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