Qovery: Kubernetes-Powered Deployment on Your Own Cloud Account

Here is a common dilemma for growing startups: you love the simplicity of Heroku-style PaaS, but you need the control, compliance, and cost efficiency of running on your own cloud account. Qovery solves this by deploying a fully managed Kubernetes control plane on your AWS, GCP, or Azure infrastructure — giving you PaaS ergonomics with full cloud ownership.

This guide covers everything you need to evaluate Qovery for your startup.

Table of Contents

What Is Qovery?

Qovery is a deployment platform that provisions and manages Kubernetes clusters inside your own cloud account (AWS, GCP, Azure, or Scaleway). You interact with a simple dashboard and CLI — Qovery translates your intent into Kubernetes resources, Terraform modules, and Helm charts under the hood.

The key differentiator: your code and data never leave your cloud account. Qovery is the control plane; your cloud provider is the data plane.

Official page: https://www.qovery.com

Key Features

• Deploy on your cloud — Kubernetes clusters managed in your AWS, GCP, or Azure account.
• Environment management — dev, staging, preview, and production environments.
• Preview environments — full-stack environments for each pull request.
• Database management — managed RDS, ElastiCache, DocumentDB via your cloud provider.
• CI/CD built-in — build and deploy from Git with zero configuration.
• Cost controls — start/stop environments on schedule to reduce cloud spend.
• Audit logs — full traceability of who deployed what and when.
• Terraform provider — manage Qovery resources as code.

Getting Started — How to Install and Deploy

Step 1: Connect Your Cloud Account

1. Sign up at console.qovery.com.
2. Go to Settings → Cloud Provider.
3. Follow the wizard to connect your AWS, GCP, or Azure account.
4. Qovery provisions a Kubernetes cluster (EKS, GKE, or AKS) in your account.

Note: The initial cluster setup takes 15–20 minutes. Qovery uses Terraform under the hood.

Step 2: Create an Environment

# Install the Qovery CLI
brew install qovery

# Or via curl
curl -s https://get.qovery.com | bash

# Login
qovery auth

# Set the project and environment context
qovery context set

Step 3: Deploy an Application

# From your project directory
qovery application create \
  --name my-api \
  --git-url https://github.com/myorg/my-api \
  --branch main \
  --port 3000

# Deploy
qovery application deploy --name my-api

Step 4: Add a Database

# Create a managed PostgreSQL (provisions RDS in your AWS account)
qovery database create \
  --name my-db \
  --type postgres \
  --version 16 \
  --mode managed

# Qovery automatically injects DATABASE_URL into your application

Infrastructure as Code with Terraform

resource "qovery_project" "my_startup" {
  organization_id = var.qovery_org_id
  name            = "my-startup"
}

resource "qovery_environment" "production" {
  project_id = qovery_project.my_startup.id
  name       = "production"
  mode       = "PRODUCTION"
  cluster_id = var.cluster_id
}

resource "qovery_application" "api" {
  environment_id = qovery_environment.production.id
  name           = "api"
  git_repository {
    url      = "https://github.com/myorg/my-api"
    branch   = "main"
    root_path = "/"
  }
  build_mode  = "DOCKER"
  cpu         = 500
  memory      = 512
  min_running_instances = 1
  max_running_instances = 3
  ports {
    internal_port       = 3000
    external_port       = 443
    protocol            = "HTTP"
    publicly_accessible = true
  }
}

Adoption Level (2025–2026)

Qovery has found strong adoption among mid-stage startups and enterprises that want PaaS simplicity without vendor lock-in.

Why teams choose Qovery:

• No vendor lock-in — everything runs on your own cloud account.
• Cost transparency — you see the exact AWS/GCP/Azure bill; Qovery charges separately.
• Compliance-friendly — data stays in your VPC; meets SOC 2, HIPAA requirements.
• Environment management — preview environments per PR are a game-changer for team productivity.
• Terraform integration — fits into existing IaC workflows.

Where Qovery falls short:

• Requires an existing cloud account (AWS, GCP, or Azure) — not zero-to-deploy like Railway.
• Initial cluster setup takes 15–20 minutes and the cluster itself costs money (EKS ~$75/month).
• Smaller community than Railway or Render.
• The free tier is limited — most useful features require a paid plan.

Best Examples for Implementing

1. Full-Stack SaaS with Managed AWS Services

AWS Account (managed by Qovery)
├── EKS Cluster
│   ├── api (Node.js container)
│   ├── worker (Python container)
│   └── frontend (React static build)
├── RDS PostgreSQL (managed)
├── ElastiCache Redis (managed)
└── S3 Bucket (static assets)

Qovery provisions and manages all these resources via Terraform. You interact with the Qovery dashboard; AWS handles the compute.

2. Multi-Environment Development Workflow

Project: my-saas
├── production (always running)
├── staging (scheduled: Mon-Fri, 8am-6pm)
├── dev (scheduled: Mon-Fri, 9am-5pm)
└── PR-123 (preview: auto-created, auto-destroyed)

Scheduled environments can save 60–70% on cloud costs for non-production workloads.

3. Microservices with Auto-Scaling

resource "qovery_application" "api" {
  # ...
  min_running_instances = 2
  max_running_instances = 10
  cpu     = 1000  # 1 vCPU
  memory  = 1024  # 1 GB
}

Qovery configures Kubernetes HPA on your cluster, scaling pods based on CPU/memory usage.

4. Multi-Cloud Deployment

Deploy the same application to multiple cloud providers for redundancy:

Qovery Organization
├── AWS Cluster (us-east-1) → production-us
├── GCP Cluster (europe-west1) → production-eu
└── Azure Cluster (eastasia) → production-asia

Each cluster is independent but managed from the same Qovery dashboard.

Cost Analysis

Qovery’s cost has two components: the Qovery platform fee and your cloud provider bill.

Qovery Platform Pricing

Cloud Provider Costs (Example: AWS)

Real-World Estimate for a Startup (3-Person Team)

• Qovery Team plan: $29 × 3 = $87/month
• AWS infrastructure: ~$162/month

Total: ~$249/month — more expensive than Railway or Render, but you own the infrastructure.

When Qovery Makes Financial Sense

• When you are already paying for AWS/GCP and want to simplify deployments.
• When compliance requires data to stay in your VPC (HIPAA, SOC 2, GDPR).
• When you have 5+ developers and environment management becomes a bottleneck.
• When you want to avoid cloud vendor lock-in (Qovery supports multiple providers).

When Qovery Is Overkill

• Solo founders or tiny teams (< 3 people) — Railway or Render is simpler and cheaper.
• Applications with minimal traffic that do not need Kubernetes.
• Prototypes and MVPs — the cluster setup overhead is not worth it.

Verdict

Qovery is the best option for startups that need PaaS simplicity on their own cloud account. If you have compliance requirements, want cost transparency, or plan to run multi-cloud — Qovery is a mature, well-engineered platform. The trade-off is higher baseline cost (EKS/GKE cluster + platform fee), but for teams past the MVP stage, it is a worthwhile investment.

TL;DR: Qovery gives you Heroku’s developer experience on your AWS/GCP/Azure account. If data sovereignty and cloud ownership matter to your startup, Qovery is the smartest choice in the managed PaaS space.

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