Qovery

Qovery

Qovery is a DevOps automation platform designed to abstract away the complexity of Kubernetes and cloud infrastructure, simplifying deployment and management of applications. It helps development teams build and operate production-ready cloud-native applications efficiently without deep infrastructure knowledge, boosting development productivity and collaboration.
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Kubernetes management platformDevOps automation platformcloud-native application deploymentinfrastructure as codemulti-cloud managementinternal developer platform (IDP)ephemeral environment managementapplication lifecycle management

Features of Qovery

Unified control plane for automating Kubernetes operations, governance, and multi-cloud cluster management, supporting major cloud providers
Infrastructure as code (based on Terraform and Helm) enables repeatable, versioned infrastructure configurations and deployments
Automatically creates production-like temporary environments for each pull request for preview, testing and collaboration
Web UI and CLI tools with Git-triggered deployments, real-time logs, and environment previews
Optimizes cloud resource usage and costs through resource sharing and automatic sleep of idle environments
Enterprise-grade governance features including RBAC, operational audit logs, and budget controls
Deep integration with Helm charts and GitOps to build end-to-end, auditable continuous delivery pipelines
Provides REST API, Terraform provider, and CLI for easy integration with existing CI/CD toolchains

Use Cases of Qovery

When development teams need to quickly deploy and manage cloud-native applications but want to avoid handling complex Kubernetes configurations directly
During code reviews or feature testing, quickly create isolated, production-like temporary environments for each pull request
Organizations seeking to build a standardized internal developer platform (IDP) to balance developer autonomy, governance, and cost control
When deploying and managing applications consistently across multi-cloud environments—AWS, GCP, Azure, or on-prem Kubernetes clusters
Looking to improve cloud resource efficiency and reduce cloud infrastructure costs through automation
Development or operations teams seeking to codify and version infrastructure configurations to achieve repeatable and reliable deployment pipelines

FAQ about Qovery

QWhat is Qovery?

Qovery is a DevOps automation platform whose core goal is to simplify the management of Kubernetes and cloud infrastructure, helping development teams deploy and manage cloud-native applications more efficiently.

QWhat problems does Qovery primarily solve?

It mainly tackles the complexity and high learning curve of Kubernetes and cloud infrastructure management. By offering abstraction and automation, it lets development teams focus more on building applications.

QWhich cloud providers or infrastructures does Qovery support?

Out of the box, Qovery supports AWS, Google Cloud Platform (GCP), Azure, and Scaleway, and is compatible with user-owned Kubernetes clusters.

QDo you need deep DevOps or Kubernetes knowledge to use Qovery?

One of Qovery's goals is to lower the barrier to these technologies, enabling development teams to deploy and manage applications efficiently without deep expertise.

QHow does Qovery help manage cloud costs?

The platform offers features such as resource sharing, automatic sleeping of idle environments, and cost analytics to help users better manage and optimize cloud resource usage and expenses.

QWhat security and compliance features does Qovery provide?

It provides governance features like RBAC, operational audit logs, and budget controls. For specific security standards and certifications, please refer to the official documentation or contact Qovery for details.

QHow does Qovery integrate with existing development toolchains?

It deeply integrates with Git repositories, supports GitOps workflows, and offers REST API, Terraform provider, and a CLI to connect with existing CI/CD toolchains.

QWhat exactly is Qovery's temporary environment feature?

This feature automatically creates isolated, production-like environments for pull requests, enabling feature previews, integration testing, and team collaboration, with automatic cleanup after use.