Sourcegraph Data Center is configured by applying Kubernetes YAML files and simple kubectl
commands.
Since everything is vanilla Kubernetes, you can configure Sourcegraph as flexibly as you need to meet the requirements of your deployment environment. We provide simple instructions for common things like setting up TLS, enabling code intelligence, and exposing Sourcegraph to external traffic below.
We recommend you fork this repository to track your configuration changes in Git. This will make upgrades far easier and is a good practice not just for Sourcegraph, but for any Kubernetes application.
-
Create a fork of this repository.
- The fork can be public unless you plan to store secrets in the repository itself.
- We recommend not storing secrets in the repository itself and these instructions document how.
-
Create a release branch to track all of your customizations to Sourcegraph. When you upgrade Sourcegraph Data Center, you will merge upstream into this branch.
git checkout HEAD -b release
If you followed the installation instructions,
HEAD
should point at the Git tag you've deployed to your running Kubernetes cluster. -
Commit customizations to your release branch:
- Commit manual modifications to Kubernetes YAML files.
- Commit commands that should be run on every update (e.g.
kubectl apply
) to ./kubectl-apply-all.sh. - Commit commands that generally only need to be run once per cluster to (e.g.
kubectl create secret
,kubectl expose
) to ./create-new-cluster.sh.
Configuration steps in this file depend on jq, yj and jy.
- Configure network access
- Update site configuration
- Configure TLS/SSL
- Configure repository cloning via SSH
- Configure language servers
- Configure SSDs to boost performance.
- Configure gitserver replica count
- Assign resource-hungry pods to larger nodes
- Configure a storage class
- Configure Prometheus
- Configure Jaeger tracing
- Configure Lightstep tracing
- Configure custom Redis
- Configure custom PostgreSQL
- Install without RBAC
You need to make the main web server accessible over the network to external users.
There are a few approaches, but using a load balancer is recommended.
For production environments, we recommend using a load balancer.
Run one of the following commands depending on your desired transport protocol:
- HTTP
kubectl expose deployment sourcegraph-frontend --type=LoadBalancer --name=sourcegraph-frontend-loadbalancer --port=80 --target-port=3080
- HTTPS (requires you to configure TLS/SSL)
kubectl expose deployment sourcegraph-frontend --type=LoadBalancer --name=sourcegraph-frontend-loadbalancer --port=443 --target-port=3443
Add the command you ran to create-new-cluster.sh and commit the change.
Once the load balancer has acquired an external IP address, you should be able to access Sourcegraph using that. You can check the external IP address by running the following command:
kubectl get service sourcegraph-frontend-loadbalancer -o=custom-columns=EXTERNAL-IP:.status.loadBalancer.ingress[*].ip
Add a network rule that allows ingress traffic to port 30080 (HTTP) and/or 30081 (HTTPS) on at least one node.
-
Google Cloud Platform Firewall rules.
-
Expose the necessary ports.
gcloud compute --project=$PROJECT firewall-rules create sourcegraph-frontend-http --direction=INGRESS --priority=1000 --network=default --action=ALLOW --rules=tcp:30080 gcloud compute --project=$PROJECT firewall-rules create sourcegraph-frontend-https --direction=INGRESS --priority=1000 --network=default --action=ALLOW --rules=tcp:30081
-
Find a node name.
kubectl get pods -l app=sourcegraph-frontend -o=custom-columns=NODE:.spec.nodeName
-
Get the EXTERNAL-IP address (will be ephemeral unless you make it static).
kubectl get node $NODE -o wide
-
Sourcegraph should now be accessible at $EXTERNAL_ADDR:30080
and/or $EXTERNAL_ADDR:30081
, where $EXTERNAL_ADDR
is the address of any node in the cluster.
You can also use an Ingress controller.
The site configuration is stored inside a ConfigMap, which is mounted inside every deployment that needs it. You can change the site configuration by editing base/config-file.ConfigMap.yaml.
Updates to the site configuration are propagated to the relevant services in about 1 minute. (Future Kubernetes versions will decrease this latency.)
For the impatient, site configuration changes can be applied immediately by changing the name of the ConfigMap. kubectl apply
ing these changes will force the relevant pods to restart immediately with the new config:
-
Change the name of the ConfigMap in all deployments.
The following convenience script changes the name of the site configuration's ConfigMap (and all references to it) by appending the current date and time. This script should be run at the root of your
deploy-sourcegraph-$VERSION
folder.#!/bin/bash # e.g. 2018-08-15t23-42-08z CONFIG_DATE=$(date -u +"%Y-%m-%dt%H-%M-%Sz") # update all references to the site config's ConfigMap # from: 'config-file.*' , to:' config-file-$CONFIG_DATE' find . -name "*yaml" -exec sed -i.sedibak -e "s/name: config-file.*/name: config-file-$CONFIG_DATE/g" {} + # delete sed's backup files find . -name "*.sedibak" -delete
-
Apply the new configuration to your Kubernetes cluster.
