Litestream & Cloud Run example

Important: Litestream currently does not work well on automatically scaled platforms like Cloud Run because it expects a maximum of one instance.

This repository provides an example of running a Go application in the same container as Litestream by using the built-in subprocess execution. This allows developers to release their SQLite-based application and provide replication in a single container.

Usage

Prerequisites

Create a Google Cloud project, write down its project ID.
Create a Cloud Storage bucket in a single region, for example us-central1, and write down the bucket name.

Build & deploy the sample to Cloud Run

Clone this repository and navigate to the cloned location.

Then build and deploy the application with the following command:

gcloud beta run deploy litestream-example \
  --source .  \
  --set-env-vars REPLICA_URL=gcs://BUCKET_NAME/database \
  --max-instances 1 \
  --execution-environment gen2 \
  --no-cpu-throttling \
  --allow-unauthenticated \
  --region REGION \
  --project PROJECT_ID

Replace:

BUCKET_NAME with your Cloud Storage bucket name
REGION with the same region where you created the bucket, for example us-central1
PROJECT_ID with your Google Cloud project ID.

When the deployment completes, open the .run.app URL of the Cloud Run service.

The command has built the source code into a container using Cloud Build then deployed it to Cloud Run.

The command:

sets the REPLICA_URL environment variable to point at the Cloud Storage URL (note that Livestream expects gcs:// instead of gs://, this will change in the next Litestream release)
forces a maximum of one instance because Litestream isn't compatible with multiple servers
uses the Cloud Run second generation execution environment for better performance
asks for the CPU to always be allocated (evenoutside of requests processing)
makes the service publicly accessible by allowing unauthenticated invocations

Additional security

Containers deployed to Cloud Run run with an identity, by default, it is the "Default Compute Service Account", which has read/write access to all Cloud Storage buckets in the same project as well as a lot of other permissions on resources in the same project. For additional security, it is recommended to create a dedicated Servie Account with read/write permission on the Cloud Storage bucket and then use this service account as the identity of the Cloud Run service. Read more here

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