stakater/Reloader

Reloader v2, rebuilt on the Operator SDK, has been released. All new development happens on the v2 branch.

The master branch (Reloader v1) is feature-frozen and will only receive security and critical bug fixes. Please open new feature requests and pull requests against v2, and see the contribution guide for branch and PR title rules.

Reloader is a Kubernetes controller that automatically triggers rollouts of workloads (like Deployments, StatefulSets, and more) whenever referenced Secrets, ConfigMaps or optionally CSI-mounted secrets are updated.

In a traditional Kubernetes setup, updating a Secret or ConfigMap does not automatically restart or redeploy your workloads. This can lead to stale configurations running in production, especially when dealing with dynamic values like credentials, feature flags, or environment configs.

Reloader bridges that gap by ensuring your workloads stay in sync with configuration changes — automatically and safely.

📚 Full documentation is available at Stakater documentation site

• ✅ Zero manual restarts: No need to manually rollout workloads after config/secret changes.
• 🔒 Secure by design: Ensure your apps always use the most up-to-date credentials or tokens.
• 🛠️ Flexible: Works with all major workload types — Deployment, StatefulSet, Daemonset, ArgoRollout, and more.
• ⚡ Fast feedback loop: Ideal for CI/CD pipelines where secrets/configs change frequently.
• 🔄 Out-of-the-box integration: Just label your workloads and let Reloader do the rest.

flowchart LR
  ExternalSecret -->|Creates| Secret
  SealedSecret -->|Creates| Secret
  Certificate -->|Creates| Secret
  Secret -->|Watched by| Reloader
  ConfigMap -->|Watched by| Reloader

  Reloader -->|Triggers Rollout| Deployment
  Reloader -->|Triggers Rollout| DeploymentConfig
  Reloader -->|Triggers Rollout| Daemonset
  Reloader -->|Triggers Rollout| Statefulset
  Reloader -->|Triggers Rollout| ArgoRollout
  Reloader -->|Triggers Job| CronJob
  Reloader -->|Sends Notification| Slack,Teams,Webhook

• Sources like ExternalSecret, SealedSecret, or Certificate from cert-manager can create or manage Kubernetes Secrets — but they can also be created manually or delivered through GitOps workflows.
• Secrets and ConfigMaps are watched by Reloader.
• When changes are detected, Reloader automatically triggers a rollout of the associated workloads, ensuring your app always runs with the latest configuration.

Reloader OSS is free and production-proven with 24B+ downloads.

For teams with stricter requirements:

→ Contact Sales for info about Reloader Enterprise.

Follow any of this installation options.

To enable automatic reload for a Deployment:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-app
  annotations:
    reloader.stakater.com/auto: "true"
spec:
  template:
    metadata:
      labels:
        app: my-app
    spec:
      containers:
        - name: app
          image: your-image
          envFrom:
            - configMapRef:
                name: my-config
            - secretRef:
                name: my-secret

This tells Reloader to watch the ConfigMap and Secret referenced in this deployment. When either is updated, it will trigger a rollout.

Reloader supports multiple annotation-based controls to let you customize when and how your Kubernetes workloads are reloaded upon changes in Secrets or ConfigMaps.

Kubernetes does not trigger pod restarts when a referenced Secret or ConfigMap is updated. Reloader bridges this gap by watching for changes and automatically performing rollouts — but it gives you full control via annotations, so you can:

• Reload all resources by default
• Restrict reloads to only Secrets or only ConfigMaps
• Watch only specific resources
• Use opt-in via tagging (search + match)
• Exclude workloads you don’t want to reload

Use these annotations to automatically restart the workload when referenced Secrets or ConfigMaps change.

These annotations allow you to manually define which ConfigMaps or Secrets should trigger a reload, regardless of whether they're used in the pod spec.

1. ✅ This is useful in tightly scoped scenarios where config is shared but reloads are only relevant in certain cases.
2. ✅ Use this when you know exactly which resource(s) matter and want to avoid auto-discovery or searching altogether.

This pattern allows fine-grained reload control — workloads only restart if the Secret/ConfigMap is both:

1. Referenced by the workload
2. Explicitly annotated with match: true

1. The workload must have: reloader.stakater.com/search: "true"
2. The ConfigMap or Secret must have: reloader.stakater.com/match: "true"
3. The resource (ConfigMap or Secret) must also be referenced in the workload (via env, volumeMount, etc.)

1. ✅ You want to reload a workload only if it references a ConfigMap or Secret that has been explicitly tagged with reloader.stakater.com/match: "true".
2. ✅ Use this when you want full control over which shared or system-wide resources trigger reloads. Great in multi-tenant clusters or shared configs.

When you need to prevent specific ConfigMaps or Secrets from triggering any reloads, use the ignore annotation on the resource itself:

apiVersion: v1
kind: ConfigMap  # or Secret
metadata:
  name: my-config
  annotations:
    reloader.stakater.com/ignore: "true"

This instructs Reloader to skip all reload logic for that resource across all workloads.

