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Django’s cache framework keeps computed views and values in a cache backend. On Sevalla, the backend is a Redis database that the application reaches over an internal connection, so every instance of the web process shares one cache. Django includes the Redis backend: it needs only the redis package.

At a glance

This guide adds to the application from Deploy a Django application:

Environment variables

The internal connection also adds REDIS_HOST, REDIS_PORT and REDIS_PASSWORD, which the project doesn’t read. The deploy guide lists the other variables.

Before you begin

Create a Redis database

1

Create the database

In the sidebar, click Databases, then click Create database. Under Database, choose Redis, or Valkey: the code in this guide works with both. Enter storefront-redis as the Display name, choose the same Data center as the application and a Size, then click Create database.
2

Connect it to the application

In the sidebar, click Applications, then click the application. Click the Networking tab. Under Connected services, click Add internal connection. Choose storefront-redis as the Service, turn on Add environment variables to the application, and click Add internal connection. Sevalla adds REDIS_HOST, REDIS_PORT, REDIS_PASSWORD and REDIS_URL. See Connect an application.
The Add internal connection sheet with the Service field and the Add environment variables to the application switchThe Add internal connection sheet with the Service field and the Add environment variables to the application switch

Configure the cache

Install redis-py and update requirements.txt:
In storefront/settings.py, use Django’s Redis backend with the URL from the internal connection:
storefront/settings.py
The same setting serves cache_page, template fragment caching ({% cache %}) and the low-level API (django.core.cache.cache).

Cache a view

Cache a view’s response for 2 minutes with cache_page:
storefront/views.py
storefront/urls.py
Commit and push the changes, requirements.txt included: Ingot installs redis on the next build. If Auto-deploy is off, click Deploy now on the application’s Overview tab.

Verify

When the deployment’s status is Deployed, request the page twice, with your application’s domain:
Both responses show the same time, for example Generated at 16:08:48, and carry Cache-Control: max-age=120. After 2 minutes, the next request shows a new time. To see both in one run:
To check the cache itself, run a command in the web process with Run a command in a process (execProcessCommandV3), with APP_ID and WEB_ID from Deploy with the API:
To look at the keys, open the database and click the Redis studio tab: cache_page stores keys whose names start with :1:views.decorators.cache.cache_page. See Database studio.

Control the CDN and edge cache

Sevalla can also cache responses at Cloudflare’s edge, in front of the application. Turn on the CDN and edge caching on the application’s Networking tab; see CDN and edge caching.
  • The CDN caches static files by file extension, such as .css, .js and images. WhiteNoise’s hashed file names make them safe to cache for a long time.
  • Edge caching caches pages and other responses too. It caches only GET requests, skips requests with an Authorization header, and doesn’t store responses that set a cookie, such as pages that start a session or set the CSRF cookie.
  • When a response has no Cache-Control header, Sevalla adds one. With edge caching on, a 200 response without its own header can stay cached for up to 30 days, unless a deployment or a purge clears the cache first. See Control caching from your application.
So with edge caching on, set Cache-Control on every view. never_cache keeps a page out of every cache, and cache_control sets how long it may be kept:
storefront/views.py
Django’s admin views already use never_cache. To check what a page sends, run curl -sI https://storefront-x7k2m.sevalla.app/catalog/ and read the Cache-Control header.

Deploy with the API

This sequence adds the Redis database to the application from Deploy with the API and continues in its shell, with API, CLUSTER_ID, DB1_ID and APP_ID set. Push the code changes from Configure the cache and Cache a view first. Each step names the CLI command and the Sevalla MCP server tool that do the same.
1

Look up the Redis version

List database versions (listDatabaseVersionsV3) returns the versions the location offers, oldest first. Save the newest:
CLI: sevalla resources db-versions --cluster "$CLUSTER_ID" --type redis. MCP: not needed, create_database takes the newest version by default.
2

Create the database

Create database (createDatabaseV3). You choose the password, and the API never returns it, so keep it for the connection URL:
CLI: sevalla databases create --name storefront-redis --type redis --db-version "$REDIS_VERSION" --cluster "$CLUSTER_ID" --resource-type "$DB1_ID" --db-name storefront --db-password "$REDIS_PASSWORD". MCP: create_database with type: "redis"; with connect_to_application_id and env_var_name: "REDIS_URL", it also does the internal connection and adds REDIS_URL.
3

Wait for the database

Get database (getDatabaseV3) shows status ready when the database is up, with its internal hostname and port:
CLI: sevalla databases get "$REDIS_ID". MCP: get_database.
4

Connect the database

Create internal connection (createApplicationInternalConnectionV3):
The API adds no environment variables; the next step adds them. CLI: sevalla apps internal-connections create "$APP_ID" --target-id "$REDIS_ID" --target-type database. MCP: sevalla_api_create with createApplicationInternalConnectionV3 and the same body.
5

Add the environment variables

Create environment variable (createEnvironmentVariableV3), once per variable, with the names and format of the dashboard’s internal connection:
CLI: sevalla apps env-vars create "$APP_ID" --key REDIS_URL --value "redis://:$REDIS_PASSWORD@$REDIS_HOST:$REDIS_PORT/0", once per variable. MCP: set_environment_variables.
6

Deploy

Trigger deployment (triggerDeploymentV3) deploys the latest commit with the Redis variables. With Auto-deploy on, the push already started a deployment, without them; this one queues behind it:
CLI: sevalla apps deployments trigger "$APP_ID". MCP: trigger_deployment.
7

Wait for the deployment

Get deployment (getDeploymentV3) reports the status, which ends as success, failed, cancelled or skipped. The loop keeps polling through a failed request, for up to 30 minutes:
CLI: sevalla apps deployments get "$DEPLOYMENT_ID" --app-id "$APP_ID". MCP: get_deployment.
Then run the checks in Verify, with your application’s domain.