./kubectl-apply-all.sh
If you intend to make your Sourcegraph instance accessible on the Internet or another untrusted network, you should use TLS so that all traffic will be served over HTTPS.
-
Create a secret that contains your TLS certificate and private key.
kubectl create secret generic tls --from-file=cert=$PATH_TO_CERT --from-file=key=$PATH_TO_KEY
Update create-new-cluster.sh with the previous command.
echo kubectl create secret generic tls --from-file=cert=$PATH_TO_CERT --from-file=key=$PATH_TO_KEY >> create-new-cluster.sh
-
Add the
TLS_CERT
andTLS_KEY
environment variables to base/frontend/sourcegraph-frontend.Deployment.yaml.# base/frontend/sourcegraph-frontend.Deployment.yaml env: - name: TLS_CERT valueFrom: secretKeyRef: key: cert name: tls - name: TLS_KEY valueFrom: secretKeyRef: key: key name: tls
Convenience script:
# This script requires https://github.com/sourcegraph/jy and https://github.com/sourcegraph/yj FE=base/frontend/sourcegraph-frontend.Deployment.yaml cat $FE | yj | jq '(.spec.template.spec.containers[] | select(.name == "frontend") | .env) += [{name: "TLS_CERT", valueFrom: {secretKeyRef: {key: "cert", name: "tls"}}}, {name: "TLS_KEY", valueFrom: {secretKeyRef: {key: "key", name: "tls"}}}]' | jy -o $FE
-
Change your
appURL
in the site configuration stored inbase/config-file.ConfigMap.yaml
.{ "appURL": "https://example.com:3443" // Must begin with "https"; replace with the public IP or hostname of your machine }
-
Deploy the changes by following the instructions to update to the site configuration.
-
Refer to the Configure network access section to make sure that
sourcegraph-frontend
's port3443
is properly exposed.
WARNING: Do NOT commit the actual TLS cert and key files to your fork (unless your fork is private and you are okay with storing secrets in it).
Sourcegraph will clone repositories using SSH credentials if they are mounted at /root/.ssh
in the gitserver
deployment.
-
Create a secret that contains the base64 encoded contents of your SSH private key (make sure it doesn't require a password) and known_hosts file.
kubectl create secret generic gitserver-ssh \ --from-file id_rsa=${HOME}/.ssh/id_rsa \ --from-file known_hosts=${HOME}/.ssh/known_hosts
Update create-new-cluster.sh with the previous command.
echo kubectl create secret generic gitserver-ssh \ --from-file id_rsa=${HOME}/.ssh/id_rsa \ --from-file known_hosts=${HOME}/.ssh/known_hosts >> create-new-cluster.sh
-
Mount the secret as a volume in gitserver.StatefulSet.yaml.
For example:
# base/gitserver/gitserver.StatefulSet.yaml spec: containers: volumeMounts: - mountPath: /root/.ssh name: ssh volumes: - name: ssh secret: defaultMode: 384 secretName: gitserver-ssh
Convenience script:
# This script requires https://github.com/sourcegraph/jy and https://github.com/sourcegraph/yj GS=base/gitserver/gitserver.StatefulSet.yaml cat $GS | yj | jq '.spec.template.spec.containers[].volumeMounts += [{mountPath: "/root/.ssh", name: "ssh"}]' | jy -o $GS cat $GS | yj | jq '.spec.template.spec.volumes += [{name: "ssh", secret: {defaultMode: 384, secretName:"gitserver-ssh"}}]' | jy -o $GS
-
Apply the updated
gitserver
configuration to your cluster../kubectl-apply-all.sh
WARNING: Do NOT commit the actual id_rsa
and known_hosts
files to your fork (unless
your fork is private and you are okay with storing secrets in it).
Code intelligence is a paid upgrade on top of the Data Center deployment option. After following these instructions to confirm it works, buy code intelligence.
Code intelligence provides advanced code navigation and cross-references for your code on Sourcegraph.
After setting up the base Sourcegraph deployment, refer to the following docs for each language for instructions about how to deploy / configure each language server:
We also have the following experimental language servers (please read about the caveats before enabling them):
Note: If you're creating a new cluster and would like to change gitserver
's replica count, do
so before running ./kubectl-apply-all.sh
for the first time. Changing this after the cluster
configuration has been applied will require manually resizing the indexed-search
volume.
Increasing the number of gitserver
replicas can improve performance when your instance contains a large number of repositories. Repository clones are consistently striped across all gitserver
replicas. Other services need to be aware of how many gitserver
replicas exist so they can resolve an individual repo.
