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  • Google Cloud Platform

Deploying to Google Cloud Platform

Last updated: Sep 07, 2022

On this page

  • Chart configuration
  • Installing the chart
  • Set up a static IP
  • In GCP web console
  • From gcloud CLI
  • Setting up DNS
  • Next steps
  • Troubleshooting
  • I cannot connect to my PostHog instance after creation
  • Upgrading the chart
  • Uninstalling the chart
  • Clickhouse Configuration
  • To manually provision a disk
  • Create the claim
  • Provide the claim to the helm chart

Self-host vs PostHog Cloud: Self-hosting PostHog means managing the service yourself and taking care of upgrades, scaling, security etc. If you are less technical or looking for a hands-off experience, we recommend PostHog Cloud. You can also find support partners to manage the service for you via the PostHog Marketplace.

First, we need to set up a Kubernetes cluster (see the official GCP documentation for more info).

Cluster requirements

  • Kubernetes version >=1.22 <= 1.24

  • Kubernetes nodes:

    • ensure you have enough resources available (we suggest a total minimum of 4 vcpu & 8GB of memory)
    • ensure you can run x86-64/amd64 workloads. arm64 architecture is currently not supported
  • Suggestion: ensure allowVolumeExpansion is set to True in the storage class definition (this setting enables PVC resize)

    Details

    PersistentVolumes can be configured to be expandable. This feature when set to true, allows the users to resize the volume by editing the corresponding PersistentVolumeClaims object.

    This can become useful in case your storage usage grows and you want to resize the disk on-the-fly without having to resync data across PVCs.

    To verify if your storage class allows volume expansion you can run:

    kubectl get storageclass -o json | jq '.items[].allowVolumeExpansion'
    true

    In case it returns false, you can enable volume expansion capabilities for your storage class by running:

    DEFAULT_STORAGE_CLASS=$(kubectl get storageclass -o=jsonpath='{.items[?(@.metadata.annotations.storageclass\.kubernetes\.io/is-default-class=="true")].metadata.name}')
    kubectl patch storageclass "$DEFAULT_STORAGE_CLASS" -p '{"allowVolumeExpansion": true}'
    storageclass.storage.k8s.io/gp2 patched

    N.B:

    • expanding a persistent volume is a time consuming operation
    • some platforms have a per-volume quota of one modification every 6 hours
    • not all the volume types support this feature. Please take a look at the official docs for more info
  • Suggestion: ensure reclaimPolicy is set to Retain in the storage class definition (this setting allows for manual reclamation of the resource)

    The Retain reclaim policy allows for manual reclamation of the resource. When the PersistentVolumeClaim is deleted, the PersistentVolume still exists and the volume is considered "released". But it is not yet available for another claim because the previous claimant's data remains on the volume (see the official documentation).

    This can become useful in case your need to reprovision a pod/statefulset but you don't want to lose the underlying data

    To verify which reclaimPolicy your default storage class is using you can run:

    kubectl get storageclass -o json | jq '.items[].reclaimPolicy'
    "Retain"

    If your storage class allows it, you can modify the reclaimPolicy by running:

    DEFAULT_STORAGE_CLASS=$(kubectl get storageclass -o=jsonpath='{.items[?(@.metadata.annotations.storageclass\.kubernetes\.io/is-default-class=="true")].metadata.name}')
    kubectl patch storageclass "$DEFAULT_STORAGE_CLASS" -p '{"reclaimPolicy": "Retain"}'
    storageclass.storage.k8s.io/gp2 patched

Note: in order to reduce the overhead of managing stateful services like PostgreSQL, Kafka, Redis and ClickHouse by yourself, we suggest you to run them outside Kubernetes and offload their provisioning, building and maintenance operations:

  • for PostgreSQL, take a look at Google Cloud SQL for PostgreSQL
  • for Apache Kafka, take a look at Confluent Cloud
  • for Redis, take a look at Google Cloud Memorystore and Redis Enterprise Cloud
  • for ClickHouse, take a look at Altinity Cloud

Chart configuration

Here's the minimal required values.yaml that we'll be using later. You can find an overview of the parameters that can be configured during installation under configuration.

cloud: 'gcp'
ingress:
hostname: <your-hostname>

Installing the chart

To install the chart using Helm with the release name posthog in the posthog namespace, run the following:

helm repo add posthog https://posthog.github.io/charts-clickhouse/
helm repo update
helm upgrade --install -f values.yaml --timeout 30m --create-namespace --namespace posthog posthog posthog/posthog --wait --wait-for-jobs --debug

Note: if you decide to use a different Helm release name or namespace, please keep in mind you might have to change several values in your values.yaml in order to make the installation successful. This is because we build several Kubernetes resources (like service names) using those.

