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A Loco application runs on Sevalla as a Rust application: Ingot, Sevalla’s builder, compiles it with Cargo in release mode from your Git repository, and the web process runs storefront-cli start, Loco’s command-line binary, which reads config/production.yaml and listens on the port that Sevalla sets in the PORT environment variable. This guide deploys Loco’s REST API starter, with user sign-up and a products API stored in a Sevalla PostgreSQL database, and runs the SeaORM migrations in a job before each deployment.

At a glance

Environment variables

Before you begin

  • A Sevalla company with a payment method, and a GitHub, GitLab or Bitbucket account for the repository. See Git providers.
  • Rust 1.99 on your computer, installed with rustup, with rustfmt.
  • The Loco command-line tool and SeaORM’s, which Loco’s generators run: cargo install --locked loco sea-orm-cli. On Debian and Ubuntu, sea-orm-cli compiles only with the pkg-config and libssl-dev packages installed.
  • PostgreSQL on your computer, which Loco’s generators connect to. With Docker: docker run -d -p 5432:5432 -e POSTGRES_USER=loco -e POSTGRES_PASSWORD=loco -e POSTGRES_DB=storefront_development postgres:18.

Create the project

Create a Loco application with the REST API starter, on PostgreSQL:
The three options pick the starter without prompts: PostgreSQL, background jobs that run inside the server process, and no front end. The starter has user sign-up and sign-in with JSON Web Tokens, a users migration, a mailer for the welcome and password-reset emails, and a .gitignore that keeps Cargo.lock in the repository. Its binary is storefront-cli, which starts the server, runs migrations and runs tasks. Generate a products API, with its migration, model and controller:
The generator connects to the development database, postgres://loco:loco@localhost:5432/storefront_development, runs the new migration and writes the SeaORM entities. The routes under /api/products need a token from /api/auth/login.

Prepare the project for Sevalla

The starter’s config/production.yaml reads each setting that differs between environments from an environment variable, and stops at start when one without a default is missing. Its mailer section needs an SMTP server in MAILER_HOST, MAILER_USER and MAILER_PASSWORD. To deploy without sending email, delete the mailer section, from # Mailer Configuration. to the line before # Initializers Configuration. Sign-up still works, and the runtime logs show attempting to send email but no email sender configured instead of sending the welcome email. Put the section back when you have an SMTP server. In the same file, change the logger’s format from json to compact:
config/production.yaml
Sevalla shows a JSON log line’s message field as the line’s text, and Loco’s JSON lines keep their text in fields.message, so the Logs tab would show them as empty lines. The compact format writes one line of text per event, with its level in color. Then add a Procfile, so the web process starts the server, and a rust-toolchain.toml that pins the Rust version:
Procfile
rust-toolchain.toml
Ingot needs no other configuration. It builds with cargo auditable build --release --locked, which records the crates in the binary so vulnerability scanners can read them, and runs the binary under tini. Loco connects to PostgreSQL with SQLx and rustls, so the image needs no OpenSSL. The production configuration binds the server to 0.0.0.0 on PORT. loco new doesn’t create a Git repository. Create one, commit everything and push it to your Git provider:

Deploy to Sevalla

These steps build with Ingot. To build from your own Dockerfile instead, see Deploy with a Dockerfile.
1

Create the database

In the sidebar, click Databases, then click Create database. Under Database, choose PostgreSQL and the newest version. Enter orders-db as the Display name, choose a Data center and a Size, then click Create database. See Create a database for every field.
2

Create the application

In the sidebar, click Applications, then click Create > Application. Under Source, click Private repository, then choose the Git provider, the Repository and the Branch. Under Location, choose the same Data center as the database. Keep the Size at H1 or choose a larger one, then click Create application. The application opens on its Overview tab with the status Not deployed yet: creating an application doesn’t deploy it.
3

Connect the database

Click the Networking tab. Under Connected services, click Add internal connection. Choose orders-db as the Service and turn on Add environment variables to the application. In the list of variables, rename DB_URL to DATABASE_URL, the name config/production.yaml reads, then click Add internal connection. See Connect an application.
4

Add the environment variables

Click the Environment variables tab, then click Add environment variables. Add these variables, clear Available during buildtime, and click Add environment variables:
5