To change the number of gitserver
replicas:
-
Update the
replicas
field in gitserver.StatefulSet.yaml. -
Update the
SRC_GIT_SERVERS
environment variable in all services to reflect the number of replicas.For example, if there are 2 gitservers then
SRC_GIT_SERVERS
should have the valuegitserver-0.gitserver:3178 gitserver-1.gitserver:3178
:- env: - name: SRC_GIT_SERVERS value: gitserver-0.gitserver:3178 gitserver-1.gitserver:3178
-
Update the requested
storage
capacity in base/indexed-search/indexed-search.PersistentVolumeClaim.yaml to be200Gi
multiplied by the number ofgitserver
replicas.For example, if there are 2
gitserver
replicas then thestorage
requested in base/indexed-search/indexed-search.PersistentVolumeClaim.yaml should have the value400Gi
.# base/indexed-search/indexed-search.PersistentVolumeClaim.yaml spec: resources: requests: storage: 400Gi
Here is a convenience script that performs all three steps:
# This script requires https://github.com/sourcegraph/jy and https://github.com/sourcegraph/yj
GS=base/gitserver/gitserver.StatefulSet.yaml
REPLICA_COUNT=2 # number of gitserver replicas
# Update gitserver replica count
cat $GS | yj | jq ".spec.replicas = $REPLICA_COUNT" | jy -o $GS
# Compute all gitserver names
GITSERVERS=$(for i in `seq 0 $(($REPLICA_COUNT-1))`; do echo -n "gitserver-$i.gitserver:3178 "; done)
# Update SRC_GIT_SERVERS environment variable in other services
find . -name "*yaml" -exec sed -i.sedibak -e "s/value: gitserver-0.gitserver:3178.*/value: $GITSERVERS/g" {} +
IDX_SEARCH=base/indexed-search/indexed-search.PersistentVolumeClaim.yaml
# Update the storage requested in indexed-search's persistent volume claim
cat $IDX_SEARCH | yj | jq --arg REPLICA_COUNT "$REPLICA_COUNT" '.spec.resources.requests.storage = ((($REPLICA_COUNT |tonumber) * 200) | tostring)+"Gi"' | jy -o $IDX_SEARCH
# Delete sed's backup files
find . -name "*.sedibak" -delete
Commit the outstanding changes.
If you have a heterogeneous cluster where you need to ensure certain more resource-hungry pods are assigned to more powerful nodes (e.g. indexedSearch
), you can specify node constraints (such as nodeSelector
, etc.).
This is useful if, for example, you have a very large monorepo that performs best when gitserver
and searcher
are on very large nodes, but you want to use smaller nodes for
sourcegraph-frontend
, repo-updater
, etc. Node constraints can also be useful to ensure fast
updates by ensuring certain pods are assigned to specific nodes, preventing the need for manual pod
shuffling.
See the official documentation for instructions about applying node constraints.
Sourcegraph relies on the default storage class of your cluster. If your cluster does not have a default storage class or if you wish to use a different storage class for Sourcegraph, then you need to update all PersistentVolumeClaims with the name of the desired storage class.
# This script requires https://github.com/sourcegraph/jy and https://github.com/sourcegraph/yj
find . -name "*PersistentVolumeClaim.yaml" -exec sh -c "cat {} | yj | jq '.spec.storageClassName = \"$STORAGE_CLASS_NAME\"' | jy -o {}" \;
Lightstep is a closed-source distributed tracing and performance monitoring tool created by some of the authors of Dapper. Every Sourcegraph deployment supports Lightstep, and it can be configured via the following environment variables (with example values):
env:
# https://about.sourcegraph.com/docs/config/site/#lightstepproject-string
- name: LIGHTSTEP_PROJECT
value: my_project
# https://about.sourcegraph.com/docs/config/site/#lightstepaccesstoken-string
- name: LIGHTSTEP_ACCESS_TOKEN
value: abcdefg
# If false, any logs (https://github.com/opentracing/specification/blob/master/specification.md#log-structured-data)
# from spans will be omitted from the spans sent to Lightstep.
- name: LIGHTSTEP_INCLUDE_SENSITIVE
value: true
To enable this, you must first purchase Lightstep and create a project corresponding to the Sourcegraph instance. Then, add the above environment to each deployment.
Sourcegraph supports specifying a custom Redis server for:
- caching information (specified via the
REDIS_CACHE_ENDPOINT
environment variable) - storing information (session data) (specified via the
REDIS_STORE_ENDPOINT
environment variable)
If you want to specify a custom Redis server, you'll need specify the corresponding environment variable for each of the following deployments:
sourcegraph-frontend
indexer
lsp-proxy
repo-updater
xlang-go
xlang-go-bg
You may prefer to configure Sourcegraph to store data in an external PostgreSQL instance if you already have existing database management or backup infrastructure.
Simply edit the relevant PostgreSQL environment variables (e.g. PGHOST, PGPORT, PGUSER, etc.) in base/frontend/sourcegraph-frontend.Deployment.yaml to point to your existing PostgreSQL instance.
Sourcegraph Data Center communicates with the Kubernetes API for service discovery. It also has some janitor DaemonSets that clean up temporary cache data. To do that we need to create RBAC resources.
If using RBAC is not an option, then you will not want to apply *.Role.yaml
and *.RoleBinding.yaml
files.