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niksis02 8b6c0649d3 feat: add Helm chart support for the standalone IAM service
This adds a new iamServer Deployment, split public and private Services, a PersistentVolumeClaim, and cert-manager Certificate resources so the standalone versitygw iam API server can be deployed directly from this chart, independently scalable from the S3 gateway and backed by either internal file storage or HashiCorp Vault, with Vault auth credentials and Vault TLS material kept in separate Kubernetes secrets. The gateway side gains iam.type=standalone client wiring that reaches the IAM service over its private mTLS endpoint, with certificates supplied either through an existing secret or auto-provisioned via cert-manager using a shared CA-type issuer so both peers can verify each other from their own certificate's ca.crt, and the chart auto-targets the in-chart service when no external endpoint is configured. gateway.logLevel and iamServer.logLevel replace the old boolean debug flag with the silent, debug, and unsafe levels the binary now supports, docker-entrypoint.sh gained iam as a recognized VGW_BACKEND value so the new deployment can start through the existing entrypoint, NetworkPolicy resources were corrected to use proper peer lists and to default to deny instead of allow when no ingress rules are configured, pod and Deployment selector labels were separated between the gateway and the IAM server to prevent them from matching each other's Services, and a battery of template time validation guards was added to fail fast on invalid combinations such as multiple replicas against the internal file store or a missing certificate for a TCP private endpoint, together with expanded helm lint coverage in CI for these new configurations.
2026-08-17 23:22:27 +04:00
..
2026-03-04 21:02:33 +01:00

versitygw Helm Chart

Versity is an S3-compatible storage gateway that proxies S3 API requests to a variety of backend storage systems.

Note

: the chart is currently in development state and breaking changes (with regards to the Helm values structure or the chart behavior) may occur until we reach a 1.0 release of the Helm chart.

Overview

versitygw is an S3-compatible gateway that fronts POSIX filesystems, ScoutFS, S3, Azure Blob Storage, or custom plugin backends. This chart deploys versitygw on Kubernetes as a Deployment and Service, with optional support for TLS termination, Ingress, HTTPRoutes, certificate provisioning (via cert-manager CRDs), IAM, an Admin API, a browser-based WebUI, persistent storage, and NetworkPolicy.

Prerequisites

  • Kubernetes 1.19+
  • Helm 3.8+ (OCI registry support)
  • optional: cert-manager (required when any of certificate.create, iam.standalone.certificate.create, or iamServer.private.certificate.create is enabled)

Installation

Basic installation (single user mode) with posix backend:

helm install my-versitygw oci://ghcr.io/versity/versitygw/charts/versitygw \
  --set auth.accessKey=myaccesskey \
  --set auth.secretKey=mysecretkey \
  --set gateway.backend.type=posix \
  --set persistence.enabled=true

Production note: Passing credentials via --set stores them in Helm's release history. For production deployments, create a Kubernetes Secret in advance and reference it with auth.existingSecret=<secret-name>. The Secret must contain the keys rootAccessKeyId and rootSecretAccessKey.

Upgrading

The versioning of this Helm chart and of versitygw itself are currently not coupled to each other.

By default, the Helm chart uses the latest tag for the versitygw container image. For production and multi-replica deployment, it is strongly recommended to always pin a specific version, like so:

# values.yaml

image:
  repository: ghcr.io/versity/versitygw
  tag: "v1.2.0"

To upgrade the versitygw version, only the image.tag value needs to be adjusted and the Helm charts needs to be re-deployed (with the same values), e.g.:

helm upgrade my-versitygw oci://ghcr.io/versity/versitygw/charts/versitygw \
  --reuse-values \
  --set image.tag=v1.3.1

To upgrade only the Helm chart, use the following command:

helm upgrade my-versitygw oci://ghcr.io/versity/versitygw/charts/versitygw \
  --reuse-values \
  --version 0.2.0

You can find the list of available Helm chart versions in the GitHub packages page.

Backend Storage

The gateway.backend.type value selects the storage backend. Use gateway.backend.args to pass backend-specific arguments. For the POSIX sidecar metadata store and POSIX/ScoutFS object versioning, prefer gateway.backend.sidecarDir and gateway.backend.versioningDir; the chart mounts those directories from persistent storage and wires the corresponding backend environment variables automatically.

Backend Description Example gateway.backend.args
posix POSIX-compatible local or network filesystem (default) /mnt/data
scoutfs ScoutFS high-performance filesystem /mnt/scoutfs
s3 Proxy to an existing S3-compatible object store --access KEY --secret SECRET --endpoint https://s3.example.com
azure Azure Blob Storage --account myaccount --key mykey
plugin Custom backend via shared library plugin /path/to/plugin.so

Example for POSIX with sidecar metadata:

gateway:
  backend:
    type: posix
    args: /mnt/data
    sidecarDir: /mnt/metadata

Example for POSIX or ScoutFS with object versioning enabled:

gateway:
  backend:
    type: posix
    args: /mnt/data
    versioningDir: /mnt/versioning

