--- title: "Kubernetes" description: "Deploy Trigger.dev to Kubernetes with our official Helm chart - one command for evaluation, external datastores for production." --- The official Helm chart installs the full Trigger.dev stack into a Kubernetes namespace. Read the self-hosting [overview](/self-hosting/overview) first. Pick a path and stay on it. Run the **evaluation install** to try Trigger.dev with everything bundled in-cluster - one `helm install`, default values, no external dependencies. Run the **production install** for real workloads: external Postgres, Redis, ClickHouse, and object storage, your own secrets, and HA on the datastores you already operate. Each configuration decision below belongs to one path or the other. This guide alone is unlikely to produce a hardened production deployment - securing, scaling, and reliability-tuning your cluster remain yours to own. Should the burden get too much, we'd be happy to see you on [Trigger.dev cloud](https://trigger.dev/pricing) where we deal with these concerns for you. ## Architecture The chart deploys a webapp, a supervisor, and the datastores they depend on. The supervisor pulls runs from the webapp and schedules each one onto a worker node, which executes the task in a container sized by its machine preset. ```mermaid flowchart TD webapp["webapp
API + dashboard"] supervisor["supervisor"] workers["worker nodes
task containers"] pg[("Postgres
primary DB")] redis[("Redis
queue / state")] ch[("ClickHouse
task events v2")] obj[("object storage
MinIO / external S3")] reg[("registry
deploy images")] s2[("s2 / s2-lite
realtime streams v2")] webapp --> pg webapp --> redis webapp --> ch webapp --> obj webapp --> s2 webapp -->|worker token| supervisor supervisor --> workers workers --> reg ``` Each component maps to a top-level key in `values.yaml`: `webapp`, `supervisor`, `postgres`, `redis`, `electric`, `clickhouse`, `s3` (object storage), `s2`, and `registry`. The datastores default to `deploy: true` and run in-cluster; set `deploy: false` with an `external` block to bring your own. The registry is the exception - it defaults to `deploy: false`, so you point it at an external one. Webapp settings live under `webapp`, supervisor settings under `supervisor.config`, and each service takes `extraEnvVars` for anything else. ## Requirements ### Prerequisites - Kubernetes cluster 1.19+ - Helm 3.8+ - Kubectl with cluster access ### Resources The following are minimum requirements for running the entire stack on Kubernetes: **Cluster resources:** - 6+ vCPU total - 12+ GB RAM total - Persistent volume support **Individual components:** - **Webapp**: 1 vCPU, 2 GB RAM - **Supervisor**: 1 vCPU, 1 GB RAM - **PostgreSQL**: 1 vCPU, 2 GB RAM - **Redis**: 0.5 vCPU, 1 GB RAM - **ClickHouse**: 1 vCPU, 2 GB RAM - **Object Storage**: 0.5 vCPU, 1 GB RAM - **Workers**: Depending on concurrency and machine preset These requirements scale based on your task concurrency and can be adjusted via the `resources` section in your `values.yaml`. For example: ```yaml webapp: resources: requests: cpu: 500m memory: 1Gi limits: cpu: 2000m memory: 4Gi ``` ## Evaluation install Bundled datastores let you run the whole stack with a single command and no external services. The default values are insecure and are only suitable for testing - for real workloads, follow the [production install](#production-install) instead. ```bash helm upgrade -n trigger --install trigger \ oci://ghcr.io/triggerdotdev/charts/trigger \ --version "^4.5.0" \ --create-namespace ``` The chart deploys the webapp, supervisor, and bundled Postgres, Redis, Electric, ClickHouse, MinIO, and s2-lite. The registry is not deployed by default - configure an external one before deploying tasks. ```bash kubectl port-forward svc/trigger-webapp 3040:3030 -n trigger ``` The dashboard is now reachable at `http://localhost:3040`. Default installs print the login link to the webapp logs instead of sending email. ```bash kubectl logs -n trigger deployment/trigger-webapp | grep -A1 "magic link" ``` Open the printed link to sign in. ### Verify it Confirm every component reached a healthy state: ```bash kubectl get pods -n trigger ``` The webapp, supervisor, and each bundled datastore pod should report `Running` with all containers `READY`. Migrations and bootstrap run inside the webapp pod rather than as separate jobs, so if the webapp stays unready, check its logs. If a pod is stuck in `Pending` or `CrashLoopBackOff`, jump to [Troubleshooting](#troubleshooting). Once you