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-clicompiles only with thepkg-configandlibssl-devpackages 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: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:
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’sconfig/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:
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:
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.Create the database
orders-db as the Display name, choose a Data center and a Size, then click Create database. See Create a database for every field.Create the application
Connect the database
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.Add the environment variables
Create the migration job
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.Deploy
Turn on auto-deploy
DATABASE_URL starts with postgres://, which SeaORM accepts.
Verify the deployment
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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 theProcfileand theconfigfolder.Later, during the rollout, the build log showsBuild logMigrate has been successful. If the job fails, the deployment fails and the previous version keeps running. - Wait for the deployment’s status to change to Deployed. The application’s status next to its name changes to Running.
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Click the domain under the application’s name, for example
storefront-x7k2m.sevalla.app, and add/_readinessto the address. The response is{"ok":true}: the server is running and reaches the database.


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, sendsSIGTERM, 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:
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.
Open the web process
Turn on the readiness probe
/_readiness. Keep the Port at the web process’s port, 8080 unless you changed it.Save and deploy
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 withcargo 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:
.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:
Choose the Dockerfile build strategy
Dockerfile and the Docker context ., then click Update build strategy.Deploy
📦 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:
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 theMigrate 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 rendersconfig/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 asshop.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
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:READandDATABASE:UPDATEpermissions, in theSEVALLA_API_KEYenvironment variable. The CLI reads the key fromSEVALLA_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
400withCannot access repository https://github.com/acme/storefront: Repository not found or you don't have access., followed by where to grant access. curl,jqandopenssl.
Choose the location
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:sevalla resources clusters. MCP: get_platform_options.Find the newest PostgreSQL version
listDatabaseVersionsV3) returns the versions you can create in the location:sevalla resources db-versions --cluster $CLUSTER_ID --type postgresql. MCP: create_database picks the newest version when you leave version out.Find the DB1 size
listDatabaseResourceTypesV3) returns the database sizes by name. DB1, the smallest, is the dashboard’s default:sevalla resources db-types. MCP: get_platform_options.Create the 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: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://.Wait for the 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:sevalla databases get $DB_ID. MCP: get_database.Create the application
createApplicationV3) creates the application with a web process. It builds with Ingot (build_type is ingot) and isn’t deployed yet: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.Find the domain
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:sevalla apps domains list --app-id $APP_ID. MCP: get_application.Connect the database
createApplicationInternalConnectionV3) connects the application to the database over the private network. Unlike the dashboard, it doesn’t add environment variables:sevalla apps internal-connections create $APP_ID --target-id $DB_ID --target-type database. MCP: sevalla_api_create with createApplicationInternalConnectionV3.Add the environment variables
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: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.Find the web process
listProcessesV3) returns the web process that the application was created with:sevalla apps processes list --app-id $APP_ID. MCP: get_application.Find the H1 size
listProcessResourceTypesV3) returns the sizes by name, in lowercase:sevalla resources process-types. MCP: get_platform_options.Create the migration job
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: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.Set the size and the readiness probe
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.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.Turn on auto-deploy
updateApplicationV3) turns on automatic deployments for every push to the branch:sevalla apps update $APP_ID --data '{"auto_deploy":true}'. MCP: sevalla_api_update with updateApplicationV3.Deploy
triggerDeploymentV3) deploys the latest commit on the branch:sevalla apps deployments trigger $APP_ID --branch main. MCP: trigger_deployment.Wait for the 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:sevalla apps deployments get $DEPLOYMENT_ID --app-id $APP_ID. MCP: get_deployment.Read the build log
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: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.Check the application