183 lines
7.5 KiB
Markdown
183 lines
7.5 KiB
Markdown
---
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stage: Configure
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group: Configure
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info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#designated-technical-writers
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---
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# Kubernetes integration - development guidelines
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This document provides various guidelines when developing for GitLab's
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[Kubernetes integration](../user/project/clusters/index.md).
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## Development
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### Architecture
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Some Kubernetes operations, such as creating restricted project
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namespaces are performed on the GitLab Rails application. These
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operations are performed using a [client library](#client-library),
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and carry an element of risk. The operations are
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run as the same user running the GitLab Rails application. For more information,
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read the [security](#security) section below.
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Some Kubernetes operations, such as installing cluster applications are
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performed on one-off pods on the Kubernetes cluster itself. These
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installation pods are named `install-<application_name>` and
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are created within the `gitlab-managed-apps` namespace.
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In terms of code organization, we generally add objects that represent
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Kubernetes resources in
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[`lib/gitlab/kubernetes`](https://gitlab.com/gitlab-org/gitlab-foss/tree/master/lib/gitlab/kubernetes).
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### Client library
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We use the [`kubeclient`](https://rubygems.org/gems/kubeclient) gem to
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perform Kubernetes API calls. As the `kubeclient` gem does not support
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different API Groups (such as `apis/rbac.authorization.k8s.io`) from a
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single client, we have created a wrapper class,
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[`Gitlab::Kubernetes::KubeClient`](https://gitlab.com/gitlab-org/gitlab/blob/master/lib/gitlab/kubernetes/kube_client.rb)
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that enable you to achieve this.
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Selected Kubernetes API groups are supported. Do add support
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for new API groups or methods to
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[`Gitlab::Kubernetes::KubeClient`](https://gitlab.com/gitlab-org/gitlab/blob/master/lib/gitlab/kubernetes/kube_client.rb)
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if you need to use them. New API groups or API group versions can be
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added to `SUPPORTED_API_GROUPS` - internally, this creates an
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internal client for that group. New methods can be added as a delegation
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to the relevant internal client.
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### Performance considerations
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All calls to the Kubernetes API must be in a background process. Don't
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perform Kubernetes API calls within a web request. This blocks
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Unicorn, and can lead to a denial-of-service (DoS) attack in GitLab as
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the Kubernetes cluster response times are outside of our control.
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The easiest way to ensure your calls happen a background process is to
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delegate any such work to happen in a [Sidekiq worker](sidekiq_style_guide.md).
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You may want to make calls to Kubernetes and return the response, but a background
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worker isn't a good fit. Consider using
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[reactive caching](https://gitlab.com/gitlab-org/gitlab/blob/master/app/models/concerns/reactive_caching.rb).
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For example:
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```ruby
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def calculate_reactive_cache!
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{ pods: cluster.platform_kubernetes.kubeclient.get_pods }
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end
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def pods
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with_reactive_cache do |data|
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data[:pods]
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end
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end
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```
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### Testing
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We have some WebMock stubs in
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[`KubernetesHelpers`](https://gitlab.com/gitlab-org/gitlab/blob/master/spec/support/helpers/kubernetes_helpers.rb)
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which can help with mocking out calls to Kubernetes API in your tests.
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### Amazon EKS integration
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This section outlines the process for allowing a GitLab instance to create EKS clusters.
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The following prerequisites are required:
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A `Customer` AWS account. The EKS cluster is created in this account. The following
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resources must be present:
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- A provisioning role that has permissions to create the cluster
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and associated resources. It must list the `GitLab` AWS account
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as a trusted entity.
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- A VPC, management role, security group, and subnets for use by the cluster.
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A `GitLab` AWS account. This is the account which performs
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the provisioning actions. The following resources must be present:
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- A service account with permissions to assume the provisioning
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role in the `Customer` account above.
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- Credentials for this service account configured in GitLab via
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the `kubernetes` section of `gitlab.yml`.
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The process for creating a cluster is as follows:
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1. Using the `:provision_role_external_id`, GitLab assumes the role provided
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by `:provision_role_arn` and stores a set of temporary credentials on the
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provider record. By default these credentials are valid for one hour.
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1. A CloudFormation stack is created, based on the
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[`AWS CloudFormation EKS template`](https://gitlab.com/gitlab-org/gitlab/blob/master/vendor/aws/cloudformation/eks_cluster.yaml).
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This triggers creation of all resources required for an EKS cluster.
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1. GitLab polls the status of the stack until all resources are ready,
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which takes somewhere between 10 and 15 minutes in most cases.
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1. When the stack is ready, GitLab stores the cluster details and generates
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another set of temporary credentials, this time to allow connecting to
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the cluster via `kubeclient`. These credentials are valid for one minute.
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1. GitLab configures the worker nodes so that they are able to authenticate
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to the cluster, and creates a service account for itself for future operations.
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1. Credentials that are no longer required are removed. This deletes the following
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attributes:
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- `access_key_id`
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- `secret_access_key`
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- `session_token`
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## Security
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### Server Side Request Forgery (SSRF) attacks
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As URLs for Kubernetes clusters are user controlled it is easily
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susceptible to Server Side Request Forgery (SSRF) attacks. You should
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understand the mitigation strategies if you are adding more API calls to
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a cluster.
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Mitigation strategies include:
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1. Not allowing redirects to attacker controller resources:
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[`Kubeclient::KubeClient`](https://gitlab.com/gitlab-org/gitlab/blob/master/lib/gitlab/kubernetes/kube_client.rb#)
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can be configured to disallow any redirects by passing in
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`http_max_redirects: 0` as an option.
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1. Not exposing error messages: by doing so, we
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prevent attackers from triggering errors to expose results from
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attacker controlled requests. For example, we do not expose (or store)
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raw error messages:
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```ruby
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rescue Kubernetes::HttpError => e
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# bad
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# app.make_errored!("Kubernetes error: #{e.message}")
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# good
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app.make_errored!("Kubernetes error: #{e.error_code}")
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```
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## Debugging Kubernetes integrations
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Logs related to the Kubernetes integration can be found in
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[`kubernetes.log`](../administration/logs.md#kuberneteslog). On a local
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GDK install, these logs are present in `log/kubernetes.log`.
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Some services such as
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[`Clusters::Applications::InstallService`](https://gitlab.com/gitlab-org/gitlab/blob/master/app/services/clusters/applications/install_service.rb#L18)
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rescues `StandardError` which can make it harder to debug issues in an
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development environment. The current workaround is to temporarily
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comment out the `rescue` in your local development source.
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You can also follow the installation logs to debug issues related to
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installation. Once the installation/upgrade is underway, wait for the
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pod to be created. Then run the following to obtain the pods logs as
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they are written:
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```shell
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kubectl logs <pod_name> --follow -n gitlab-managed-apps
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```
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## GitLab Managed Apps
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GitLab provides [GitLab Managed Apps](../user/clusters/applications.md), a one-click
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install for various applications which can be added directly to your configured cluster.
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**<i class="fa fa-youtube-play youtube" aria-hidden="true"></i>
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For an overview of how to add a new GitLab-managed app, see
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[How to add GitLab-managed-apps to Kubernetes integration](https://youtu.be/mKm-jkranEk).**
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