can sign in and trigger a run, you've validated the stack. For a deployment that survives restarts, upgrades, and load, move on to the production install. ## Production install Running external datastores is the requirement that separates a production install from an evaluation one. You supply your own Postgres, Redis, ClickHouse, and object storage, manage secrets yourself, and point the chart at each service. The steps below layer onto the same `helm upgrade` command, driven by a custom values file. ### Secrets Application, control-plane, and bundled-datastore secrets left unset are generated on first install and **retained across `helm upgrade`** - they are never rotated automatically, so sessions, encrypted data, and datastore volumes survive upgrades. This auto-generation is the default and needs no configuration. For production, supply your own Secret instead so credentials live outside the release. With `secrets.existingSecret` set, the chart generates nothing and reads every key from your Secret; a preflight check fails the install - before touching a running release - and lists any keys it can't find. To pin values inline instead of letting the chart generate them - for example to share `MANAGED_WORKER_SECRET` with an external supervisor - set them under `secrets`: ```yaml secrets: enabled: true sessionSecret: "your-32-char-hex-secret-1" magicLinkSecret: "your-32-char-hex-secret-2" # ... ``` To use an existing Secret instead, leave the values unset and set `existingSecret`. It must contain at least `SESSION_SECRET`, `MAGIC_LINK_SECRET`, `ENCRYPTION_KEY`, `PROVIDER_SECRET`, `COORDINATOR_SECRET`, and `MANAGED_WORKER_SECRET` - plus `s3-auth-access-key-id` and `s3-auth-secret-access-key` if you deploy the bundled MinIO with `s3.auth.existingSecret` cleared: ```yaml secrets: enabled: false existingSecret: "your-existing-secret" ``` The chart wires `PROVIDER_SECRET` and `COORDINATOR_SECRET` into the webapp deployment, and the pre-upgrade check requires both, so an existing Secret must include them. For a deployment that already runs, add them before upgrading: ```bash kubectl patch secret my-trigger-secrets -n trigger --type merge -p \ "{\"stringData\":{\"PROVIDER_SECRET\":\"$(openssl rand -hex 16)\",\"COORDINATOR_SECRET\":\"$(openssl rand -hex 16)\"}}" ``` There is no clean migration for a compromised `ENCRYPTION_KEY`: changing it makes existing encrypted data unreadable. If a deployment is still running a previously published default and cannot rotate yet, set `ALLOW_INSECURE_DEFAULT_SECRETS=true` on the webapp to keep booting while you plan a migration. GitOps tools that render with `helm template` (e.g. Argo CD) cannot read the existing secret, so they regenerate auto-generated values on every sync - which rotates them. If you deploy via GitOps, always supply your own `secrets.existingSecret` (and datastore credentials) so nothing is generated in-cluster. ### Custom values Most values map directly to the environment variables documented in the [webapp](/self-hosting/env/webapp) and [supervisor](/self-hosting/env/supervisor) environment variable overview. Environment variables use `UPPER_SNAKE_CASE`; Helm values use `camelCase`: ```bash # Environment variable APP_ORIGIN=https://trigger.example.com # Becomes Helm value webapp: appOrigin: "https://trigger.example.com" ``` Print the full default surface for the version you're deploying: ```bash # Specific version helm show values oci://ghcr.io/triggerdotdev/charts/trigger \ --version "4.5.0" # Latest v4 helm show values oci://ghcr.io/triggerdotdev/charts/trigger \ --version "^4.5.0" ``` Create a `values-custom.yaml` that overrides the defaults with your URLs and resource requests: ```yaml # Application URLs and resource limits webapp: appOrigin: "https://trigger.example.com" loginOrigin: "https://trigger.example.com" apiOrigin: "https://trigger.example.com" resources: requests: cpu: 1000m memory: 2Gi limits: cpu: 2000m memory: 4Gi supervisor: resources: requests: cpu: 200m memory: 512Mi limits: cpu: 1000m memory: 2Gi ``` Deploy with your custom values: ```bash helm upgrade -n trigger --install trigger \ oci://ghcr.io/triggerdotdev/charts/trigger \ --version "^4.5.0" \ --create-namespace \ -f values-custom.yaml ``` Set extra environment variables on any service: ```yaml webapp: extraEnvVars: - name: EXTRA_ENV_VAR value: "extra-value" ``` Set extra annotations on any service: ```yaml webapp: podAnnotations: "my-annotation": "my-value" ``` ### External services Disable each built-in datastore