Qovery
DevOps platform for cloud deployments company
Qovery is a DevOps platform company whose product deploys and manages applications on a team's own cloud account, primarily AWS, by orchestrating Kubernetes underneath a simplified interface so developers can ship applications without…
Definition
Qovery is a DevOps platform company whose product deploys and manages applications on a team's own cloud account, primarily AWS, by orchestrating Kubernetes underneath a simplified interface so developers can ship applications without directly authoring Kubernetes manifests. It automates environment provisioning, preview environments per pull request, and application deployment while leaving the underlying cloud infrastructure inside the customer's own account rather than a shared multi-tenant environment.
Overview
Kubernetes gives teams a powerful and flexible way to run containerized applications, but configuring and operating a cluster directly requires specialized expertise that many application teams do not have in-house. Qovery addresses this by sitting between developers and their own cloud account's Kubernetes cluster, translating a simplified deployment configuration into the Kubernetes resources needed to run an application, so teams get Kubernetes' benefits without needing to write YAML manifests themselves. When a team connects a cloud account to Qovery, the platform provisions and manages a Kubernetes cluster within that account and deploys applications to it based on configuration supplied through a web interface, command-line tool, or configuration file. Qovery handles the underlying Kubernetes objects, networking, and ingress configuration automatically, and can spin up a full preview environment, complete with its own application instance and connected services, whenever a new pull request is opened, tearing it down again once the branch is merged or closed. Qovery's model of deploying into the customer's own cloud account, rather than hosting the runtime on Qovery's infrastructure, distinguishes it from platforms like Heroku or Vercel that run applications on their own shared infrastructure. It is closer in spirit to Porter, which takes a similar Kubernetes-in-your-own-account approach, though the two differ in their specific tooling and the range of cloud providers and configuration options they support. Engineering teams typically adopt Qovery to get Kubernetes-backed deployments and automated preview environments without hiring dedicated platform engineers to build that tooling internally, keeping full ownership of the underlying cloud resources and their associated billing. This is particularly relevant for organizations with compliance requirements that mandate infrastructure stay within their own cloud account rather than a third-party's shared environment. Because Qovery ultimately depends on the customer's own cloud account and a managed Kubernetes cluster within it, teams still incur the cloud provider's infrastructure costs in addition to Qovery's platform fee, and troubleshooting can occasionally require understanding the underlying Kubernetes layer that Qovery is designed to abstract away. Organizations wanting a fully hands-off platform with no visibility into the underlying infrastructure may find a more opinionated platform like Heroku a simpler fit. Qovery's per-pull-request preview environments are one of its most commonly cited benefits, since they let reviewers click through a running instance of a proposed change rather than reading a diff in isolation. Support for multiple cloud providers underneath the same Qovery interface also lets an organization avoid being fully locked to a single cloud vendor's own proprietary deployment tooling.
Key Features
- Deploys applications into the customer's own cloud account rather than shared infrastructure
- Orchestrates Kubernetes underneath a simplified deployment interface
- Automatically creates and tears down preview environments per pull request
- Supports configuration through a web UI, CLI, or configuration files
- Manages networking and ingress configuration without manual YAML authoring
- Keeps cloud billing and resource ownership with the customer's own account
- Targets teams that want Kubernetes benefits without in-house cluster expertise