Create the migration job

Click the Processes tab, then click Create process. Choose Job, enter Migrate as the Name and storefront-cli db migrate as the Custom start command. Keep the Start policy at Before deployment and the Resource at H1, then click Create process.
6

Deploy

Click the Overview tab, then click Deploy now under Recent deployments. Check the Branch and click Deploy.
7

Turn on auto-deploy

To deploy every push to the branch automatically, click the Settings tab, then click Update auto-deploy in the Auto-deploy section. Turn on Auto-deploy and click Update auto-deploy. See Deployments.
The database needs no TLS settings. The internal connection stays on Sevalla’s private network, and DATABASE_URL starts with postgres://, which SeaORM accepts.

Verify the deployment

  1. On the Deployments tab, click the deployment. Its Build log shows Ingot’s build plan: Rust 1.99 from rust-toolchain.toml, the workspace package, the start command from the Procfile and the config folder.
    Build log
    Later, during the rollout, the build log shows Migrate has been successful. If the job fails, the deployment fails and the previous version keeps running.
  2. Wait for the deployment’s status to change to Deployed. The application’s status next to its name changes to Running.
  3. Click the domain under the application’s name, for example storefront-x7k2m.sevalla.app, and add /_readiness to the address. The response is {"ok":true}: the server is running and reaches the database.
The application header with its name, Running status, repository, branch and the domain that opens the applicationThe application header with its name, Running status, repository, branch and the domain that opens the application
The application’s runtime logs show environment: production and listening on http://0.0.0.0:8080 under Loco’s banner, then one line per log event. Choose the Migrate process on the Logs tab to read the migrations it applied, such as Migration 'm20220101_000001_users' has been applied. If the deployment fails, read its build log, then see Troubleshoot. To check the deployment from a terminal or an AI agent, read its status with Get deployment (getDeploymentV3) until it’s success, and its build log with Get application deployment logs (getApplicationDeploymentLogsV3), as in Deploy with the API. Then sign up a user, sign in, and create and list a product. Each request after the sign-in sends the token, and the product is stored in PostgreSQL:
/api/auth/register answers null whether or not it created the user, so a second sign-up with the same email changes nothing. Without the token, /api/products answers 401. Get application runtime logs (getApplicationRuntimeLogsV3) with search finds the start of the server:

Shut down gracefully

When Sevalla stops an instance, during a deployment, a restart or a scale-down, it waits 5 seconds, sends SIGTERM, and stops the instance if it’s still running 30 seconds after the shutdown began. See How processes run. Loco handles SIGTERM itself: the server stops accepting connections, finishes the requests in progress, then exits. On every deployment, the old instance’s runtime logs end with a line such as:
Runtime logs

Add a health check

Loco answers three monitoring routes: /_ping and /_health return {"ok":true} while the server runs, and /_readiness also checks the database, and answers 503 with {"ok":false} when it can’t reach it. A readiness probe on /_readiness makes each new instance wait until it reaches PostgreSQL before it gets traffic.
1

Open the web process

On the application’s Processes tab, click ⋯ on the Web process, then click Update process.
2

Turn on the readiness probe

Under Health checks, turn on Readiness probe and set the Path to /_readiness. Keep the Port at the web process’s port, 8080 unless you changed it.
3

Save and deploy

Click Update process, then click Deploy in the undeployed changes bar at the bottom of the page.
The deployment’s status changes to Deployed once the new instance answers the probe. See Health checks for every probe setting. Deploy with the API sets the same probe. Get process (getProcessV3) returns it in readiness_probe:

Deploy with a Dockerfile

Ingot needs no Dockerfile. Write your own when you want full control of the image: the base image, the system packages and every layer. Loco generates one with cargo loco generate deployment docker; this one adds a cached dependency layer, a user other than root, and the start command. Add a Dockerfile and a .dockerignore to the root of the repository:
Dockerfile
.dockerignore
The .dockerignore keeps the Git history, the GitHub workflows, local environment files, logs and your local target folder of build output out of the build. Commit and push both files. Ingot doesn’t build from your Dockerfile, and it adds the patterns in .dockerignore to its own, so you can keep both files in a repository that builds with Ingot. Then switch the application to the Dockerfile build strategy:
1