and point the chart at your own. Every service supports direct configuration or an existing Kubernetes secret; use existing secrets to keep credentials out of `values.yaml` and Helm releases. #### PostgreSQL **Direct configuration:** ```yaml postgres: deploy: false external: databaseUrl: "postgresql://user:password@host:5432/database?schema=public" directUrl: "" # Optional, defaults to databaseUrl ``` **Using existing secrets (recommended):** ```yaml postgres: deploy: false external: existingSecret: "postgres-credentials" # Optional: Use secretKeys to specify the key names in the secret # secretKeys: # databaseUrlKey: "postgres-database-url" # default # directUrlKey: "postgres-direct-url" # default ``` #### Redis **Direct configuration:** ```yaml redis: deploy: false external: host: "my-redis.example.com" port: 6379 password: "my-password" tls: enabled: true ``` **Using existing secrets (recommended):** ```yaml redis: deploy: false external: host: "my-redis.example.com" port: 6379 existingSecret: "redis-credentials" # existingSecretPasswordKey: "redis-password" # default (optional) tls: enabled: true ``` #### ClickHouse Migration from the old Bitnami subchart to the official `clickhouse/clickhouse-server` image is automatic - a normal upgrade moves you across with no manual step. The one exception: if you pinned `clickhouse.image` to a Bitnami tag, switch it to an official `clickhouse/clickhouse-server` tag first, since Bitnami tags don't exist in the official repository. Trigger.dev requires ClickHouse 25.8 or newer. The bundled ClickHouse is single-node — run ClickHouse externally for a clustered or replicated setup. **Direct configuration:** ```yaml clickhouse: deploy: false external: host: "my-clickhouse.example.com" httpPort: 8123 username: "my-username" password: "my-password" ``` An inline external `username`/`password` is percent-encoded into the connection URL for you, so store the **raw** value - special characters like `@ : / %` are handled automatically. (Credentials from `existingSecret` are injected at runtime and are unaffected.) **Using existing secrets (recommended):** ```yaml clickhouse: deploy: false external: host: "my-clickhouse.example.com" httpPort: 8123 username: "my-username" existingSecret: "clickhouse-credentials" # existingSecretKey: "clickhouse-password" # default (optional) ``` #### Object storage Object storage holds deploy artifacts and large payloads. See the [Docker object storage setup](/self-hosting/docker#object-storage) for conceptual information. Disable the bundled MinIO and point at any S3-compatible endpoint. **Direct configuration:** ```yaml s3: deploy: false external: endpoint: "https://s3.amazonaws.com" accessKeyId: "my-access-key" secretAccessKey: "my-secret-key" ``` **Using existing secrets (recommended):** ```yaml s3: deploy: false external: endpoint: "https://s3.amazonaws.com" existingSecret: "s3-credentials" # Optional: override the key names in the secret # existingSecretAccessKeyIdKey: "access-key-id" # default # existingSecretSecretAccessKeyKey: "secret-access-key" # default ``` ### PostgreSQL SSL with custom CA certificates When connecting to PostgreSQL instances that require custom CA certificates (such as AWS RDS with SSL verification), mount the CA certificate as a volume and configure the webapp to use it: ```yaml postgres: deploy: false external: databaseUrl: "postgresql://user:password@mydb.example.com:5432/triggerdb?schema=public&sslmode=require" # Alternatively, use an existing secret existingSecret: "postgres-credentials" # secretKeys: # databaseUrlKey: "postgres-database-url" # default connection: sslMode: "require" # Webapp configuration with SSL CA certificate webapp: extraEnvVars: - name: NODE_EXTRA_CA_CERTS value: "/etc/ssl/certs/postgres-ca.crt" extraVolumes: - name: postgres-ca-cert secret: secretName: postgres-ca-secret items: - key: ca.crt path: postgres-ca.crt extraVolumeMounts: - name: postgres-ca-cert mountPath: /etc/ssl/certs readOnly: true ``` **Benefits:** - No plaintext credentials in `values.yaml` or Helm releases - Complete `DATABASE_URL` stored securely in Kubernetes secrets - Compatible with secret management tools (External Secrets Operator, etc.) - Follows Kubernetes security best practices ### Registry setup Built deploy images are pushed to a registry. See the [Docker registry setup](/self-hosting/docker#registry-setup) for conceptual information. Configure an external registry in your `values.yaml`: ```yaml # Use external registry (recommended) registry: