One API across the infrastructure stack
Qovery provides a single API that unifies CI/CD, Kubernetes, Terraform, secrets, and monitoring so infrastructure operations can be handled from one control plane.
Qovery
RevendiquerQovery is an agentic infrastructure platform for teams to run CI/CD, Kubernetes, Terraform, secrets, and monitoring from one governed control plane on their own cloud.
Agentic infrastructure control plane
Qovery is an agentic infrastructure platform for teams that want AI agents and engineers to operate real infrastructure from one governed control plane. The product brings CI/CD, Kubernetes, Terraform, secrets, monitoring, and related tooling behind a single API so actions can be executed, tracked, and controlled consistently.
The site positions Qovery for organizations that want to run workloads in their own cloud while giving agents enough access to deploy, test, scale, and observe systems without stitching together multiple separate products. It supports workflows for AI coding agents, AI-assisted CI/CD, and remote development environments on customer infrastructure.
Core capabilities
Operate on your own infrastructure
The platform runs on your own cloud account and supports AWS, GCP, Azure, Scaleway, and on-premise or self-hosted Kubernetes on higher tiers.
Governed access and auditability
Qovery adds guardrails such as audit trails, scoped access, approvals, RBAC, and compliance controls so agent actions can be governed rather than treated as ad hoc automation.
Interfaces for agents and automation
The pricing and solution pages describe agent seats, supported interfaces such as MCP Server, CLI, API, and AI Skill, and workflows for AI coding agents.
Full-stack sandboxes for testing
The AI coding agents solution creates full-stack sandboxes with app, database, and services so agents can run tests and open tested pull requests against real environments.
Remote dev environments as an add-on
The remote dev environments solution positions Qovery as a builder portal for remote development environments on your own infrastructure.
Common use cases
Deploy and test agent-written code
Use Qovery when AI coding agents need a real environment to deploy code, run E2E tests, and open tested pull requests instead of handing off unverified diffs.
Remote development environments
Use Qovery to give teams and agents isolated remote development environments that run on your own infrastructure and mirror the application stack needed for build and test work.
AI-assisted CI/CD operations
Use Qovery when AI-assisted CI/CD workflows need a governed control plane for deploys, approvals, and infrastructure operations across the toolchain.
Governed infrastructure management
Use Qovery when infrastructure changes must remain attributable and governed with RBAC, audit logs, approvals, and scoped tokens on customer-owned cloud resources.
Unify infrastructure toolchains
Use Qovery when a platform team wants to standardize agent access to services such as Kubernetes, Terraform, secrets, monitoring, and registries behind one operational layer.
Pros and Cons
Pros
- Unifies several infrastructure systems behind a single API.
- Runs workloads in the customer’s own cloud account rather than a hosted execution environment.
- Adds governance controls such as RBAC, approvals, scoped tokens, and audit trails.
- Supports agent-oriented workflows, including tested PRs from full-stack sandboxes.
- Offers clear plan structure with Team, Business, and Enterprise options.
Cons
- Some capabilities are plan-dependent or offered as add-ons, including SSO, the AI Builder Portal (RDE), secret manager integration, and advanced monitoring.
- The site emphasizes running on your own infrastructure, so teams still need to manage their cloud accounts and Kubernetes environment.
- Pricing and some feature details differ by plan, so teams should compare the matrix carefully before choosing a tier.
FAQ
Does Qovery run my workloads?
Qovery is a control plane layered on top of your own cloud infrastructure. According to the site, your applications run in your own AWS, GCP, Azure, or Scaleway account on clusters you own, and Qovery does not see your workloads or data.
What is an AI agent seat?
The source describes AI agent seats as included with every plan. One AI agent seat is included per human user, with additional seats priced separately on the pricing page.
Is there a free trial?
Yes. The pricing page offers a free trial for the Team and Business plans, while Enterprise uses a custom annual contract.
What is the AI Builder Portal (RDE) add-on?
The site says the AI Builder Portal, also called RDE, is available as an add-on on the Business and Enterprise plans.
Quick Facts
- Category
- Agentic infrastructure platform
- Primary users
- Engineering teams, platform teams, and teams using AI coding agents
- Deployment model
- Control plane on customer-owned cloud infrastructure
- Source domain
- qovery.com
- Pricing model
- Paid plans with Team, Business, and Enterprise tiers
- Notable workflow
- Full-stack sandboxes, tested pull requests, and governed infrastructure operations