Choose the Dockerfile build strategy

On the application’s Settings tab, in the Build strategy section, click Update build strategy. Click Dockerfile, keep the Dockerfile path Dockerfile and the Docker context ., then click Update build strategy.
2

Deploy

Click the Overview tab, then click Deploy now under Recent deployments. Check the Branch and click Deploy.
The deployment’s build log shows 📦 Building and pushing docker image using Dockerfile... instead of Ingot’s build plan, and still shows Migrate has been successful: the job runs storefront-cli db migrate from the new image. The checks in Verify the deployment answer the same, and the deployment’s Dockerfile tab shows your file. With Cache enabled in the build strategy, the next deployment of a code change shows the dependency step as CACHED in the build log. See Dockerfile. With the API, Update application (updateApplicationV3) switches the build strategy. Then deploy and wait as in Deploy with the API:
The CLI does the same with sevalla apps update $APP_ID --data '{"build_type":"dockerfile","dockerfile_path":"Dockerfile","docker_context":"."}'. The new deployment’s build log names the Dockerfile build:

Deploy changes

With Auto-deploy on, every push to the branch starts a deployment; otherwise, click Deploy now for each change. Each deployment builds the image, runs the Migrate job, then replaces the web process’s instances. For a schema change, generate a migration locally, such as cargo loco generate migration add_sku_to_products sku:string, and commit it in migration/src with the code; the job applies it on the next deployment. When you add a crate, commit Cargo.toml and Cargo.lock. See Deployments.

Use environment variables

Add variables on the application’s Environment variables tab; they apply at the next deployment. Loco renders config/production.yaml each time storefront-cli starts, so get_env(name="X") there reads the variable from the environment, and get_env(name="X", default="...") falls back to the default. Read your own variables in code with std::env::var. See Environment variables.

Add a custom domain

To serve the application from your own domain, such as shop.example.com, add the domain on the application’s Domains tab and create the DNS records that Sevalla shows. Then set HOST to https://shop.example.com, so links in emails use it, and deploy. Custom domains need a web process larger than H1, so scale the web process first. See Custom domains.

Troubleshoot

For more causes, see Troubleshoot Ingot builds.

Deploy with the API

These calls make the same deployment as Deploy to Sevalla and Add a health check, in an order that a script or an AI agent runs as it is. Each step names the Sevalla API operation, then the CLI command and the MCP server tool that do the same. The sequence creates two services, a database and an application; the API allows 20 creations of each per hour. You need:
  • An API key with the Company developer role, or the APP:CREATE, APP:READ, APP:UPDATE, DATABASE:CREATE, DATABASE:READ and DATABASE:UPDATE permissions, in the SEVALLA_API_KEY environment variable. The CLI reads the key from SEVALLA_API_TOKEN.
  • The repository on a Git provider that’s connected to your Sevalla account. See Git providers. Creating the application checks it: when Sevalla can’t read the repository, the call returns 400 with Cannot access repository https://github.com/acme/storefront: Repository not found or you don't have access., followed by where to grant access.
  • curl, jq and openssl.
1

Choose the location

List clusters (listClustersV3) returns the locations your company can use, each with its id, the display_name that the dashboard shows and its region ID in location. Keep the ID of the one you want by its region ID, such as eu-frankfurt-1 for Frankfurt, Germany. Locations lists them all. The database and the application must be in the same location:
CLI: sevalla resources clusters. MCP: get_platform_options.
2

Find the newest PostgreSQL version

List database versions (listDatabaseVersionsV3) returns the versions you can create in the location:
CLI: sevalla resources db-versions --cluster $CLUSTER_ID --type postgresql. MCP: create_database picks the newest version when you leave version out.
3

Find the DB1 size

List database resource types (listDatabaseResourceTypesV3) returns the database sizes by name. DB1, the smallest, is the dashboard’s default:
CLI: sevalla resources db-types. MCP: get_platform_options.
4

Create the database

Create database (createDatabaseV3) needs a password: generate one and keep it, because Get database (getDatabaseV3) doesn’t return it. The call returns at once, with the status creating:
CLI: sevalla databases create --name orders-db --type postgresql --db-version $PG_VERSION --cluster $CLUSTER_ID --resource-type $DB_SIZE_ID --db-name orders --db-user storefront --db-password $DB_PASSWORD. MCP: create_database with connect_to_application_id and env_var_name set to DATABASE_URL also connects the application and stores the URL, with the scheme postgresql://, which SeaORM accepts as well as postgres://.
5