deploy: false # Part of deployment image ref, for example: your-registry.example.com/your-company/proj_123:20250625.1.prod repositoryNamespace: "your-company" external: host: "your-registry.example.com:5000" auth: enabled: true username: "your-username" password: "your-password" ``` The internal registry (`registry.deploy: true`) is experimental and requires proper TLS setup and additional cluster configuration. Use an external registry for production. ### DNS performance For production clusters we recommend deploying [NodeLocal DNSCache](https://kubernetes.io/docs/tasks/administer-cluster/nodelocaldns/). DNS queries — especially to managed Postgres or Redis endpoints — can be very slow under Kubernetes' default resolver, and a node-local cache typically gives a large step change in latency and throughput across the cluster. The default `ndots: 5` setting also forces every cluster search domain to be tried before resolving hostnames with fewer dots (the case for most external database hosts). Lowering `ndots` to `1` on the webapp and supervisor pods avoids those extra round-trips. ### Authentication Authentication options are identical to the [Docker-based installation](/self-hosting/docker#authentication). Configure the provider in your `values.yaml`: **GitHub OAuth:** ```yaml webapp: extraEnvVars: - name: AUTH_GITHUB_CLIENT_ID value: "your-github-client-id" - name: AUTH_GITHUB_CLIENT_SECRET value: "your-github-client-secret" ``` **Email authentication (Resend):** ```yaml webapp: extraEnvVars: - name: EMAIL_TRANSPORT value: "resend" - name: FROM_EMAIL value: "noreply@yourdomain.com" - name: REPLY_TO_EMAIL value: "support@yourdomain.com" - name: RESEND_API_KEY value: "your-resend-api-key" ``` **Restricting access:** ```yaml webapp: extraEnvVars: - name: WHITELISTED_EMAILS value: "^(user1@company\\.com|user2@company\\.com)$" ``` ### Worker token The supervisor authenticates to the webapp with a worker token. The default bootstrap path generates one for you; supply your own token to manage workers separately. **Bootstrap (default):** the webapp generates a worker token and makes it available to the supervisor via a shared volume. ```yaml webapp: bootstrap: enabled: true workerGroupName: "bootstrap" ``` **Manual:** to set up workers separately or use a custom token: ```bash kubectl logs deployment/trigger-webapp -n trigger | grep -A15 "Worker Token" ``` ```bash kubectl create secret generic worker-token \ --from-literal=token=tr_wgt_your_token_here \ -n trigger ``` ```yaml supervisor: bootstrap: enabled: false workerToken: secret: name: "worker-token" key: "token" ``` With external datastores, secrets, registry, and authentication in place, you have a production install. If you only wanted to try Trigger.dev, the [evaluation install](#evaluation-install) gets you there in one command. ## Operating your deployment ### Upgrading `helm upgrade` is safe to run as-is. Your generated secrets, data volumes, and the bundled ClickHouse are preserved and migrated automatically, so a normal upgrade needs no preparation. A few situations need one manual step first — expand any that apply to you. With `secrets.existingSecret` set, the chart reads every key from your Secret and generates none, so any key the app needs must already be present there. As of chart 4.5.6 the webapp deployment references `PROVIDER_SECRET` and `COORDINATOR_SECRET`, and the pre-upgrade check requires both, so an existing Secret must carry them. Add both before upgrading: ```bash kubectl patch secret my-trigger-secrets -n trigger --type merge -p \ "{\"stringData\":{\"PROVIDER_SECRET\":\"$(openssl rand -hex 16)\",\"COORDINATOR_SECRET\":\"$(openssl rand -hex 16)\"}}" ``` If a required key is missing, the upgrade stops before touching your running release and tells you which to add. The bundled datastore passwords live in the `trigger-datastore` Secret. If a maintenance job, a dashboard, or a secret sync reads one directly, point it there: ```bash kubectl get secret trigger-datastore -n trigger \ -o jsonpath='{.data.clickhouse-admin-password}' | base64 -d ``` The keys are `clickhouse-admin-password`, `postgres-password`, and `minio-root-user` / `minio-root-password`. During an upgrade the chart reads the cluster to keep your data and to check your Secret. Renderers that run offline can't do that, so set these yourself: - Point `clickhouse.persistence.existingClaim` at your ClickHouse data volume (`data--clickhouse-shard0-0`) and keep it set on future syncs, so ClickHouse reuses its data instead of starting on an empty volume. - Confirm `PROVIDER_SECRET` and `COORDINATOR_SECRET` are already in your Secret before syncing. ### Version locking Trigger.dev 4.5.0 is the last version we officially support for running v3 (SDK v3) tasks. If you still have v3 tasks, pin to exactly 4.5.0 or [migrate to v4](/migrating-from-v3). 