Control
Keep infrastructure and data workflows inside your boundary.
Private Cloud Postgres
Give internal teams a managed-like Postgres experience while keeping infrastructure, networks, and data governance under your control.
Vela helps private-cloud platform teams standardize Postgres lifecycle workflows: provision, branch, clone, validate, recover, and retire.
For teams that want platform speed without moving every database workflow into a shared public DBaaS.
Control
Keep infrastructure and data workflows inside your boundary.
Self-service
Give developers branches and clones without tickets.
Postgres
Keep standard PostgreSQL behavior and tooling.
Governance
Align lifecycle operations with platform policy.
Why It Matters
Private cloud programs often focus on infrastructure ownership first: where data lives, who controls the network, which teams manage compute, and which policy boundaries apply. Those decisions matter, but they do not automatically create a good database experience for internal users.
A private-cloud Postgres platform needs a product-like operating model. Developers should be able to request branches, QA environments, and migration validation paths without rebuilding the same scripts in every team.
Vela helps platform teams deliver that self-service workflow while keeping control boundaries explicit. It keeps Postgres recognizable and makes database lifecycle operations easier to standardize.
Where It Fits
Use Vela when the goal is a database platform experience, not only self-managed infrastructure.
Offer Postgres branches and environments through a repeatable self-service workflow.
Keep data and operations within approved network, infrastructure, and governance boundaries.
Move toward private cloud without losing the developer workflows teams expect from modern DBaaS.
Operating Model
The operating model is what separates private cloud from a pile of manually managed databases.
Map where data, logs, backups, and branch environments are allowed to live.
Create common workflows for provisioning, branching, recovery, and cleanup.
Let developers use branches while platform teams keep policy and ownership clear.
Track which teams use branches, clones, and recovery workflows instead of one-off tickets.
Capabilities
Vela focuses on the workflow layer around PostgreSQL.
Create isolated Postgres environments for development, QA, and migration testing.
Keep infrastructure ownership aligned with internal platform strategy.
Reduce manual tickets for common database lifecycle work.
Make access, retention, and lifecycle rules part of the platform.
For Platform Leaders
Private cloud only works when internal teams get a usable platform, not just infrastructure ownership. Vela helps turn Postgres operations into repeatable product workflows.
Talk to the Vela teamDecision Guide
The right option depends on whether you need raw control or a usable internal platform.
| Dimension | Self-managed Postgres | Public DBaaS | Vela private-cloud workflow |
|---|---|---|---|
| Control | High | Lower | High |
| Developer experience | Usually manual | Strong but vendor-defined | Self-service inside your boundary |
| Branching | Custom-built | Vendor-dependent | Core workflow |
| Governance | Team-defined | Service-defined | Platform-defined |
| Best fit | DBA-led ops | Cloud-first teams | Private-cloud platform teams |
Related Paths
FAQ
It is a PostgreSQL operating model where infrastructure and data workflows stay inside a customer-controlled cloud or enterprise boundary.
Vela adds branch, clone, lifecycle, and self-service workflows around PostgreSQL while keeping the deployment aligned with customer control boundaries.
No. Self-managed Postgres is an operations model; Vela targets a platform workflow with self-service and governance.
Usually a platform or database platform team should own the guardrails, while development teams consume standard workflows.
Teams should define infrastructure boundaries, access controls, branch policies, backup rules, recovery testing, and service ownership.
Use Vela to keep control without giving up database platform ergonomics.