Deeploy Managing Deployments
Day-2 operations for Deeploy projects, jobs, updates, and controls.
Deeploy Managing Deployments
What this covers
This page focuses on day-2 operations after your first deploy: organizing jobs, updating runtime settings, controlling app lifecycle, and operating safely at scale.
Organize by Projects and Jobs
- Use one project per product, tenant group, or environment (
dev,staging,prod). - Keep jobs focused and explicit (single service per job where possible).
- Use naming conventions that encode ownership and purpose.
Manage networking and exposure
- Use Deeploy tunnel/domain integration for externally reachable services.
- Keep internal workloads private by default and expose only required ports.
- Treat domain and tunnel credentials as controlled secrets, not static config in repositories.
Update deployments safely
- Prefer template reuse for repeatable rollout behavior.
- Change one operational dimension at a time (resources, image, or commands) when debugging.
- Validate logs and health immediately after each rollout.
Control runtime through Deeploy channels
Based on Deeploy's command/control model, use:
- Instance-level commands for host or container runtime operations.
- App-level commands for service behavior and app-specific operations.
This split keeps operational controls clear when multiple jobs and teams share infrastructure.
Cost and reliability guardrails
- Keep sufficient USDC balance for active workloads and expected bursts.
- Track resource sizing against observed usage to avoid chronic over-provision.
- Review deployment states regularly so failed jobs are detected early.
Notable date
- Reviewed on February 23, 2026.
- Sources:
- https://ratio1.ai/blog/ratio1-deeploy-blog-1-decentralized-managed-container-orchestration
- https://ratio1.ai/blog/deeploy-unlocked-accessing-the-power-of-ratio1
- https://ratio1.ai/blog/deeploy-secrets-setup-guide
Next steps
- Continue with Deeploy End-to-End Example.