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contributors/design-proposals/aggregated-api-servers.md
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# Aggregated API Servers | ||
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## Abstract | ||
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We want to divide the single monolithic API server into multiple aggregated | ||
servers. Anyone should be able to write their own aggregated API server to expose APIs they want. | ||
Cluster admins should be able to expose new APIs at runtime by bringing up new | ||
aggregated servers. | ||
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## Motivation | ||
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* Extensibility: We want to allow community members to write their own API | ||
servers to expose APIs they want. Cluster admins should be able to use these | ||
servers without having to require any change in the core kubernetes | ||
repository. | ||
* Unblock new APIs from core kubernetes team review: A lot of new API proposals | ||
are currently blocked on review from the core kubernetes team. By allowing | ||
developers to expose their APIs as a separate server and enabling the cluster | ||
admin to use it without any change to the core kubernetes repository, we | ||
unblock these APIs. | ||
* Place for staging experimental APIs: New APIs can be developed in separate | ||
aggregated servers, and installed only by those willing to take the risk of | ||
installing an experimental API. One they are stable, it is then easy to | ||
package them up for installation in other clusters. | ||
* Ensure that new APIs follow kubernetes conventions: Without the mechanism | ||
proposed here, community members might be forced to roll their own thing which | ||
may or may not follow kubernetes conventions. | ||
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## Goal | ||
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* Developers should be able to write their own API server and cluster admins | ||
should be able to add them to their cluster, exposing new APIs at runtime. All | ||
of this should not require any change to the core kubernetes API server. | ||
* These new APIs should be seamless extension of the core kubernetes APIs (ex: | ||
they should be operated upon via kubectl). | ||
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## Non Goals | ||
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The following are related but are not the goals of this specific proposal: | ||
* Make it easy to write a kubernetes API server. | ||
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## High Level Architecture | ||
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There will be a new component in the cluster, `kube-aggregator`, which has these | ||
responsibilities: | ||
* Provide an API for registering API servers. | ||
* Summarize discovery information from all the servers. | ||
* Proxy client requests to individual servers. | ||
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The reverse proxy is provided for convenience. Clients can discover server URLs | ||
using the summarized discovery information and contact them directly. Simple | ||
clients can always use the proxy and don't need to know that under the hood | ||
multiple apiservers are running. | ||
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Wording note: When we say "API servers" we really mean groups of apiservers, | ||
since any individual apiserver is horizontally replicatable. Similarly, | ||
kube-aggregator itself is horizontally replicatable. | ||
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## Operational configurations | ||
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There are two configurations in which it makes sense to run `kube-aggregator`. | ||
1. In **test mode**/**single-user mode**. An individual developer who wants to test | ||
their own apiserver could run their own private copy of `kube-aggregator`, | ||
configured such that only they can interact with it. This allows for testing | ||
both `kube-aggregator` and any custom apiservers without the potential for | ||
causing any collateral damage in the rest of the cluster. Unfortunately, in | ||
this configuration, `kube-aggregator`'s built in proxy will lack the client | ||
cert that allows it to perform authentication that the rest of the cluster | ||
will trust, so its functionality will be somewhat limited. | ||
2. In **gateway mode**. Each cluster should run kube-aggregator as the official | ||
gateway to the cluster, where it aggregates all of the apiservers the cluster | ||
administer wishes to provide. This configuration is the intended usage of | ||
`kube-aggregator`. | ||
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### Constraints | ||
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* Unique API group versions across servers: Each API server (and groups of servers, in HA) | ||
should expose unique API group versions. So, for example, you can serve | ||
`api.mycompany.com/v1` from one apiserver and the replacement | ||
`api.mycompany.com/v2` from another apiserver while you update clients. But | ||
you can't serve `api.mycompany.com/v1/frobbers` and | ||
`api.mcompany.com/v1/grobinators` from different apiservers. This restriction | ||
allows us to limit the scope of `kube-aggregator` to a managable level. | ||
* Follow API conventions: APIs exposed by every API server should adhere to [kubernetes API | ||
conventions](../devel/api-conventions.md). | ||
* Support discovery API: Each API server should support the kubernetes discovery API | ||
(list the suported groupVersions at `/apis` and list the supported resources | ||
at `/apis/<groupVersion>/`) | ||
* No bootstrap problem: The core kubernetes apiserver must not depend on any | ||
other aggregated server to come up. Non-core apiservers may use other non-core | ||
apiservers, but must not fail in their absence. | ||