Set up a static IP

Important - This must be a Global IP address. GKE will not be able to find a Region IP address and assign it to the ingress controller's LB.

In GCP web console

  1. Open the Google Cloud Console
  2. Go to VPC Networks > External IP addresses
  3. Add a new global static IP with the name posthog

From gcloud CLI

  1. gcloud compute addresses create posthog --global

Setting up DNS

Do not use posthog or tracking related words as your sub-domain record: As we grow, PostHog owned domains might be added to tracker blockers. To reduce the risk of tracker blockers interfering with events sent to your self-hosted instance, we suggest to avoid using any combination of potentially triggering words as your sub-domain. Examples of words to avoid are: posthog, tracking, tracker, analytics, metrics.

Create the record of your desired hostname pointing to the address found above. After around 30 minutes (required to request, receive and deploy the TLS certificate) you should have a fully working and secure PostHog instance available at the domain record you've chosen!

Next steps

Now that your deployment is up and running, here are a couple of guides we'd recommend you check out to fully configure your instance.

  • Setting up monitoring with Grafana
  • Environment variables
  • Securing PostHog
  • Running behind proxy
  • Email configuration

Troubleshooting

I cannot connect to my PostHog instance after creation

If DNS has been updated properly, check whether the SSL certificate was created successfully.

This can be done via the following command:

gcloud beta --project yourproject compute ssl-certificates list

If running the command shows the SSL cert as PROVISIONING, that means that the certificate is still being created. Read more on how to troubleshoot Google SSL certificates here.

As a troubleshooting tool, you can allow HTTP access by setting ingress.gcp.forceHttps and web.secureCookies both to false, but we recommend always accessing PostHog via https.

Upgrading the chart

To upgrade the Helm release posthog in the posthog namespace:

  1. Get and update the Helm repo:

    helm repo add posthog https://posthog.github.io/charts-clickhouse/
    helm repo update
  2. Verify if the operation is going to be a major version upgrade:

helm list -n posthog
helm search repo posthog

Compare the numbers of the Helm chart version (in the format posthog-{major}.{minor}.{patch} - for example, posthog-19.15.1) when running the commands above. If the upgrade is for a major version, check the upgrade notes before moving forward.

  1. Run the upgrade

    helm upgrade -f values.yaml --timeout 30m --namespace posthog posthog posthog/posthog --atomic --wait --wait-for-jobs --debug

Check the Helm documentation for more info about the helm upgrade command.

Uninstalling the chart

To uninstall the chart with the release name posthog in posthog namespace, you can run: helm uninstall posthog --namespace posthog (take a look at the Helm docs for more info about the command).

The command above removes all the Kubernetes components associated with the chart and deletes the release. Sometimes everything doesn't get properly removed. If that happens try deleting the namespace: kubectl delete namespace posthog.

Clickhouse Configuration

By default clickhouse is provisioned with standard gcp persistent disk. If you want to specify your own persistent volume claim or switch to a different type of disk you can specify the volume claim within values.yaml.

To manually provision a disk

Using the gcloud cli tool for provisioning a disk:

gcloud compute disks create pvc-clickhouse --type=pd-ssd --size=2048GB --zone=us-central1-c

Create the claim

In order to provide the disk to the clickhouse deployment you must first create a persistent volume and claim within the posthog namespace.

# This creates a volume claim using the same name specified within the clickhouse values file
apiVersion: v1
kind: PersistentVolume
metadata:
name: clickhouse-volume
spec:
persistentVolumeReclaimPolicy: Retain
storageClassName: ""
capacity:
storage: 2048Gi
accessModes:
- ReadWriteOnce
gcePersistentDisk:
pdName: pvc-clickhouse
fsType: ext4
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: clickhouse-pvc
spec:
# It's necessary to specify "" as the storageClassName
# so that the default storage class won't be used, see
# https://kubernetes.io/docs/concepts/storage/persistent-volumes/#class-1
storageClassName: ""
volumeName: clickhouse-volume
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 2048Gi

Provide the claim to the helm chart

Add the following to your values.yaml & run helm install or upgrade:

clickhouse:
# -- Optional: Used to manually specify a persistent volume claim. When specified the cloud specific storage class will not be provisioned
persistentVolumeClaim: "clickhouse-pvc"

Questions?

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Hobby Deployment

We provide a PostHog "hobby deployment" option for those that want to try out self-hosted PostHog without having to spend a lot on infrastructure costs. This type of deployment is aimed at users who want to test out the platform or do some minimal tracking (e.g. for a personal blog, or to test PostHog as simply as possible with low volumes). It should not be used as a production instance for tracking a product with any reasonable amount of scale. Pre-requisites You have deployed a Linux Ubuntu…

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