Deploy your first Pro DAG
Take a DAG from Lite to a Kubernetes control plane — your first Pro deployment.
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Deploy & operate
Take Leoflow to production — deploy from CI, run the Helm chart, upgrade, back up, and keep the scheduler resilient.
Running Leoflow in production: promotion from Lite to Pro, the deploy pipeline, and the day-2 operations that keep a control plane healthy.
- Deploy your first Pro DAG — take a DAG from Lite to a Kubernetes control plane.
- CI/CD & deploy — build, push, and register DAGs from CI (GitHub Actions, GitLab, Cloud Build).
- Helm chart — install and configure the Pro control plane on Kubernetes.
- Upgrades · Backup & restore — day-2 lifecycle.
- Troubleshooting & observability — diagnose DAG, scheduler, and executor problems.
- Scheduler resilience · Warm worker pools — availability and latency.
- Agent credential transport · Pro TLS · Staging volume — the security and data-path internals.
CI/CD & deploy examples
Build, push and register DAGs from CI — GitHub Actions, GitLab CI, Cloud Build.
Helm chart
Install and configure the Leoflow Pro control plane on Kubernetes with the official Helm chart.
Upgrades
Upgrade a Leoflow control plane safely, edition by edition.
Backup & restore
Back up and restore Leoflow state — metadata, secrets, and logs.
Troubleshooting & observability
Diagnose DAG, scheduler and executor problems; where the logs and signals live.
Scheduler resilience
How the scheduler survives restarts, leader loss and partial failure.
Warm worker pools
Cut task start latency with pre-warmed worker pods.
Agent credential transport
How declared secrets reach the in-container agent, and the trust boundary.
Pro TLS (cert-manager)
Terminate TLS on the Pro control plane with cert-manager.
Staging volume
The ephemeral per-run volume that shares large data between tasks.