Blog
Scaleway
Kubernetes
4
minutes

3 Reasons Why This Startup Migrated From Clever Cloud to Scaleway Kapsule

Making infrastructure decisions can feel like a high-stakes puzzle: finding the right balance between technical capabilities, cost efficiency, and ease of management is no small feat. Recently, a company switched from Clever Cloud to Scaleway Kapsule (Kubernetes), with Qovery orchestrating its transition. Here’s what drove this change and how it’s paid off.
September 26, 2025
Romaric Philogène
CEO & Co-founder
Summary
Twitter icon
linkedin icon

1. Hitting Technical Roadblocks

Let’s be honest: even the best platforms have their limits. With Clever Cloud, the company found themselves unable to deploy modern data tools like Airbyte. While Clever Cloud handles traditional web apps well, it’s tethered to a catalog of pre-integrated add-on services. If something crucial — like Airbyte — wasn’t in the catalog, they were out of luck. The only alternatives were to host these services separately or opt for a managed solution, neither of which worked due to the company’s need to keep everything on EU servers for regulatory reasons.

By moving to Scaleway Kapsule with Qovery, this company unlocked the power of Kubernetes, giving them the freedom to deploy self-hosted data tools without restrictions. Now, they can run Airbyte and other essential components right alongside their web apps, all within a compliant, EU-based infrastructure.

Discover how you can quickly deploy Airbyte with Qovery

2. The High Cost of Idle Resources

One big downside to many Platform-as-a-Service (PaaS) providers, including Clever Cloud, is how they price resources. Even with several apps that barely consumed 1GB of RAM and 1 vCPU combined, the company had to pay for resource blocks they didn’t fully use. That’s like buying an all-you-can-eat buffet ticket when all you really wanted was a light snack. The cost increased quickly, and they knew there had to be a better way.

With Clever Cloud and others PaaS you pay for what you don't use. You leave money on the table!

Enter Scaleway Kapsule and Qovery. With a Kubernetes-based setup, resources could finally be pooled across apps, ensuring no RAM or CPU wasted. Qovery's smart resource management meant they were billed only for what they used, a simple yet transformative change.

Kubernetes optimizes the usage of CPU and RAM resources

Kubernetes dynamically adjusts resources, so if an app doesn’t need extra power, it doesn’t get it—and they don’t get charged for it. Simple, efficient, and budget-friendly.

3. Better Testing Environments

Testing environments can be resource hogs, and on Clever Cloud, there was no built-in support for ephemeral environments. This company had to create and maintain three static testing environments running 24/7. The catch? They were only in use for about 5 hours a day. That’s a lot of waste, both in terms of money and resources.

Switching to Qovery allowed them to fully embrace ephemeral environments. Now, every pull request spins up its own environment, which automatically shuts down when it’s no longer needed. This means the infrastructure isn’t running over the weekend or during off-hours, saving a massive chunk of change. By using Kubernetes’ ability to free up resources, they reduced the cost of testing environments drastically. If they had been paying for round-the-clock environments that were only used 20% of the time, they’ve now slashed costs by up to 80%. It’s a win-win.

Painless Migration Process

Migrating to a new platform can be intimidating, but this company’s experience was surprisingly smooth. In fact, they were able to migrate their staging and testing environments in 3 hours, even though they had no prior experience with Qovery or Scaleway. This is thanks to Qovery’s automated setup, which creates and maintains the Scaleway Kapsule cluster, so minimal manual work is involved.

Check out Scaleway with Qovery documentation

Two weeks later, after testing the setup and feeling confident, they moved their production environment. This phase was crucial, and with the help of Qovery’s dedicated Customer Service team, the migration was handled seamlessly with minimal downtime. The team’s support ensured everything transitioned smoothly, allowing the company to keep operations running.

