Qovery

Qovery is a self-service DevOps control plane that provisions and manages applications inside a customer's own AWS, GCP or Azure account and Kubernetes cluster, replacing manual platform setup for engineering teams.

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Published Updated

CategoryContainers & Kubernetes
AccessSee vendor
PricingPaid
APIAvailable
Overview

What is Qovery?

Qovery provisions and manages application environments, including the underlying Kubernetes cluster, inside a customer's own cloud account rather than hosting workloads itself (a "bring your own cloud" model). Developers deploy from git, and Qovery handles environment provisioning, preview environments, and infrastructure lifecycle so teams avoid building this tooling themselves.

Read the full overview

Sources checked 27 September 2026: official website, documentation, pricing.

Why teams use it

Key capabilities

  • Bring-your-own-cloud deployment: Applications run in your AWS, GCP or Azure account, not Qovery's.
  • Environments & previews: Git-based deploys with per-branch preview environments.
  • Managed cluster operations: Qovery provisions and operates the underlying Kubernetes cluster.
Core areas

Cloud-native application deployment and Kubernetes operations delivered as a managed control plane over the customer's own cloud account.

Positioning

Consider Qovery when a team wants a Heroku-like developer experience while keeping workloads and data inside its own cloud account for cost or compliance reasons. Compare the actual scope of managed Kubernetes operations against what your platform team would otherwise build.

Why it matters

Qovery has no free-forever tier - only a 14-day trial before a paid plan - so the useful evaluation is whether the managed layer removes enough Kubernetes/DevOps work in your own account to justify the subscription versus operating it directly.

Deployment & technical details

Technical details

Access
See vendor
Source model
Other license
Founded
2020
Headquarters
Paris, France
Pricing model
Paid
API
Available
Check with the publisher

Official resources

Before you shortlist

What to verify for your environment

Start from the users, systems and operating responsibilities the tool needs to support.

  • Confirm current features, licensing and support terms with the publisher.
  • Validate deployment, data location, access control, backup and recovery requirements.
  • Test integrations, export paths and a representative operational workflow before committing.
Community experience

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