Qovery is a Kubernetes management platform that gives engineering teams a control plane for provisioning infrastructure, deploying applications, observing workloads, optimizing cloud usage, and enforcing security controls inside their own cloud environments. It is designed to remove day-to-day Kubernetes and platform complexity while keeping workloads, data, and secrets under customer ownership rather than moving them into a vendor-run runtime.
Qovery positions itself as a control plane for both human operators and AI agents. Its platform runs across major public clouds and bring-your-own Kubernetes environments, with open interfaces such as API, CLI, Terraform, and MCP-based AI access. The result is a self-service operating layer that helps teams standardize deployments, apply guardrails, and ship faster without building and maintaining a custom internal platform from scratch.
Offerings, Capabilities, and Integrations
Qovery combines Kubernetes lifecycle management, application delivery, observability, cost controls, and governance into a single operating layer. The platform supports self-service workflows for engineering teams while preserving centralized controls for platform, DevOps, and security stakeholders. It is built to run in customer-controlled cloud accounts and can support managed clusters as well as existing Kubernetes estates.
Beyond the core platform, Qovery exposes multiple integration points for enterprise workflows. Teams can work through the web console, CLI, REST API, Terraform, and MCP-compatible AI clients. It integrates with Git-based delivery patterns, container registries, Helm charts, webhooks, Slack notifications, Datadog, Prometheus/Grafana/ELK-style observability stacks, SAML/OIDC identity providers, and secrets tooling such as Doppler and AWS Secrets Manager.
Products and Services
- Provision: Kubernetes management layer for creating and operating clusters across AWS, Google Cloud, Microsoft Azure, Scaleway, and on-premises or existing Kubernetes environments.
- Deploy: Application deployment service for Kubernetes with Git-driven workflows, preview environments, zero-downtime releases, automatic rollbacks, and support for repositories, registries, and Helm charts.
- Observe: Built-in observability for applications and databases, covering metrics, logs, events, alerts, and service health within the Qovery console while keeping data in customer infrastructure.
- Optimize: Cost and performance optimization layer that handles right-sizing, idle-environment cleanup, spot-aware scheduling, and related infrastructure efficiency actions.
- Secure: Governance and compliance capabilities including RBAC, SSO, audit logs, secrets management, and security controls designed for regulated and policy-driven environments.
- Qovery AI Copilot: Agentic AI assistant for infrastructure management, deployment optimization, and DevOps workflows through natural-language interactions with Qovery resources.
- MCP Server: Model Context Protocol server that lets MCP-compatible AI clients interact with and operate existing Qovery infrastructure using natural language.
- AI Skill: AI agent deployment skill that analyzes source code, prepares deployment requirements, provisions needed components, and deploys applications onto Qovery from a prompt.
- Terraform Provider: Infrastructure-as-code provider for managing Qovery applications, environments, databases, and related resources declaratively with Terraform.
- Qovery API: REST API for programmatic control of Qovery resources, automation workflows, custom integrations, and external platform tooling.
Target Customers
Qovery targets platform engineering teams, DevOps and SRE functions, and software developers that want Kubernetes without exposing every team to raw cluster complexity. It fits organizations building or formalizing an internal developer platform and looking to deliver self-service deployments, environment management, and operational guardrails through one control plane.
The platform is especially relevant for companies that want to keep workloads in their own cloud accounts, support multi-cloud or hybrid Kubernetes strategies, and enforce auditability, access controls, and policy standards. Qovery also appeals to lean engineering organizations that do not want to staff a large internal platform team, as well as regulated businesses and teams adopting AI coding agents that need controlled, reviewable infrastructure access.
Cloud Integrations and Marketplace
- AWS Marketplace: Qovery is available for purchase through AWS Marketplace, giving customers a marketplace procurement path alongside their AWS spend.
- Amazon Web Services: Qovery integrates with AWS for managed or existing EKS deployments and supports AWS-native patterns such as Karpenter-based node provisioning and AWS Secrets Manager usage.
- Google Cloud: Qovery supports deployment on Google Cloud through GKE Autopilot, automating cluster setup, networking, scaling, and related platform configuration.
- Microsoft Azure: Qovery integrates with Azure Kubernetes Service for both Qovery-managed AKS environments and bring-your-own AKS deployments.
Key People
- Romaric Philogene: CEO & Co-founder
- Pierre Mavro: CTO & Co-founder
- Morgan Perry: CRO & Co-founder
- Queta González Lizardi: Chief of Staff
- Alessandro Carrano: Head of Product
- Romain Gérard: Head of Engineering
- Marie Mallassi: Senior People Manager
- Mélanie Dallé: Senior Marketing Manager
- Julien Dan: Technical Product Manager
Key Facts
- Headquarters: Paris, Île-de-France, France
- Employees: 40-50
- Annual Revenue: US$1M-US$10M
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: Privately held