Wrapping It Up

Migrating from Clever Cloud to Scaleway Kapsule with Qovery brought huge benefits: modern deployment capabilities, significant cost savings, and smarter infrastructure management — all in a remarkably short time. For teams struggling with similar constraints, the message is clear: sometimes, a well-planned infrastructure migration is all it takes to unlock potential and efficiency.

If this journey sounds familiar or inspiring, maybe it’s time to reconsider your setup. You never know how much better things can get until you make the move.

Share on :
Twitter icon
linkedin icon
Tired of fighting your Kubernetes platform?
Qovery provides a unified Kubernetes control plane for cluster provisioning, security, and deployments - giving you an enterprise-grade platform without the DIY overhead.
See it in action

Suggested articles

AI
Compliance
 minutes
Agentic AI infrastructure: moving beyond Copilots to autonomous operations

The shift from AI copilots to autonomous agents is redefining infrastructure requirements. Discover how to build secure, stateful, and compliant Agentic AI systems using Kubernetes, sandboxing, and observability while meeting EU AI Act standards

Mélanie Dallé
Senior Marketing Manager
Kubernetes
8
 minutes
The 2026 guide to Kubernetes management: master day-2 ops with agentic control

Effective Kubernetes management in 2026 demands a shift from manual cluster building to intent-based fleet orchestration. By implementing agentic automation on standard EKS, GKE, or AKS clusters, enterprises eliminate operational weight, prevent configuration drift, and proactively control cloud spend without vendor lock-in, enabling effective scaling across massive fleets.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
 minutes
Building a single pane of glass for enterprise Kubernetes fleets

A Kubernetes single pane of glass is a centralized management layer that unifies visibility, access control, cost allocation, and policy enforcement across § cluster in an enterprise fleet for all cloud providers. It replaces the fragmented practice of switching between AWS, GCP, and Azure consoles to govern infrastructure, giving platform teams a single source of truth for multi-cloud Kubernetes operations.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
 minutes
How to deploy a Docker container on Kubernetes (and why manual YAML fails at scale)

Deploying a Docker container on Kubernetes requires building an image, authenticating with a registry, writing YAML deployment manifests, configuring services, and executing kubectl commands. While necessary to understand, executing this manual workflow across thousands of clusters causes severe configuration drift. Enterprise platform teams use agentic platforms to automate the entire deployment lifecycle.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
Terraform
 minutes
Managing Kubernetes deployment YAML across multi-cloud enterprise fleets

At enterprise scale, managing provider-specific Kubernetes YAML across multiple clouds creates crippling configuration drift and operational toil. By adopting an agentic Kubernetes management platform, infrastructure teams abstract cloud-specific configurations (like ingress controllers and storage classes) into a single, declarative intent that automatically reconciles across 1,000+ clusters.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
Cloud
AI
FinOps
 minutes
GPU orchestration guide: How to auto-scale Kubernetes clusters and slash AI infrastructure costs

To stop GPU costs from destroying SaaS margins, teams must transition from static to consumption-based infrastructure by utilizing Karpenter for dynamic provisioning, maximizing hardware density with NVIDIA MIG, and leveraging Qovery to tie scaling directly to business metrics.

Mélanie Dallé
Senior Marketing Manager
Product
AI
Deployment
 minutes
Stop Guessing, Start Shipping. AI-Powered Deployment Troubleshooting

AI is helping developers write more code, faster than ever. But writing code is only half the story. What happens after? Building, deploying, debugging, scaling. That's where teams still lose hours.We're building Qovery for this era. Not just to deploy your code, but to make everything that comes after writing it just as fast.

Alessandro Carrano
Head of Product
AI
Developer Experience
Kubernetes
 minutes
MCP Server is the future of your team's incident’s response

Learn how to use the Model Context Protocol (MCP) to transform static runbooks into intelligent, real-time investigation tools for Kubernetes and cert-manager.

Romain Gérard
Staff Software Engineer

It’s time to change
the way you manage K8s

Turn Kubernetes into your strategic advantage with Qovery, automating the heavy lifting while you stay in control.