Sourcegraph on Kubernetes with Kustomize
Best for large enterprises that require a multi-node, self-hosted solution and prefer to use the Kustomize deployment type.
Getting Started
Below is an overview of installing Sourcegraph on Kubernetes using Kustomize.
Prerequisites
- kubectl (v1.19 or later) with Kustomize (built into kubectl in version >= 1.14)
- A Kubernetes cluster (v1.19 or later)
- Support for Persistent Volumes with SSDs
- You can optionally refer to our terraform configurations for setting up clusters on:
- Amazon Web Services EKS
- Azure AKS
- Google Cloud Platform GKE
v4.5.0
or hasn't migrated to deploy-sourcegraph-k8s
, please refer to the legacy deployment docs for Kubernetes.Step 1: Set up a release branch
Create a release branch from the default branch (or an available tag) in your local fork of the deploy-sourcegraph-k8s repository.
See the docs on reference repository for detailed instructions on creating a local fork.
BASH# Recommended: replace the URL with your private fork $ git clone https://github.com/sourcegraph/deploy-sourcegraph-k8s.git $ cd deploy-sourcegraph-k8s $ git checkout v5.6.2535 && git checkout -b release
Step 2: Set up a directory for your instance
Create a copy of the instances/template directory and rename it to instances/my-sourcegraph
:
BASH$ cp -R instances/template instances/my-sourcegraph
Step 3: Set up the configuration files
1. Rename the kustomization.template.yaml file in instances/my-sourcegraph
to kustomization.yaml
.
- The
kustomization.yaml
file is used to configure your Sourcegraph instance.
BASH$ mv instances/my-sourcegraph/kustomization.template.yaml instances/my-sourcegraph/kustomization.yaml
2. Rename the buildConfig.template.yaml file in instances/my-sourcegraph
to buildConfig.yaml
.
- The
buildConfig.yaml
file is used to configure components included in yourkustomization
file if required.
BASH$ mv instances/my-sourcegraph/buildConfig.template.yaml instances/my-sourcegraph/buildConfig.yaml
Step 4: Set a namespace
By default, the provided kustomization.yaml
template deploys Sourcegraph into the ns-sourcegraph
namespace.
If you intend to deploy Sourcegraph into a different namespace, replace ns-sourcegraph
with the name of the existing namespace in your cluster, or set it to default
to deploy into the default namespace.
YAML# instances/my-sourcegraph/kustomization.yaml namespace: sourcegraph
Step 5: Set a storage class
A storage class must be created and configured before deploying Sourcegraph. SSD storage is not required but is strongly recommended for optimal performance.
Option 1: Create a new storage class
We recommend using a preconfigured storage class component for your cloud provider if you can create cluster-wide resources:
YAML# instances/my-sourcegraph/kustomization.yaml components: # Select a component that corresponds to your cluster provider - ../../components/storage-class/aws/aws-ebs - ../../components/storage-class/aws/ebs-csi - ../../components/storage-class/azure - ../../components/storage-class/gke
See our configurations guide for the full list of available storage class components.
Option 2: Use an existing storage class
If you cannot create a new storage class and/or want to use an existing one with SSDs:
Show instruction
1. Include the storage-class/name-update
component under the components list
YAML# instances/my-sourcegraph/kustomization.yaml components: # This updates storageClassName to # the STORAGECLASS_NAME value from buildConfig.yaml - ../../components/storage-class/name-update
2. Input the storage class name by setting the value of STORAGECLASS_NAME
in buildConfig.yaml
.
For example, set STORAGECLASS_NAME=sourcegraph
if sourcegraph
is the name of an existing storage class:
YAML# instances/my-sourcegraph/buildConfig.yaml kind: ConfigMap metadata: name: sourcegraph-kustomize-build-config data: STORAGECLASS_NAME: sourcegraph # -- [ACTION] Update storage class name here
Option 3: Use default storage class
Skip this step to use the default storage class without SSD support for non-production environments. However, you must recreate the cluster with SSDs configured for production environments later.
Step 6: Build manifests with Kustomize
Generate a new set of manifests locally using the configuration applied to the my-sourcegraph
subdirectory without applying to the cluster.
BASH$ kubectl kustomize instances/my-sourcegraph -o cluster.yaml
Step 7: Review manifests
Review the generated manifests to ensure they match your intended configuration.
BASH$ less cluster.yaml
Step 8: Deploy the generated manifests
Apply the manifests from the output file cluster.yaml
to your cluster:
BASH$ kubectl apply --prune -l deploy=sourcegraph -f cluster.yaml
Step 9: Monitor the deployment
Monitor the deployment status to ensure all components are running properly.
BASH$ kubectl get pods -A -o wide --watch
Step 10: Access Sourcegraph in Browser
To verify that the deployment was successful, port-forward the frontend pod with the following command:
BASH$ kubectl port-forward svc/sourcegraph-frontend 3080:30080
Then access your new Sourcegraph instance at http://localhost:3080 to proceed to the site-admin setup step.
BASH$ open http://localhost:3080
Configure
After the initial deployment, additional configuration might be required for Sourcegraph to customize your deployment to suit your specific needs.
Common configurations that are strongly recommended for all Sourcegraph deployments:
- Enable the Sourcegraph monitoring stack
- Enable tracing
- Adjust resource allocations
- Adjust storage sizes
- Configure ingress
- Enable TLS
Other common configurations include:
See the configuration guide for Kustomize for more configuration options.
Learn more
- Scaling Sourcegraph on Kubernetes
- Examples of deploying Sourcegraph to the cloud provider listed below:
- Amazon EKS
- Google GKE
- Migration guide on migrating from deploy-sourcegraph to deploy-sourcegraph-k8s
- Other deployment options
- Troubleshooting