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## Component Dependency Order | ||
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`kube-aggregator` is not part of the core `kube-apiserver`. | ||
The dependency order (for the cluster gateway configuration) looks like this: | ||
1. `etcd` | ||
2. `kube-apiserver` | ||
3. core scheduler, kubelet, service proxy (enough stuff to create a pod, run it on a node, and find it via service) | ||
4. `kubernetes-aggregator` as a pod/service - default summarizer and proxy | ||
5. controllers | ||
6. other API servers and their controllers | ||
7. clients, web consoles, etc | ||
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Nothing below the `kubernetes-aggregator` can rely on the aggregator or proxy | ||
being present. `kubernetes-aggregator` should be runnable as a pod backing a | ||
service in a well-known location. Something like `api.kube-public.svc` or | ||
similar seems appropriate since we'll want to allow network traffic to it from | ||
every other namespace in the cluster. We recommend using a dedicated namespace, | ||
since compromise of that namespace will expose the entire cluster: the | ||
proxy has the power to act as any user against any API server. | ||
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## Implementation Details | ||
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### Summarizing discovery information | ||
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We can have a very simple Go program to summarize discovery information from all | ||
servers. Cluster admins will register each aggregated API server (its baseURL and swagger | ||
spec path) with the proxy. The proxy will summarize the list of all group versions | ||
exposed by all registered API servers with their individual URLs at `/apis`. | ||
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### Reverse proxy | ||
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We can use any standard reverse proxy server like nginx or extend the same Go program that | ||
summarizes discovery information to act as reverse proxy for all aggregated servers. | ||
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Cluster admins are also free to use any of the multiple open source API management tools | ||
(for example, there is [Kong](https://getkong.org/), which is written in lua and there is | ||
[Tyk](https://tyk.io/), which is written in Go). These API management tools | ||
provide a lot more functionality like: rate-limiting, caching, logging, | ||
transformations and authentication. | ||
In future, we can also use ingress. That will give cluster admins the flexibility to | ||
easily swap out the ingress controller by a Go reverse proxy, nginx, haproxy | ||
or any other solution they might want. | ||
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`kubernetes-aggregator` uses a simple proxy implementation alongside its discovery information | ||
which supports connection upgrade (for `exec`, `attach`, etc) and runs with delegated | ||
authentication and authorization against the core `kube-apiserver`. As a proxy, it adds | ||
complete user information, including user, groups, and "extra" for backing API servers. | ||
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### Storage | ||
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Each API server is responsible for storing their resources. They can have their | ||
own etcd or can use kubernetes server's etcd using [third party | ||
resources](../design/extending-api.md#adding-custom-resources-to-the-kubernetes-api-server). | ||
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### Health check | ||
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Kubernetes server's `/api/v1/componentstatuses` will continue to report status | ||
of master components that it depends on (scheduler and various controllers). | ||
Since clients have access to server URLs, they can use that to do | ||
health check of individual servers. | ||
In future, if a global health check is required, we can expose a health check | ||
endpoint in the proxy that will report the status of all aggregated api servers | ||
in the cluster. | ||
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### Auth | ||
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Since the actual server which serves client's request can be opaque to the client, | ||
all API servers need to have homogeneous authentication and authorisation mechanisms. | ||
All API servers will handle authn and authz for their resources themselves. | ||
The current authentication infrastructure allows token authentication delegation to the | ||
core `kube-apiserver` and trust of an authentication proxy, which can be fullfilled by | ||
`kubernetes-aggregator`. | ||
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#### Server Role Bootstrapping | ||
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External API servers will often have to provide roles for the resources they | ||
provide to other API servers in the cluster. This will usually be RBAC | ||
clusterroles, RBAC clusterrolebindings, and apiaggregation types to describe | ||
their API server. The external API server should *never* attempt to | ||
self-register these since the power to mutate those resources provides the | ||
power to destroy the cluster. Instead, there are two paths: | ||
1. the easy path - In this flow, the API server supports a `/bootstrap/<group>` endpoint | ||
which provides the resources that can be piped to a `kubectl create -f` command a cluster-admin | ||
can use those endpoints to prime other servers. | ||
2. the reliable path - In a production cluster, you generally want to know, audit, and | ||
track the resources required to make your cluster work. In these scenarios, you want | ||
to have the API resource list ahead of time. API server authors can provide a template. | ||