Optional Features

Feature Key values
TLS tls.enabled=true — serve HTTPS; supply a TLS Secret via certificate.secretName or let cert-manager provision one
cert-manager certificate.create=true, certificate.issuerRef, certificate.dnsNames
Ingress ingress.enabled=true, ingress.className, ingress.hosts, ingress.tls
HTTPRoute httpRoute.enabled=true — Gateway API successor to Ingress for S3 API; also admin.httpRoute.enabled=true and webui.httpRoute.enabled=true to expose the admin API and/or WebUI
Admin API admin.enabled=true — exposes a separate management API on admin.port (default 7071)
WebUI webui.enabled=true — browser-based management UI on webui.port (default 8080); set webui.apiGateways and webui.adminGateways to your externally reachable endpoints
Website Hosting website.enabled=true — static website hosting endpoint on website.port (default 8090); optionally set website.domain for virtual-host routing (e.g. example.com), or omit it for catch-all mode where the full hostname is the bucket name
IAM iam.enabled=true — identity and access management. iam.type=internal (default) stores accounts in a flat file alongside backend data; iam.type=standalone delegates to a separate standalone IAM API service — see Standalone IAM Service below
Persistence persistence.enabled=true — provisions a PVC for backend data and IAM storage; defaults to 10Gi, or uses a hostPath volume specified by persistence.hostPath
NetworkPolicy networkPolicy.enabled=true — restricts ingress to selected pods/namespaces; allows all egress
Debug logging gateway.logLevelsilent (default), debug (request/response logging, secrets masked), or unsafe (unmasked, local troubleshooting only)
Scheduling nodeSelector, affinity, tolerations, and topologySpreadConstraints — control pod placement and spread replicas across nodes/zones for high availability

Standalone IAM Service

In addition to iam.type=internal (flat-file IAM stored inside the gateway pod), the chart can deploy the standalone IAM API server — an AWS-compatible IAM Query API — as its own Deployment with separate public and private Services, and configure one or more gateways to use it via iam.type=standalone.

iam:
  enabled: true
  type: standalone
  standalone:
    # Left empty here: auto-targets the in-chart private IAM Service below.
    certificate:
      create: true
      issuerRef:
        kind: ClusterIssuer
        name: internal-ca

iamServer:
  enabled: true
  storage:
    type: internal   # or vault
  private:
    certificate:
      create: true
      issuerRef:
        kind: ClusterIssuer
        name: internal-ca

Key points:

  • Independent scaling: iamServer is a separate Deployment (iamServer.replicaCount), so it can be centralized and scaled independently of the gateway. Manage users/roles/policies against its public control-plane API (iamServer.port, default 7070) using the AWS CLI/SDK. It reuses the gateway root Secret by default; set iamServer.auth.existingSecret to separate the control-plane identity, and point iam.standalone.credentials.existingSecret at the corresponding client identity.
  • Storage: iamServer.storage.type is internal (file-backed, needs iamServer.persistence, is limited to one replica, and always uses a Recreate rollout) or vault (iamServer.storage.vault.*, centralized and required if iamServer.replicaCount > 1).
  • Separate Services: iamServer.service.type applies only to the public control-plane Service. The private listener is exposed by a separate, always-ClusterIP Service, so selecting NodePort or LoadBalancer does not publish the private port. Enable iamServer.tls before exposing the public API outside a trusted network.
  • Private mTLS endpoint: gateways reach the standalone IAM service over a private endpoint (iamServer.private.port, default 7443) that always requires mutual TLS on TCP. Provide certificates either via existingSecret (bring your own tls.crt/tls.key/ca.crt) or certificate.create=true to auto-provision via cert-manager.
  • Shared CA requirement: when using cert-manager auto-provisioning, iamServer.private.certificate.issuerRef and iam.standalone.certificate.issuerRef must reference the same CA-type issuer (an Issuer/ClusterIssuer of kind CA, or a Vault issuer) — one that populates ca.crt in the resulting Secret. Both sides verify their peer using their own certificate's ca.crt, which only works when both certificates share the same issuing CA.
  • External IAM service: to point a gateway at a standalone IAM service deployed outside this chart (or by a separate chart release), set iam.standalone.endpoint to its host:port and provide the mTLS material via iam.standalone.certificate.existingSecret.
  • Secret rotation: the processes load mTLS material and environment-based credentials at startup. After a referenced Secret rotates, restart both Deployments or configure a Secret-reloader controller through deploymentAnnotations and iamServer.deploymentAnnotations.

Scaling and Persistence

By default, this chart enables persistence via a PersistentVolumeClaim (PVC) to ensure data consistency and prevent data loss.

Alternatively, you may use hostPath volume by setting the persistence.hostPath value. As a general rule, this setup should only be used if all nodes in the cluster have access to the same data (e.g. NFS share is mounted on all nodes) or for single-node use cases. Special care must be taken particularly when using multiple replicas with such a setup, since Versity does not perform internal data replication ("clustering").

Horizontal Scaling (replicas > 1)

When scaling versitygw horizontally by setting replicaCount greater than 1, special care must be taken regarding the storage backend:

  • POSIX: This backend stores state on the filesystem.
    • Using ReadWriteOnce (RWO): All replicas must be scheduled on the same Kubernetes node to share the same volume. This is useful for process-level concurrency (e.g., when using high-performance local block storage) but limits high availability across nodes.
    • Using ReadWriteMany (RWX): Replicas can be distributed across multiple nodes in the cluster. This is the recommended approach for true horizontal scaling and high availability. When using RWX, it is also recommended to use pod anti-affinity (via affinity in values.yaml) or topology spread constraints (via topologySpreadConstraints in values.yaml) to ensure pods are distributed across nodes/zones.
  • IAM: iam.type=internal is limited to a single gateway replica because its file store does not coordinate concurrent writers. Use standalone IAM with Vault storage, LDAP, Vault-direct, or another external IAM backend before scaling the gateway above one replica.
  • Stateless Backends (S3, Azure): If you are using a stateless storage backend (e.g. proxying to another S3 store) and you are either not using IAM or using an external IAM provider (e.g. LDAP, Vault), persistence can be safely disabled by setting persistence.enabled=false.

Deployment Strategy

By default, the RollingUpdate strategy is used. If ReadWriteOnce (RWO) volumes are used and pods may be scheduled onto different nodes, rollouts may become stuck because the replacement pod cannot start. Consider setting strategy.type=Recreate in this case.

Configuration

See values.yaml for the full list of parameters and their defaults.