Note: This is only applicable when using Argo Rollouts. It is ignored for standard Kubernetes Deployments, StatefulSets, or DaemonSets. To use this feature, Argo Rollouts support must be enabled in Reloader (for example via --is-argo-rollouts=true).

By default, Reloader triggers the Argo Rollout controller to perform a standard rollout by updating the pod template. This works well in most cases, however, because this modifies the workload spec, GitOps tools like ArgoCD will detect this as "Configuration Drift" and mark your application as OutOfSync.

To avoid that, you can switch to the restart strategy, which simply restarts the pod without changing the pod template.

metadata:
  annotations:
    reloader.stakater.com/rollout-strategy: "restart"

✅ Use restart if:

1. You're using GitOps and want to avoid drift
2. You want a quick restart without changing the workload spec
3. Your platform restricts metadata changes

This setting affects Argo Rollouts behavior, not Argo CD sync settings.

• reloader.stakater.com/auto and reloader.stakater.com/search cannot be used together — the auto annotation takes precedence.
• If both auto and its typed versions (secret.reloader.stakater.com/auto, configmap.reloader.stakater.com/auto) are used, only one needs to be true to trigger a reload.
• Setting reloader.stakater.com/auto: "false" explicitly disables reload for that workload.
• If --auto-reload-all is enabled on the controller:
  • All workloads are treated as if they have auto: "true" unless they explicitly set it to "false".
  • Missing or unrecognized annotation values are treated as "false".

Reloader can optionally send alerts whenever it triggers a rolling upgrade for a workload (e.g., Deployment, StatefulSet, etc.).

These alerts are sent to a configured webhook endpoint, which can be a generic receiver or services like Slack, Microsoft Teams or Google Chat.

To enable this feature, update the reloader.env.secret section in your values.yaml (when installing via Helm):

reloader:
  deployment:
    env:
      secret:
        ALERT_ON_RELOAD: "true"                    # Enable alerting (default: false)
        ALERT_SINK: "slack"                        # Options: slack, teams, gchat or webhook (default: webhook)
        ALERT_WEBHOOK_URL: "<your-webhook-url>"    # Required if ALERT_ON_RELOAD is true
        ALERT_ADDITIONAL_INFO: "Triggered by Reloader in staging environment"

This feature allows you to pause rollouts for a deployment for a specified duration, helping to prevent multiple restarts when several ConfigMaps or Secrets are updated in quick succession.

1. Add the deployment.reloader.stakater.com/pause-period annotation to your Deployment, specifying the pause duration (e.g., "5m" for five minutes).
2. When a watched ConfigMap or Secret changes, Reloader will still trigger a reload event, but if the deployment is paused, the rollout will have no effect until the pause period has elapsed.
3. This avoids repeated restarts if multiple resources are updated close together.

1. ✅ Your deployment references multiple ConfigMaps or Secrets that may be updated at the same time.
2. ✅ You want to minimize unnecessary rollouts and reduce downtime caused by back-to-back configuration changes.

Reloader supports the Secrets Store CSI Driver, which allows mounting secrets from external secret stores (like AWS Secrets Manager, Azure Key Vault, HashiCorp Vault) directly into pods. Unlike Kubernetes Secret objects, CSI-mounted secrets do not always trigger native Kubernetes update events. Reloader solves this by watching CSI status resources and restarting affected workloads when mounted secret versions change.

When secret rotation is enabled, the Secrets Store CSI Driver updates a Kubernetes resource called: SecretProviderClassPodStatus

This resource reflects the currently mounted secret versions for a pod. Reloader watches these updates and triggers a rollout when a change is detected.

• Secrets Store CSI Driver must be installed in your cluster
• Secret rotation enabled in the CSI driver.
• Enable CSI integration in Reloader: --enable-csi-integration=true

Reloader monitors changes at the per-secret level by watching the SecretProviderClassPodStatus. Make sure each secret you want to monitor is properly defined with a secretKey in your SecretProviderClass:

apiVersion: secrets-store.csi.x-k8s.io/v1
kind: SecretProviderClass
metadata:
  name: vault-reloader-demo
  namespace: test
spec:
  provider: vault
  parameters:
    vaultAddress: "http://vault.vault.svc:8200"
    vaultSkipTLSVerify: "true"
    roleName: "demo-role"
    objects: |
      - objectName: "password"
        secretPath: "secret/data/reloader-demo"
        secretKey: "password"

Important: Reloader tracks changes to individual secrets (identified by secretKey). If your SecretProviderClass doesn't specify secretKey for each object, Reloader may not detect updates correctly.

Reloader reacts to CSI status changes, not direct updates to external secret stores Secret rotation must be enabled in the CSI driver for updates to be detected CSI limitations (such as subPath mounts) still apply and may require pod restarts If secrets are synced to Kubernetes Secret objects, standard Reloader behavior applies and CSI support may not be required

Reloader can be installed in multiple ways depending on your Kubernetes setup and preference. Below are the supported methods:

helm repo add stakater https://stakater.github.io/stakater-charts
helm repo update
helm install reloader stakater/reloader

➡️ See full Helm configuration in the chart README.