4.5.1 and later reject v3 triggers and deploys with an upgrade message. Lock versions in two ways. **Helm chart version (recommended):** ```bash # Pin to a specific version for production helm upgrade -n trigger --install trigger \ oci://ghcr.io/triggerdotdev/charts/trigger \ --version "4.5.0" # The app version will be different from the chart version # This is the version of the Trigger.dev webapp and supervisor # ..and should always match your Trigger.dev CLI version helm show chart \ oci://ghcr.io/triggerdotdev/charts/trigger \ --version "4.5.0" | grep appVersion ``` **Specific image tags:** ```yaml webapp: image: tag: "v4.5.0" supervisor: image: tag: "v4.5.0" ``` The chart version's `appVersion` field determines the default image tags. Newer image tags may be incompatible with older chart versions and vice versa. ### Troubleshooting **Check logs:** ```bash # Webapp logs kubectl logs deployment/trigger-webapp -n trigger -f # Supervisor logs kubectl logs deployment/trigger-supervisor -n trigger -f # All pods kubectl logs -l app.kubernetes.io/instance=trigger -n trigger -f ``` **Check pod status:** ```bash kubectl get pods -n trigger kubectl describe pod -n trigger ``` **Start from scratch:** ```bash # Delete the release helm uninstall trigger -n trigger # Delete persistent volumes (optional) # WARNING: This will delete all your data! kubectl delete pvc -l app.kubernetes.io/instance=trigger -n trigger # Delete the namespace (optional) kubectl delete namespace trigger ``` **Common issues:** - **Magic links not working**: Check webapp logs for email delivery errors - **Deploy fails**: Verify registry access and authentication - **Pods stuck pending**: Describe the pod and check the events - **Worker token issues**: Check webapp and supervisor logs for errors See the [Docker troubleshooting](/self-hosting/docker#troubleshooting) section for more information. ### Task events By default, task events (timeline, logs, spans) are stored in PostgreSQL. For production deployments we recommend storing them in ClickHouse instead, it scales to much higher volumes and avoids unbounded growth of the `TaskEvent` table. ClickHouse is already deployed by the chart, so no extra services are required. To enable, set `EVENT_REPOSITORY_DEFAULT_STORE` on the webapp via `extraEnvVars`: ```yaml webapp: extraEnvVars: - name: EVENT_REPOSITORY_DEFAULT_STORE value: "clickhouse_v2" ``` This only affects new runs; existing runs continue to read from wherever their events were originally stored. ### Realtime streams Realtime streams power AI-agent token streaming and run streams. They default to **v2**, backed by the bundled `s2` deployment — [s2-lite](https://s2.dev), the open-source, self-hostable S2 server. The chart deploys it with a persistent volume, so no extra services are required. To fall back to the Redis-backed **v1** streams, set the default version to `v1`: ```yaml s2: defaultStreamVersion: "v1" ``` To use a hosted S2 at [s2.dev](https://s2.dev) instead of the bundled s2-lite, disable the bundled deployment and point at your basin. Supply the access token via an existing secret: ```yaml s2: deploy: false skipAccessTokens: false external: endpoint: "https://your-basin.b.aws.s2.dev/v1" existingSecret: "s2-credentials" existingSecretAccessTokenKey: "access-token" basin: "your-basin" ``` To disable realtime streams v2 entirely and use v1, set `s2.deploy: false` with no external endpoint. See `helm show values` for all `s2` options. ### CLI usage See the [Docker CLI usage](/self-hosting/docker#cli-usage) section, the commands are identical regardless of deployment method. ### CI / GitHub Actions When running the CLI in a CI environment, your login profiles won't be available. Instead, use the `TRIGGER_API_URL` and `TRIGGER_ACCESS_TOKEN` environment variables to point at your self-hosted instance and authenticate. For more detailed instructions, see the [GitHub Actions guide](/github-actions). ### Telemetry By default, the Trigger.dev webapp sends telemetry data to our servers. This data is used to improve the product and is not shared with third parties. To disable telemetry, set in your `values.yaml`: ```yaml telemetry: enabled: false ```