# Pipekit

- [Authentication](https://docs.pipekit.io/pipekit/authentication.md)
- [Entra](https://docs.pipekit.io/pipekit/authentication/entra.md)
- [Okta](https://docs.pipekit.io/pipekit/authentication/okta.md)
- [Runs](https://docs.pipekit.io/pipekit/runs.md): You can view all recent runs belonging to your organization(s).
- [Pipes](https://docs.pipekit.io/pipekit/pipes.md): Pipekit enhances the functionality of Argo Workflows by grouping runs of a given Workflow into Pipes. From here you can view and manage all your Pipe's runs in one place.
- [Managing Pipes](https://docs.pipekit.io/pipekit/pipes/managing-pipes.md)
- [Run/Sync Conditions](https://docs.pipekit.io/pipekit/pipes/managing-pipes/run-sync-conditions.md)
- [Secrets](https://docs.pipekit.io/pipekit/pipes/managing-pipes/secrets.md): You can store key value pairs in Pipekit and have them passed to your running workflow as environment variables.
- [Alerting](https://docs.pipekit.io/pipekit/pipes/managing-pipes/alerting.md): Pipekit Workflow Alerting lets you configure alerts for workflows through Slack or MS Teams integration. You can set alerts on specific workflow statuses such as QUEUED, RUNNING, FAILED or COMPLETED.
- [Pipe Runs](https://docs.pipekit.io/pipekit/pipes/pipe-runs.md): Pipekit Pipes collect workflow runs in a logical group. You can view all runs of a given workflow in a Pipe, even across Kubernetes clusters.
- [Run Graph (DAG)](https://docs.pipekit.io/pipekit/pipes/pipe-runs/run-graph.md)
- [Pod Logs](https://docs.pipekit.io/pipekit/pipes/pipe-runs/pod-logs.md)
- [Workflow Logs](https://docs.pipekit.io/pipekit/pipes/pipe-runs/workflow-logs.md)
- [Workflow YAML](https://docs.pipekit.io/pipekit/pipes/pipe-runs/workflow-yaml.md)
- [Cron Workflows](https://docs.pipekit.io/pipekit/pipes/cron-workflows.md): CronWorkflows
- [Externally Triggered Workflows](https://docs.pipekit.io/pipekit/pipes/externally-triggered-workflows.md): Externally-triggered Workflows
- [Metrics](https://docs.pipekit.io/pipekit/metrics.md): Pipekit Workflow Metrics
- [Templates](https://docs.pipekit.io/pipekit/templates.md): Pipekit enhances the Workflow Templates functionality of Argo Workflows by allowing you to version control your Workflow Templates and share them across multiple clusters.
- [Clusters](https://docs.pipekit.io/pipekit/clusters.md): Connect multiple clusters to Pipekit, and run workflows on different Kubernetes clusters while managing access and viewing the workflow results in one central dashboard.
- [Organization](https://docs.pipekit.io/pipekit/organization.md): Pipekit Organization
- [Access Control](https://docs.pipekit.io/pipekit/organization/access-control.md): Role-based access control (RBAC) lets your organization define who can see, run, and manage workflows — scoped to the teams and environments you define.
- [Creating an Organization](https://docs.pipekit.io/pipekit/organization/creating-orgs.md)
- [Managing Users](https://docs.pipekit.io/pipekit/organization/user-management.md)
- [Managing Alert Providers](https://docs.pipekit.io/pipekit/organization/alert-providers.md): Pipekit Workflow Alerting lets you configure alerts for workflows through Slack or MS Teams integration. You can set alerts on specific workflow statuses such as QUEUED, RUNNING, FAILED or COMPLETED.
- [Managing Bring Your Own Logging Backend](https://docs.pipekit.io/pipekit/organization/byo-logs.md): Pipekit BYO Logging Backend lets you collect and view workflow logs in a self-hosted Loki backend. This allows you to have the full logging experience managed by Pipekit without having Pipekit ever ac
- [Settings](https://docs.pipekit.io/pipekit/organization/settings.md)
- [Permissions](https://docs.pipekit.io/pipekit/organization/permissions.md): Namespace permissions are used to control the namespaces that individual users can access in a given cluster.


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