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Nothing stops an external API server from supporting both. | ||
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### kubectl | ||
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kubectl will talk to `kube-aggregator`'s discovery endpoint and use the discovery API to | ||
figure out the operations and resources supported in the cluster. | ||
We will need to make kubectl truly generic. Right now, a lot of operations | ||
(like get, describe) are hardcoded in the binary for all resources. A future | ||
proposal will provide details on moving those operations to server. | ||
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Note that it is possible for kubectl to talk to individual servers directly in | ||
which case proxy will not be required at all, but this requires a bit more logic | ||
in kubectl. We can do this in future, if desired. | ||
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### Handling global policies | ||
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Now that we have resources spread across multiple API servers, we need to | ||
be careful to ensure that global policies (limit ranges, resource quotas, etc) are enforced. | ||
Future proposals will improve how this is done across the cluster. | ||
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#### Namespaces | ||
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When a namespaced resource is created in any of the aggregated server, that | ||
server first needs to check with the kubernetes server that: | ||
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* The namespace exists. | ||
* User has authorization to create resources in that namespace. | ||
* Resource quota for the namespace is not exceeded. | ||
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To prevent race conditions, the kubernetes server might need to expose an atomic | ||
API for all these operations. | ||
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While deleting a namespace, kubernetes server needs to ensure that resources in | ||
that namespace maintained by other servers are deleted as well. We can do this | ||
using resource [finalizers](../design/namespaces.md#finalizers). Each server | ||
will add themselves in the set of finalizers before they create a resource in | ||
the corresponding namespace and delete all their resources in that namespace, | ||
whenever it is to be deleted (kubernetes API server already has this code, we | ||
will refactor it into a library to enable reuse). | ||
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Future proposal will talk about this in more detail and provide a better | ||
mechanism. | ||
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#### Limit ranges and resource quotas | ||
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kubernetes server maintains [resource quotas](../admin/resourcequota/README.md) and | ||
[limit ranges](../admin/limitrange/README.md) for all resources. | ||
Aggregated servers will need to check with the kubernetes server before creating any | ||
resource. | ||
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## Methods for running on hosted kubernetes clusters | ||
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Where "hosted" means the cluster users have very limited or no permissions to | ||
change the control plane installation, for example on GKE, where it is managed | ||
by Google. There are three ways of running on such a cluster:. | ||
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1. `kube-aggregator` will run in the single-user / test configuration on any | ||
installation of Kubernetes, even if the user starting it only has permissions | ||
in one namespace. | ||
2. Just like 1 above, if all of the users can agree on a location, then they | ||
can make a public namespace and run a copy of `kube-aggregator` in that | ||
namespace for everyone. The downside of running like this is that none of the | ||
cluster components (controllers, nodes, etc) would be going through this | ||
kube-aggregator. | ||
3. The hosted cluster provider can integrate `kube-aggregator` into the | ||
cluster. This is the best configuration, but it may take a quarter or two after | ||
`kube-aggregator` is ready to go for providers to complete this integration. | ||
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## Alternatives | ||
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There were other alternatives that we had discussed. | ||
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* Instead of adding a proxy in front, let the core kubernetes server provide an | ||
API for other servers to register themselves. It can also provide a discovery | ||
API which the clients can use to discover other servers and then talk to them | ||
directly. But this would have required another server API a lot of client logic as well. | ||
* Validating aggregated servers: We can validate new servers when they are registered | ||
with the proxy, or keep validating them at regular intervals, or validate | ||
them only when explicitly requested, or not validate at all. | ||
We decided that the proxy will just assume that all the servers are valid | ||
(conform to our api conventions). In future, we can provide conformance tests. | ||
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## Future Work | ||
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* Validate servers: We should have some conformance tests that validate that the | ||
servers follow kubernetes api-conventions. | ||
* Provide centralised auth service: It is very hard to ensure homogeneous auth | ||
across multiple aggregated servers, especially in case of hosted clusters | ||
(where different people control the different servers). We can fix it by | ||
providing a centralised authentication and authorization service which all of | ||
the servers can use. | ||
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