Wait for the database

Get database (getDatabaseV3) returns the status, creating and then ready, and the internal hostname and port that the application connects to. Poll it for up to 10 minutes:
CLI: sevalla databases get $DB_ID. MCP: get_database.
6

Create the application

Create application (createApplicationV3) creates the application with a web process. It builds with Ingot (build_type is ingot) and isn’t deployed yet:
CLI: sevalla apps create --name storefront --cluster $CLUSTER_ID --source privateGit --git-type github --repository https://github.com/acme/storefront --branch main. MCP: create_application with deploy set to false.
7

Find the domain

List application domains (listApplicationDomainsV3) returns the domain that Sevalla gives the application. It appears a few seconds after the application is created, so ask until it’s there:
CLI: sevalla apps domains list --app-id $APP_ID. MCP: get_application.
8

Connect the database

Create internal connection (createApplicationInternalConnectionV3) connects the application to the database over the private network. Unlike the dashboard, it doesn’t add environment variables:
CLI: sevalla apps internal-connections create $APP_ID --target-id $DB_ID --target-type database. MCP: sevalla_api_create with createApplicationInternalConnectionV3.
9

Add the environment variables

Create environment variable (createEnvironmentVariableV3) adds the database URL in the format that the dashboard’s internal connection uses, a new base64 JWT_SECRET and the other settings, available at runtime only:
CLI: sevalla apps env-vars create $APP_ID --key LOCO_ENV --value production, once per variable; it always makes a variable available during the build and runtime. MCP: set_environment_variables with buildtime set to false.
10

Find the web process

List processes (listProcessesV3) returns the web process that the application was created with:
CLI: sevalla apps processes list --app-id $APP_ID. MCP: get_application.
11

Find the H1 size

List process resource types (listProcessResourceTypesV3) returns the sizes by name, in lowercase:
CLI: sevalla resources process-types. MCP: get_platform_options.
12

Create the migration job

Create process (createProcessV3) creates the Migrate job. The API needs the size, a scaling_strategy and the job_start_policy, which the dashboard fills in for you:
CLI: sevalla apps processes create $APP_ID --name Migrate --type job --command "storefront-cli db migrate" --resource-type $H1_ID --job-start-policy beforeDeployment. MCP: sevalla_api_create with createProcessV3 and the same body.
13

Set the size and the readiness probe

The API creates the web process at S1, where the dashboard’s default is H1. Update process (updateProcessV3) sets the size and adds the readiness probe from Add a health check, with the dashboard’s default timings. Send timeoutSeconds: a probe without it gets 120 seconds, where the dashboard sets 1.
CLI: sevalla apps processes update $WEB_ID --app-id $APP_ID --resource-type $H1_ID sets the size; the CLI can’t set probes. MCP: scale_process with size_id for the size, and sevalla_api_update with updateProcessV3 and the same body for the probe.
14

Turn on auto-deploy

Update application (updateApplicationV3) turns on automatic deployments for every push to the branch:
CLI: sevalla apps update $APP_ID --data '{"auto_deploy":true}'. MCP: sevalla_api_update with updateApplicationV3.
15

Deploy

Trigger deployment (triggerDeploymentV3) deploys the latest commit on the branch:
CLI: sevalla apps deployments trigger $APP_ID --branch main. MCP: trigger_deployment.
16

Wait for the deployment

Get deployment (getDeploymentV3) returns the deployment’s status: waiting and inProgress while it runs, then success, failed, cancelled or skipped. Poll it until the status is final, for up to 30 minutes:
CLI: sevalla apps deployments get $DEPLOYMENT_ID --app-id $APP_ID. MCP: get_deployment.
17

Read the build log

Get application deployment logs (getApplicationDeploymentLogsV3) returns the build log, oldest line first: the build plan from Verify the deployment, the build and the rollout. When the status is failed, the last lines say why. With search, it finds the job’s result:
Without search, add ?limit=5000 to read the whole build log. CLI: sevalla apps deployments logs $DEPLOYMENT_ID --app-id $APP_ID. MCP: get_deployment_logs.
18

Check the application

Request the readiness route from the application’s domain:
Then run the other checks in Verify the deployment.