Apply raw Kubernetes manifests directly:

kubectl apply -f https://raw.githubusercontent.com/stakater/Reloader/master/deployments/kubernetes/reloader.yaml

Use the built-in Kustomize support:

kubectl apply -k https://github.com/stakater/Reloader/deployments/kubernetes

You can create your own kustomization.yaml and use Reloader’s as a base:

apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization

resources:
  - https://github.com/stakater/Reloader/deployments/kubernetes

namespace: reloader

By default, Reloader is deployed with the following resource requests and limits:

resources:
  limits:
    cpu: 150m
    memory: 512Mi
  requests:
    cpu: 10m
    memory: 128Mi

These flags let you customize Reloader's behavior globally, at the Reloader controller level.

Reloader supports multiple strategies for triggering rolling updates when a watched ConfigMap or Secret changes. You can configure the strategy using the --reload-strategy flag.

• The env-vars strategy is the default and works in most setups.
• The annotations strategy is preferred in GitOps environments to prevent config drift in tools like ArgoCD or Flux.
• In annotations mode, a ConfigMap or Secret that is deleted and re-created will still trigger a reload (since previous state is not tracked).

⚠️ Note:

Only one resource type can be ignored at a time. Trying to ignore both configmaps and secrets will cause an error in Reloader. ✅ Workaround: Scale the Reloader deployment to 0 replicas if you want to disable it completely.

💡 Workload Type Examples:

# Ignore only Jobs
--ignored-workload-types=jobs

# Ignore only CronJobs
--ignored-workload-types=cronjobs

# Ignore both (comma-separated)
--ignored-workload-types=jobs,cronjobs

🔧 Use Case: Ignoring workload types is useful when you don't want certain types of workloads to be automatically reloaded.

These flags allow you to redefine annotation keys used in your workloads or resources:

When running multiple replicas with --enable-ha, leadership is held through a Kubernetes Lease. These flags tune the client-go leader election timings:

The lease duration must be a whole number of seconds of at least 1s, because it is persisted on the Lease as whole seconds and a follower judges expiry from that stored value — a fractional lease is truncated and can expire for followers before the leader reaches its renew deadline, allowing two leaders at once. It must also be greater than the renew deadline, and the renew deadline must be greater than the retry period multiplied by the jitter factor (1.2). Longer values reduce API server traffic and tolerate slower networks; shorter values shorten the failover gap after a leader is lost.

Reloader is compatible with Kubernetes >= 1.19

Reloader has 24B+ Docker pulls across thousands of Kubernetes clusters worldwide.

If you're running Reloader in production, we'd love to hear from you:

• 💬 Share your story → Show & Tell Discussion
• 🏷️ Add your logo → ADOPTERS.md

See who's using Reloader →

File a GitHub issue.

Join and talk to us on Slack for discussing Reloader:

• master is in feature freeze and accepts only bug fixes (fix:) and maintenance changes (chore:).
• v2 is the active development branch. Please open pull requests for new features against v2.

Pull request titles must follow the Conventional Commits format, for example fix(chart): correct probe port. The following prefixes are accepted on v2: feat, fix, chore, docs, refactor, perf, test, ci, build and revert.

Please use the issue tracker to report any bugs or file feature requests.

1. Deploy Reloader
2. Run okteto up to activate your development container
3. make build
4. ./Reloader

PRs are welcome. In general, we follow the "fork-and-pull" Git workflow:

1. Fork the repo on GitHub
2. Clone the project to your own machine
3. Commit changes to your own branch
4. Push your work back up to your fork
5. Submit a Pull request so that we can review your changes

NOTE: Be sure to merge the latest from "upstream" before making a pull request!

Repository GitHub releases: As requested by the community in issue 685, Reloader is now based on a manual release process. Releases are no longer done on every merged PR to the main branch, but manually on request.

To make a GitHub release:

1. Code owners create a release branch release-vX.Y.Z from master
2. Code owners run Init Release workflow to automatically generate version and manifests on the release branch
   • Set the TARGET_BRANCH parameter to release branch i.e. release-vX.Y.Z
   • Set the TARGET_VERSION to release version without 'v' i.e. X.Y.Z
3. A PR is created to bump the image version on the release branch, example: PR-798
4. Code owners create a GitHub release with tag vX.Y.Z and target branch release-vX.Y.Z, which triggers creation of images
5. Code owners create another branch from master and bump the helm chart version as well as Reloader image version.
   • Code owners create a PR with release/helm-chart label, example: PR-846

Repository git tagging: Push to the main branch will create a merge-image and merge-tag named merge-${{ github.event.number }}, for example merge-800 when pull request number 800 is merged.

View the releases page to see what has changed in each release.

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Reloader is maintained by Stakater. Like it? Please let us know at hello@stakater.com

See our other projects or contact us in case of professional services and queries on hello@stakater.com