Qovery

What is Qovery?

Qovery is a DevOps automation platform designed to eliminate the need for dedicated DevOps hiring by enabling rapid provisioning and maintenance of secure, compliant cloud infrastructure. It provides an abstraction layer over Kubernetes and major cloud providers like AWS, GCP, and Scaleway, allowing developers to deploy production-ready applications in minutes without deep infrastructure knowledge. Platform engineering teams retain control and auditability while empowering developers with self-service deployment, ephemeral environments, and seamless Git integration. Qovery also optimizes cloud costs through intelligent autoscaling and resource sharing.

Key Features

• Kubernetes Abstraction Layer

  Simplifies Kubernetes management by automating cluster setup and application deployment, enabling developers to deploy apps without Kubernetes expertise.

• Multi-Cloud Support and BYOK

  Supports AWS, Google Cloud Platform, Scaleway, and allows users to bring their own Kubernetes clusters for flexible deployment options.

• Self-Service Developer Platform

  Empowers developers to deploy, scale, and debug applications independently with features like Git push deployment, live logs, and ephemeral environments.

• Cost Optimization

  Includes features like shared load balancers, automatic environment shutdowns, and integration with AI-driven cost management tools to reduce cloud expenses.

• Helm and GitOps Integration

  Supports Helm chart deployments and GitOps workflows, streamlining continuous integration and delivery pipelines.

• Security and Compliance

  Keeps configurations encrypted and stored on users’ cloud accounts, ensuring data privacy and compliance without Qovery accessing user data.

Use Cases

• Developer Autonomy : Developers can deploy and manage applications independently without requiring infrastructure expertise, accelerating development cycles.
• Platform Engineering Enablement : Platform teams can build tailored internal developer platforms with RBAC, audit logs, and cost controls, maintaining governance while boosting productivity.
• Cloud Cost Management : Organizations can optimize cloud spending through automated scaling, resource sharing, and AI-driven recommendations.
• Ephemeral Testing Environments : Automatically spin up production-like environments for testing pull requests, improving quality and reducing manual setup.
• Multi-Cloud and Hybrid Deployments : Deploy applications across multiple cloud providers or on-premises Kubernetes clusters for flexibility and resilience.

FAQs