the Kubernetes API server. | ||
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**Tinkerbell Administrator** | ||
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Tinkerbell administrators might require varying levels of access in order to perform CRUD operations on any or all Tinkerbell types. | ||
Kubernetes cluster administrators can define custom levels of access with RBAC policies to grant Tinkerbell admins the correct least-privilege level of access. | ||
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## Alternatives | ||
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There are two primary alternatives to achieve some of the stated design goals: | ||
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Add a `--kubernetes-mode` flag to the Tinkerbell components and support two alternate modes: Tinkerbell as it exists today, and Tinkerbell on Kubernetes. | ||
This would allow two alternate deployment/database models for operators who do not want to introduce Kubernetes to their deployment model. | ||
The biggest disadvantage of this alternative would be added complexity in supporting two separate paths of the Tinkerbell codebase. | ||
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Leave the Tinkerbell API alone, and leverage/modify the Tinkerbell API's [internal Database interface][tink-db-iface] to function on top of Kubernetes or a key-value datastore like [etcd][etcd]. | ||
This alternative would help with high-availability deployments, but all the other motivations would remain unaddressed, and need to be implemented in Tinkerbell's API. | ||
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[tink-db-iface]: https://github.com/tinkerbell/tink/blob/0f46dc0/db/db.go#L21-L60 | ||
[etcd]: https://etcd.io/ |
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